2068 Inference Jobs - Page 21

Experience : 2.00 + years Salary : INR 3000000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Yugen AI) (*Note: This is a requirement for one of Uplers' client - Yugen AI) What do you need for this opportunity? Must have skills required: LLM, Kubernetes, Machine Learning, Python, LLM finetuning, Deployment, Machine Learning Framework Yugen AI is Looking for: We are looking for a talented LLMOps Engineer to design, deploy, and operationalise agentic solutions for fraud investigations. This is critical to reducing fraud investigations TAT (turn-around time) by more than 70%. In this role, you will work directly with our CTO, Soumanta Das , as well as a team of 5 engineers (Backend Engineers, Data Engineers, Platform Engineers). Responsibilities Deploy and scale LLM inference workloads on Kubernetes (K8s) with 99.9% uptime. Build agentic tools and services for fraud investigations with complex reasoning capabilities. Work with Platform Engineers to set up monitoring and observability (e.g., Prometheus, Grafana) to track model performance and system health. Fine-tune open-source LLMs using TRL or similar libraries. Use Terraform for infrastructure-as-code to support scalable ML deployments. Contribute to Tech blogs, especially technical deep dives of the latest research in the field of reasoning. Requirements Strong programming skills (Python, etc.) and problem-solving abilities. Hands-on experience with open-source LLM inference and serving frameworks such as vLLM. Deep expertise in Kubernetes (K8s) for orchestrating LLM workloads. Some familiarity with fine-tuning and deploying open-source LLMs using GRPO, TRL, or similar frameworks. Deep expertise in Kubernetes (K8s) for orchestrating LLM workloads. Familiarity with/Knowledge of high-availability systems. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary Job Description Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Requirements Master’s/Bachelor’s degree in computer science or equivalent. 2-4 years of relevant work experience in software development. Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.) Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong in C/C++ programming, Design Patterns and OS concepts. Good scripting skills in Python. Excellent analytical and debugging skills. Good communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development and familiarity Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and languages like OpenCL and CUDA is a plus. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3077906

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments.

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments.

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive engineers to play a pivotal role in the development/maintenance of industry-leading multi-modal and multi-lingual large language models (LLM). AGI team's mission is to leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world. We believe in "Work Hard. Have Fun. Make History" value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. You will be required to deeply understand technology landscapes, and evaluate the use of new technologies. You will be influential within your team and work with peers and senior leaders to define and revise the standards for operational excellence across systems. You will consistently tackle abstract issues that span multiple functional areas and drive your team to push for improvements that can scale across other teams, services, and platforms. Key job responsibilities Provide support for cluster and node management, ensuring smooth operation of LLM infrastructure. Continuously improve and automate our cluster/capacity/maintenance upgrades. Develop automation tools for improving operational excellence. Work on operations and maintenance driven coding projects, primarily in Ruby, Rails, Java, Python, or shell scripts, AWS, web technologies projects. Should have hands-on experience in Kubernetes and expertise in different AWS services. Drive Company Wide Campaigns with Support and Engineering teams and drive it to closure. Participate in design and code reviews and identify bottlenecks. Troubleshoot and research root causes throughly and resolve defects. About The Team Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence. Basic Qualifications Experience in automating, deploying, and supporting infrastructure Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust Experience with Linux/Unix Preferred Qualifications Experience with CI/CD pipelines build processes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Job Description Join us to enhance credit card acquisition strategies and drive sustainable growth. As a Quant Analytics Associate within the Card Data and Analytics team, you will leverage your expertise in data engineering, analysis, and modeling to advance our credit card acquisition strategies. You will develop predictive models, create data assets, and refine processes to support acquisitions forecasts and offers. This individual contributor role is integral to driving the growth of our credit card portfolio through quantitative methods and data exploration. Job Responsibilities Provide tactical support and strategic oversight to Product, Marketing, Finance, and Risk teams for credit card acquisitions. Develop actionable data-driven insights for marketing campaigns. Leverage and develop data assets to improve acquisitions forecast quality. Support business goals by developing reports for senior leaders to monitor key performance metrics. Enhance efficiency and effectiveness by identifying and closing gaps in processes and systems. Ensure business continuity by adopting standards and best practices. Stay current with industry trends and emerging technologies. Required Qualifications, Capabilities, And Skills Degree in a quantitative discipline (e.g., engineering, mathematics, computer science). 4+ years of experience in data/decision science, forecasting, data management/engineering, and business intelligence. Proficiency in data ETL, analysis, visualization, and change management using tools like Snowflake, SAS, Python, R, Alteryx, Tableau, GitHub, Excel, PowerPoint. Ability to communicate clearly to audiences of varying technical levels. Preferred Qualifications, Capabilities, And Skills Experience with causal inference and machine learning techniques, including developing and deploying quantitative models. Professional experience in consumer banking, lending, or similarly regulated industries. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as a Computer Vision Engineer and help startups build AI systems that understand, analyze, and act on visual data. From object detection and facial recognition to medical imaging and video analytics, you'll work on real-world use cases that require state-of-the-art computer vision solutions. Role Overview As a Computer Vision Engineer, you will: Design, train, and deploy computer vision models for specific business applications Work with image, video, or 3D data to extract insights and automate workflows Collaborate with teams to integrate CV models into scalable products What You’ll Do Build and fine-tune models for classification, detection, segmentation, tracking, or OCR Use libraries like OpenCV, PyTorch, TensorFlow, Detectron2, or YOLO Preprocess and augment datasets to improve model robustness Deploy models using APIs, edge devices, or cloud-based inference tools Monitor performance and continuously optimize for accuracy and speed Technical Requirements 3+ years of experience in computer vision or deep learning Proficient in Python and frameworks like PyTorch, TensorFlow, or Keras Experience with OpenCV, scikit-image, and image/video processing pipelines Familiarity with model deployment using ONNX, TensorRT, or cloud services Bonus: experience with real-time CV, synthetic data, or 3D vision What We’re Looking For A hands-on developer who can take vision-based problems from idea to production A freelancer who enjoys working with data-rich products and diverse use cases Someone who can collaborate with both technical and product teams to deliver real impact Why Join Us Work on challenging computer vision projects across industries Fully remote and flexible freelance opportunities Get matched with future roles in CV, AI, and edge deployment Join a growing network solving real-world problems with intelligent vision systems Ready to bring vision to life? Apply now to become a Computer Vision Engineer with BeGig.

Team Overview The Innovation and Intelligence Team within the Data and Analytics Operations function of the London Stock Exchange Group (LSEG) delivers and supports several Data Science capabilities. Our team works in an agile manner to prioritize and deliver value at pace while maintaining a focus on long-term initiatives and technical capabilities to enable continuous improvement of our service offering. We collaborate closely with Engineering teams to influence the D&A Operations technology roadmap and partner with D&A Ops leaders to build ways of working that nurture innovation, speed, and quality. Responsibilities As a member of our team, you will: Design and develop solutions and capabilities powered by AI/ML technologies. Collaborate with multi-functional teams to understand and scope requirements and implement innovative solutions. Develop MVPs to test the validity of approaches for various use cases. Integrate developed solutions with platforms. Set up data pipelines, inference pipelines, and other automations. Continuously learn and quickly upskill in relevant technologies. Work closely with Operations and Technology teams to ensure seamless integration and delivery. Requirements We are looking for candidates who have: Proven experience as an AI/ML professional. A strong understanding of Python programming concepts, leading practices, and SQL skills. Experience in any cloud computing environment. Familiarity with Machine Learning Operations (MLOps) methodologies. An eye for detail and strong analytical skills. Excellent problem-solving abilities. Strong communication and presentation skills. Equal Opportunity and Accommodation LSEG is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We provide reasonable accommodations to individuals with disabilities to ensure they can participate fully in the recruitment process and perform essential job functions. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

AI/ML Engineer / Data Scientist Company: Triumph Edge Innovations Pvt. Ltd. Location: Ernakulam , Kerala, India Job Type: Full-time, Part time About Triumph Edge: Triumph Edge is a leading Indian technology firm dedicated to providing cutting-edge AI-Powered Image Analysis (AI-PIA) solutions for India's defense sector. In alignment with the "Atmanirbhar Bharat" and "Make in India" initiatives, we are committed to building indigenously developed, state-of-the-art AI systems for Intelligence, Surveillance, and Reconnaissance (ISR). Our mission is to empower our armed forces with efficient, secure, and actionable intelligence, contributing directly to national security. Job Summary: As an AI/ML Engineer / Data Scientist at Triumph Edge, you will be an integral part of our R&D team, responsible for designing, developing, and deploying advanced AI-powered image analysis systems for defence applications. You will have a direct impact on building and optimizing models that can analyse large-scale visual datasets, detect threats, and enhance situational awareness. We are seeking individuals passionate about national security and capable of solving complex challenges using cutting-edge AI technologies. Key Responsibilities and Duties: AI/ML Model Development: Design, train, and evaluate state-of-the-art Deep Learning and Computer Vision models for critical defence requirements (e.g., object detection, classification, tracking, change detection, anomaly detection, facial recognition). Work extensively with various neural network architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models. Continuously improve model performance, accuracy, and efficiency across diverse operational environments (e.g., varying lighting, weather conditions, terrain types). Explore and integrate Generative AI (GenAI) models where applicable for tasks like synthetic data generation or image enhancement. Data Engineering & Preprocessing: Collect, clean, label, and preprocess large-scale image and video datasets (including satellite imagery, drone footage, and ground sensor data). Develop and maintain robust data pipelines for efficient data ingestion, transformation, and preparation for AI model training and evaluation. Ensure the quality, integrity, and security of sensitive defense-related data. Algorithm Optimisation & Deployment: Optimize AI models for efficient deployment on resource-constrained edge devices (e.g., drones, ground sensors) and high-performance computing (HPC) environments for real-time inference. Implement techniques such as model compression, quantization, and inference optimization to enhance performance on target hardware. Monitor and maintain the performance of deployed AI models in production environments. Research and Innovation: Stay abreast of the latest research trends and advancements in Machine Learning, Deep Learning, and Computer Vision, particularly those relevant to the defense domain. Conduct experimental research and develop innovative solutions to address complex, real-world challenges in defense intelligence. Contribute to intellectual property generation, including patents and research publications. Team Collaboration: Collaborate effectively with cross-functional teams, including Software Engineers, Data Engineers, DevOps Engineers, and Defence Domain Experts, to integrate AI solutions into larger systems. Clearly communicate complex technical concepts, findings, and recommendations to both technical and non-technical stakeholders. Participate in code reviews, knowledge sharing sessions, and contribute to a collaborative R&D culture. Security & Compliance: Adhere to stringent cybersecurity protocols and secure coding practices for all AI model development and deployment. Ensure compliance with relevant Indian defense regulations and data security standards. Required Qualifications & Skills: Education: Master's degree (M.Tech/MS) or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field. Experience: [Specify preferred years of experience, e.g., 2+ years for Mid-level, 5+ years for Senior-level] of hands-on experience in AI/ML model development, specifically in Computer Vision. Proven experience in building and deploying Deep Learning models for real-world applications. Technical Proficiency: Programming Languages: Expert-level proficiency in Python, with extensive experience using scientific computing libraries (NumPy, Pandas, Scikit-learn). Proficiency in C++ is a significant advantage for high-performance applications. Deep Learning Frameworks: Strong hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch). Computer Vision Libraries/Techniques: In-depth knowledge and practical experience with OpenCV, and familiarity with various computer vision algorithms (e.g., object detection models like YOLO, Faster R-CNN; segmentation, tracking algorithms). Data Management: Experience with data cleaning, feature engineering, and working with large datasets. Familiarity with SQL and/or NoSQL databases is a plus. Cloud Platforms: Experience with cloud computing platforms (AWS, Azure, or GCP) for AI model training and deployment is desirable. Problem-Solving: Excellent analytical and problem-solving skills, with a strong ability to translate complex defence requirements into effective AI solutions. Learning Agility: Eagerness to learn new technologies, adapt to evolving research trends, and continuously improve technical skills. Communication: Strong verbal and written communication skills, capable of articulating technical concepts clearly. Preferred Qualifications (Bonus Points): Prior experience working on projects related to the defense sector, aerospace, or intelligence agencies. Familiarity with specific Indian defence regulations or standards. Experience with MLOps practices for deploying and managing AI models in production. Knowledge of explainable AI (XAI) techniques. Publications in top-tier AI/ML/Computer Vision conferences or journals. Experience with GPU optimisation (CUDA programming). Why Join Triumph Edge? Impactful Work: Contribute directly to strengthening India's national security and the "Atmanirbhar Bharat" initiative. Cutting-Edge Technology: Work on highly advanced AI and Deep Learning problems with real-world applications in defence. Innovation Culture: Be part of a dynamic R&D team that fosters creativity, continuous learning, and groundbreaking research. Growth Opportunities: Grow your career in a rapidly expanding sector with significant opportunities for professional development. Collaborative Environment: Work alongside brilliant minds, including experienced AI researchers, engineers, and defence domain experts. To Apply: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and interest in this role. Job Types: Part-time, Permanent, Internship, Contractual / Temporary, Freelance Contract length: 36 months Pay: ₹266,866.36 - ₹1,794,918.81 per year Expected hours: 30 per week Benefits: Cell phone reimbursement Work Location: In person

- Experience in automating, deploying, and supporting infrastructure - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience with Linux/Unix The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive engineers to play a pivotal role in the development/maintenance of industry-leading multi-modal and multi-lingual large language models (LLM). AGI team's mission is to leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world. We believe in “Work Hard. Have Fun. Make History” value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. You will be required to deeply understand technology landscapes, and evaluate the use of new technologies. You will be influential within your team and work with peers and senior leaders to define and revise the standards for operational excellence across systems. You will consistently tackle abstract issues that span multiple functional areas and drive your team to push for improvements that can scale across other teams, services, and platforms. Key job responsibilities Provide support for cluster and node management, ensuring smooth operation of LLM infrastructure. Continuously improve and automate our cluster/capacity/maintenance upgrades. Develop automation tools for improving operational excellence. Work on operations and maintenance driven coding projects, primarily in Ruby, Rails, Java, Python, or shell scripts, AWS, web technologies projects. Should have hands-on experience in Kubernetes and expertise in different AWS services. Drive Company Wide Campaigns with Support and Engineering teams and drive it to closure. Participate in design and code reviews and identify bottlenecks. Troubleshoot and research root causes throughly and resolve defects. About the team Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence. Experience with CI/CD pipelines build processes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Experience : 2.00 + years Salary : INR 3000000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Yugen AI) (*Note: This is a requirement for one of Uplers' client - Yugen AI) What do you need for this opportunity? Must have skills required: LLM, Kubernetes, Machine Learning, Python, LLM finetuning, Deployment, Machine Learning Framework Yugen AI is Looking for: We are looking for a talented LLMOps Engineer to design, deploy, and operationalise agentic solutions for fraud investigations. This is critical to reducing fraud investigations TAT (turn-around time) by more than 70%. In this role, you will work directly with our CTO, Soumanta Das , as well as a team of 5 engineers (Backend Engineers, Data Engineers, Platform Engineers). Responsibilities Deploy and scale LLM inference workloads on Kubernetes (K8s) with 99.9% uptime. Build agentic tools and services for fraud investigations with complex reasoning capabilities. Work with Platform Engineers to set up monitoring and observability (e.g., Prometheus, Grafana) to track model performance and system health. Fine-tune open-source LLMs using TRL or similar libraries. Use Terraform for infrastructure-as-code to support scalable ML deployments. Contribute to Tech blogs, especially technical deep dives of the latest research in the field of reasoning. Requirements Strong programming skills (Python, etc.) and problem-solving abilities. Hands-on experience with open-source LLM inference and serving frameworks such as vLLM. Deep expertise in Kubernetes (K8s) for orchestrating LLM workloads. Some familiarity with fine-tuning and deploying open-source LLMs using GRPO, TRL, or similar frameworks. Deep expertise in Kubernetes (K8s) for orchestrating LLM workloads. Familiarity with/Knowledge of high-availability systems. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Lead Python Engineer – Backend & AI Integrations Location: Gurgaon Working Days: Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM – 8:00 PM Experience : 3–8 years Function: Backend Engineering | AI Platform Integration | Scalable Systems About Darwix AI Darwix AI is one of India’s fastest-growing GenAI SaaS companies powering real-time decision intelligence for enterprise revenue teams. Our platform transforms frontline performance through: Transform+: Live agent nudges & call intelligence Sherpa.ai: GenAI-powered multilingual sales coach Store Intel: Computer vision for in-store sales analysis We serve market leaders across BFSI, real estate, and retail—including IndiaMart, Wakefit, GIVA, Sobha, and Bank Dofar. Our stack processes thousands of voice conversations daily, powers real-time dashboards, and delivers high-stakes nudges that directly impact multi-crore revenue pipelines. We are building at the intersection of voice AI, backend scale, and real-time analytics. You will play a key role in shaping the tech foundation that drives this mission. Role Overview We’re looking for a Lead Python Engineer to architect, own, and scale the core backend systems that power Darwix AI’s GenAI applications. You’ll work at the confluence of backend engineering, data pipelines, speech processing, and AI model integrations—supporting everything from real-time call ingestion to multi-tenant analytics dashboards. You will lead a high-performing engineering pod, collaborate with product, AI, and infra teams, and mentor junior engineers. This is a high-impact, ownership-first role with direct influence over product velocity, system performance, and enterprise reliability. Key Responsibilities 1. Backend Architecture & Infrastructure Design and maintain scalable APIs and backend systems using Python (FastAPI) Optimize data flow for speech-to-text transcription, diarization outputs, and call scoring workflows Build and maintain modular service components (STT, scoring engine, notification triggers) Manage asynchronous job queues (Celery, Redis) for large batch processing Ensure high availability, security, and scalability of backend systems across geographies 2. AI/ML Integration & Processing Pipelines Integrate with LLMs (OpenAI, Cohere, Hugging Face) and inference APIs for custom use cases Handle ingestion and parsing of STT outputs (WhisperX, Deepgram, etc.) Work closely with the AI team to productionize model outputs into usable product layers Manage embedding pipelines, RAG workflows, and retrieval caching across client tenants 3. Database & Data Engineering Design and maintain schemas across PostgreSQL, MongoDB, and TimescaleDB Optimize read/write operations for large call data, agent metrics, and dashboard queries Collaborate on real-time analytics systems used by enterprise sales teams Implement access controls and tenant isolation logic for sensitive sales data 4. Platform Reliability, Monitoring & Scaling Collaborate with DevOps team on infrastructure orchestration (Docker, Kubernetes, GitHub Actions) Set up alerting, logging, and auto-recovery protocols for uptime guarantees Drive version control and CI/CD automation for releases with minimal regression Support benchmarking, load testing, and latency reduction initiatives 5. Technical Leadership & Team Collaboration Mentor junior engineers, review pull requests, and enforce code quality standards Collaborate with product managers on scoping and technical feasibility Break down large tech initiatives into sprints and delegate effectively Take ownership of technical decisions and present trade-offs with clarity Required Skills & Experience 3–8 years of hands-on backend engineering experience, primarily in Python Strong grasp of FastAPI, REST APIs, job queues (Celery), and async workflows Solid experience with relational and NoSQL databases: PostgreSQL, MongoDB, Redis Familiarity with working on production systems involving large-scale API calls or streaming data Prior experience integrating 3rd-party APIs (e.g., OpenAI, CRM, VoIP, or transcription vendors) Working knowledge of Docker, CI/CD pipelines (GitHub Actions preferred), and basic infra scaling Experience working in high-growth SaaS or data-product companies Bonus Skills (Preferred, Not Mandatory) Experience with LLM applications, vector stores (FAISS, Pinecone), and RAG pipelines Familiarity with speech-to-text engines (WhisperX, Deepgram) and audio processing Prior exposure to multi-tenant SaaS systems with role-based access and usage metering Knowledge of OAuth2, webhooks, event-driven architectures Experience with frontend collaboration (Angular/React) and mobile APIs Contributions to open-source projects, technical blogs, or developer communities

Data Scientist — Quantitative Machine Learning Location Hyderabad (preferred) — hybrid friendly. Exceptional remote candidates within India will be considered. About InvestorAi InvestorAi is an AI-first fintech that transforms vast, noisy market data into real-time, alpha-generating insights for global investors. Our proprietary “spatial-ordering” pipelines, genetic-algorithm search, and deep-learning mixture-of-experts have delivered a 45 % CAGR while remaining lean and profitable. With new capital and an ambitious roadmap, we’re scaling research and production deployment of models that trade live capital every day. Our Al algorithms have been trained and developed by our expert tam at Bridgeweave Labs using 14 years of stock market data. We perform over 35 million computations using sophisticated AI techniques like Computer Vision, Convolutional Neural Networks, Genetic Algorithms etc. to produce the best possible investment ideas. We have over 2 years of track record of producing exceptional results and outlier win rates for our investors. Why this role matters Model ownership, end-to-end: You’ll design, train, validate, and deploy production-grade models that directly drive portfolio decisions and P&L. Cutting-edge R&D: Work on entropy-based initializers, hybrid CNN/Transformer architectures, and Optuna-driven hyper-parameter searches—ideas that rarely escape academia. Massive impact: A single improvement in signal quality or latency can unlock millions in incremental alpha. Key Responsibilities Area What You’ll Own Research & Signal Discovery Ideate and prototype novel features from tick-level, fundamental, and alternative data; explore quantum-inspired ordering, autoencoders, time-series augmentations. Model Development Build, iterate, and benchmark CNNs, Transformers, GNNs, and Mixture-of-Experts using TensorFlow/PyTorch ; run large-scale Optuna sweeps on our GPU cluster. Deployment & MLOps Package models as Docker images, publish to our Kubernetes-based inference platform, and write CI/CD tests to ensure reproducible builds and seamless rollbacks. Performance Monitoring Create dashboards for live AUC-ROC, precision-recall, drawdown, beta, and slippage; set alert thresholds and conduct post-mortems when KPIs drift. Cross-functional Collaboration Partner with quant researchers, portfolio managers, and full-stack engineers to push models from Jupyter notebooks into live trading strategies. Documentation & Knowledge Sharing Draft technical memos, run code-reviews, and mentor junior analysts on best practices in robust ML for finance. Must-Have Qualifications 3 – 6 years building and shipping ML models in production (preferably finance, ad-tech, or other latency-sensitive domains). Expert-level Python plus strong grasp of TensorFlow or PyTorch ; comfortable profiling GPU memory and optimizing kernels. Proven experience with model deployment (Docker, Kubernetes, CI/CD, feature stores, model registries). Solid understanding of statistics, probability, and time-series analysis; able to articulate bias-variance trade-offs and back-test pitfalls. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; a Master’s degree is preferred. Hands-on with SQL and at least one distributed data tool (Spark, Dask, or Ray). Clear, concise communicator—capable of translating technical findings into investor-friendly language. Nice-to-Have Extras Familiarity with trading venues, order-book dynamics, and transaction-cost analysis. Contributions to open-source ML libraries or finance-related GitHub projects. Experience with Optuna, genetic algorithms, or Bayesian optimization frameworks. Knowledge of Von Neumann entropy, quantum-inspired computing, or information-theoretic model selection. Comfort working in a start-up-style, high-ownership culture (you build it, you run it) What We Offer Work with best brains in Data Science and cutting edge modelling to solve complex finance problems Competitive salary + performance bonus tied to desk P&L. ESOP after probation. Comprehensive health insurance (self & family). Annual professional-development budget (courses, conferences, journals). 18 days paid vacation + flexible wellness leave.  How to Apply 1.Email Smriti5991@gmail.com with subject line “Data Scientist — Your Name”. 2.Attach your CV (≤ 2 pages) and link to a GitHub repo or notebook showcasing a project you took all the way to deployment . 3.Short-listed candidates complete a programming test (feature engineering, model training, deployment script) followed by two technical interviews and a culture chat with the founders. We hire for curiosity, rigor, and ownership. If you’re excited by the idea of shipping ML that lives (and profits) in the wild, we’d love to meet you.

AI/ML Engineer / Data Scientist Company: Triumph Edge Innovations Pvt. Ltd. Location: Ernakulam , Kerala, India Job Type: Full-time, Part time About Triumph Edge: Triumph Edge is a leading Indian technology firm dedicated to providing cutting-edge AI-Powered Image Analysis (AI-PIA) solutions for India's defense sector. In alignment with the "Atmanirbhar Bharat" and "Make in India" initiatives, we are committed to building indigenously developed, state-of-the-art AI systems for Intelligence, Surveillance, and Reconnaissance (ISR). Our mission is to empower our armed forces with efficient, secure, and actionable intelligence, contributing directly to national security. Job Summary: As an AI/ML Engineer / Data Scientist at Triumph Edge, you will be an integral part of our R&D team, responsible for designing, developing, and deploying advanced AI-powered image analysis systems for defence applications. You will have a direct impact on building and optimizing models that can analyse large-scale visual datasets, detect threats, and enhance situational awareness. We are seeking individuals passionate about national security and capable of solving complex challenges using cutting-edge AI technologies. Key Responsibilities and Duties: AI/ML Model Development: Design, train, and evaluate state-of-the-art Deep Learning and Computer Vision models for critical defence requirements (e.g., object detection, classification, tracking, change detection, anomaly detection, facial recognition). Work extensively with various neural network architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models. Continuously improve model performance, accuracy, and efficiency across diverse operational environments (e.g., varying lighting, weather conditions, terrain types). Explore and integrate Generative AI (GenAI) models where applicable for tasks like synthetic data generation or image enhancement. Data Engineering & Preprocessing: Collect, clean, label, and preprocess large-scale image and video datasets (including satellite imagery, drone footage, and ground sensor data). Develop and maintain robust data pipelines for efficient data ingestion, transformation, and preparation for AI model training and evaluation. Ensure the quality, integrity, and security of sensitive defense-related data. Algorithm Optimisation & Deployment: Optimize AI models for efficient deployment on resource-constrained edge devices (e.g., drones, ground sensors) and high-performance computing (HPC) environments for real-time inference. Implement techniques such as model compression, quantization, and inference optimization to enhance performance on target hardware. Monitor and maintain the performance of deployed AI models in production environments. Research and Innovation: Stay abreast of the latest research trends and advancements in Machine Learning, Deep Learning, and Computer Vision, particularly those relevant to the defense domain. Conduct experimental research and develop innovative solutions to address complex, real-world challenges in defense intelligence. Contribute to intellectual property generation, including patents and research publications. Team Collaboration: Collaborate effectively with cross-functional teams, including Software Engineers, Data Engineers, DevOps Engineers, and Defence Domain Experts, to integrate AI solutions into larger systems. Clearly communicate complex technical concepts, findings, and recommendations to both technical and non-technical stakeholders. Participate in code reviews, knowledge sharing sessions, and contribute to a collaborative R&D culture. Security & Compliance: Adhere to stringent cybersecurity protocols and secure coding practices for all AI model development and deployment. Ensure compliance with relevant Indian defense regulations and data security standards. Required Qualifications & Skills: Education: Master's degree (M.Tech/MS) or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field. Experience: [Specify preferred years of experience, e.g., 2+ years for Mid-level, 5+ years for Senior-level] of hands-on experience in AI/ML model development, specifically in Computer Vision. Proven experience in building and deploying Deep Learning models for real-world applications. Technical Proficiency: Programming Languages: Expert-level proficiency in Python, with extensive experience using scientific computing libraries (NumPy, Pandas, Scikit-learn). Proficiency in C++ is a significant advantage for high-performance applications. Deep Learning Frameworks: Strong hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch). Computer Vision Libraries/Techniques: In-depth knowledge and practical experience with OpenCV, and familiarity with various computer vision algorithms (e.g., object detection models like YOLO, Faster R-CNN; segmentation, tracking algorithms). Data Management: Experience with data cleaning, feature engineering, and working with large datasets. Familiarity with SQL and/or NoSQL databases is a plus. Cloud Platforms: Experience with cloud computing platforms (AWS, Azure, or GCP) for AI model training and deployment is desirable. Problem-Solving: Excellent analytical and problem-solving skills, with a strong ability to translate complex defence requirements into effective AI solutions. Learning Agility: Eagerness to learn new technologies, adapt to evolving research trends, and continuously improve technical skills. Communication: Strong verbal and written communication skills, capable of articulating technical concepts clearly. Preferred Qualifications (Bonus Points): Prior experience working on projects related to the defense sector, aerospace, or intelligence agencies. Familiarity with specific Indian defence regulations or standards. Experience with MLOps practices for deploying and managing AI models in production. Knowledge of explainable AI (XAI) techniques. Publications in top-tier AI/ML/Computer Vision conferences or journals. Experience with GPU optimisation (CUDA programming). Why Join Triumph Edge? Impactful Work: Contribute directly to strengthening India's national security and the "Atmanirbhar Bharat" initiative. Cutting-Edge Technology: Work on highly advanced AI and Deep Learning problems with real-world applications in defence. Innovation Culture: Be part of a dynamic R&D team that fosters creativity, continuous learning, and groundbreaking research. Growth Opportunities: Grow your career in a rapidly expanding sector with significant opportunities for professional development. Collaborative Environment: Work alongside brilliant minds, including experienced AI researchers, engineers, and defence domain experts. To Apply: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and interest in this role. Job Types: Part-time, Permanent, Internship, Contractual / Temporary, Freelance Contract length: 36 months Pay: ₹266,866.36 - ₹1,794,918.81 per year Expected hours: 30 per week Benefits: Cell phone reimbursement Work Location: In person

This job is with Invesco, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. As one of the world's leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day! Job Description Who we are With over $1.8 trillion of assets under management, Invesco is one of the world's leading global investment management firms, headquartered in Atlanta, GA. Spreading across 26 countries and with over 8600 dedicated employees, we are driven by trust and care. As one of the world's leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. If you're looking for challenging work, thoughtful colleagues, and a global employer with social values, explore your potential at Invesco. Your Team The Strategic Analytics team at Invesco Real Estate is recognized for providing forward-looking views on the markets. Our strategy process is integrated into the investment decision making process and supports all parts of the business. Our deep market knowledge is showcased in our chartbooks, which analyses demographic, economic and real estate market data, to produce market rental growth, yield and total return forecasts. Your Role To work with other members of the business on the characterization and analysis of global economies and the forecasting of real estate markets, and support presentations to internal and external clients. Support and collaborate with Invesco Real Estate's strategic analytics Team. Assist in developing Invesco Real Estate's forecasting systems, models, and House Views. Develop specialist knowledge on various economies, markets, and sectors, in agreement with regional heads. Gain knowledge of external data providers to maintain the quality and accuracy of the real estate database, and build a network of local market experts. Undertake special projects such as gathering information for new investment possibilities, creating market reports, investigating capital flows, transactions, and market pricing. Use statistical analysis methods to identify relationships related to real estate performance, including classification, time series analysis, regression, statistical inference, and validation methods. Utilize spatial GIS analysis techniques to support the evaluation of real estate markets and asset management decisions. The Experience You Bring Should have 3 to 5 years of work experience within a real estate environment or any Investment management industry, ideally within real estate fund management, is required. Expert knowledge of Python and related frameworks, with data manipulation experience. Expertise in data manipulation techniques to handle and process large datasets effectively and Advanced Excel skills for data analysis. Proficiency in Spatial GIS analysis and tools. Proficiency in web scraping techniques is a valuable asset for this role. Ability to prioritize and collaborate on multiple projects and work independently when required. Experience in market research is essential. A proven numerate background and strong computer skills (especially the Microsoft Office suite), knowledge of applied statistics and econometric modelling techniques would be a benefit. R / Python programming skill with machine learning, Familiarity with GIS systems, spatial analytics would a considerable advantage. Experience in Data Manipulation and ETL handling using Power query, Pandas, tidyverse and Alterx. Expertise in data manipulation techniques to handle and process large datasets effectively with Advanced Excel skills in using Pivot tables, charting, solver/What-IF Analysis for data and statistical analysis. Experience in Data analysis and visualization tools like Power BI/Tableau/R Shiny is an added advantage. Ability to review peer's work and provide feedback Identifying and implementing automation opportunities. Excellent communication skills. Fluency in written and verbal English Skills / Other Personal Attributes Required: Team player Good communication skills Open minded, flexible, and willing to listen for other people's opinions. Interpersonal skills necessary to effectively communicate over the phone with a variety of individuals at all technical levels are required. Academic Requirements Educated to degree level, or equivalent qualification, in Real Estate, Geography, Economics, Maths (or a similar numerate subject), Data science or job holder is able to demonstrate equivalent academic caliber MBA in Real Estate from a reputed University is preferred. Why Invesco In Invesco, we do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other's identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We support and inspire each other to ensure our significant growth, both personally and professionally. We trust in diverse, inclusive, and accommodative workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we support connection and community through our many employee-led Business Resource Groups (BRGs). What's in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our Benefit Policy Includes But Not Limited To: Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day Competitive Compensation Flexible, Hybrid Work 30 days' Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers: https://careers.invesco.com/india/ Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) No Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other's identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs). What's in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our Benefit Policy Includes But Not Limited To: Competitive Compensation Flexible, Hybrid Work 30 days' Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers : https://careers.invesco.com/india/

Job Summary We are looking for an experienced AI & Generative AI Developer who can work across the AI spectrum—from classical machine learning models to cutting-edge Generative AI applications. The role demands strong experience in building ML models using regression, classification, and tree-based algorithms, along with hands-on exposure to LLMs and generative frameworks like GPT, Stable Diffusion, and LangChain. Key Responsibilities 🔹 Classical AI/ML Design and implement supervised and unsupervised ML models including: Linear Regression, Logistic Regression Decision Trees, Random Forest, XGBoost Naive Bayes, K-Means, SVM, PCA, etc. Preprocess and analyse structured/tabular datasets Evaluate models using metrics like accuracy, precision, recall, ROC-AUC, and RMSE Build predictive models, deploy them into production, and monitor performance Collaborate with business teams to translate requirements into ML use cases 🔹 Generative AI (GenAI) Build and fine-tune LLMs (e.g., GPT, LLaMA, PaLM) for summarisation, Q&A, document generation, etc. Implement prompt engineering, RAG pipelines, and vector database integrations Use libraries like Hugging Face Transformers, LangChain, and LlamaIndex Develop APIs to expose GenAI models in real-time apps Optimise model inference using quantisation, batching, etc. Ensure safe, explainable, and bias-free output in alignment with AI ethics guidelines Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field Strong programming skills in Python, with experience in NumPy, Pandas, Scikit-learn Proficiency in classical ML algorithms (regression, trees, naive Bayes, etc.) Experience with LLM frameworks like OpenAI API, Hugging Face, and LangChain Understanding of transformer architecture, NLP, embeddings, and tokenisation Familiarity with REST API development using FastAPI/Flask Exposure to cloud platforms (AWS/GCP/Azure) and Docker/Kubernetes Preferred / Nice To Have Experience with deep learning (TensorFlow, PyTorch) Exposure to image/audio/video generation using models like DALL·E, Stable Diffusion, Whisper Familiarity with RAG, LLMOps, and vector stores (FAISS, Pinecone, Weaviate) Knowledge of MLOps pipelines, model monitoring, and CI/CD for ML

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role Overview We are seeking a Senior Associate – AI Engineer / MLOps / LLMOps with a passion for building resilient, cloud-native AI systems. In this role, you’ll collaborate with data scientists, researchers, and product teams to build infrastructure, automate pipelines, and deploy models that power intelligent applications at scale. If you enjoy solving real-world engineering challenges at the convergence of AI and software systems, this role is for you. Key Responsibilities Architect and implement AI/ML/GenAI pipelines, automating end-to-end workflows from data ingestion to model deployment and monitoring. Develop scalable, production-grade APIs and services using FastAPI, Flask, or similar frameworks for AI/LLM model inference. Design and maintain containerized AI applications using Docker and Kubernetes. Operationalize Large Language Models (LLMs) and other GenAI models via cloud-native deployment (e.g., Azure ML, AWS Sagemaker, GCP Vertex AI). Manage and monitor model performance post-deployment, applying concepts of MLOps and LLMOps including model versioning, A/B testing, and drift detection. Build and maintain CI/CD pipelines for rapid and secure deployment of AI solutions using tools such as GitHub Actions, Azure DevOps, GitLab CI. Implement security, governance, and compliance standards in AI pipelines. Optimize model serving infrastructure for speed, scalability, and cost-efficiency. Collaborate with AI researchers to translate prototypes into robust production-ready solutions. Required Skills & Experience 4 to 9 years of hands-on experience in AI/ML engineering, MLOps, or DevOps for data science products. Bachelor's degree in Computer Science, Engineering, or related technical field (BE/BTech/MCA). Strong software engineering foundation with hands-on experience in Python, Shell scripting, and familiarity with ML libraries (scikit-learn, transformers, etc.). Experience deploying and maintaining LLM-based applications, including prompt orchestration, fine-tuned models, and agentic workflows. Deep understanding of containerization and orchestration (Docker, Kubernetes, Helm). Experience with CI/CD pipelines, infrastructure-as-code tools (Terraform, CloudFormation), and automated deployment practices. Proficiency in cloud platforms: Azure (preferred), AWS, or GCP – including AI/ML services (e.g., Azure ML, AWS Sagemaker, GCP Vertex AI). Experience managing and monitoring ML lifecycle (training, validation, deployment, feedback loops). Solid understanding of APIs, microservices, and event-driven architecture. Experience with model monitoring/orchestration tools (e.g, Kubeflow, MLflow). Exposure to LLMOps-specific orchestration tools such as LangChain, LangGraph, Haystack, or PromptLayer. Experience with serverless deployments (AWS Lambda, Azure Functions) and GPU-enabled compute instances. Knowledge of data pipelines using tools like Apache Airflow, Prefect, or Azure Data Factory. Exposure to logging and observability tools like ELK stack, Azure Monitor, or Datadog. Good to Have Experience implementing multi-model architecture, serving GenAI models alongside traditional ML models. Knowledge of data versioning tools like DVC, Delta Lake, or LakeFS. Familiarity with distributed systems and optimizing inference pipelines for throughput and latency. Experience with infrastructure cost monitoring and optimization strategies for large-scale AI workloads. It would be great if the candidate has exposure to full-stack ML/DL. Soft Skills & Team Expectations Strong communication and documentation skills; ability to clearly articulate technical concepts to both technical and non-technical audiences. Demonstrated ability to work independently as well as collaboratively in a fast-paced environment. A builder's mindset with a strong desire to innovate, automate, and scale. Comfortable in an agile, iterative development environment. Willingness to mentor junior engineers and contribute to team knowledge growth. Proactive in identifying tech stack improvements, security enhancements, and performance bottlenecks.

Description The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive engineers to play a pivotal role in the development/maintenance of industry-leading multi-modal and multi-lingual large language models (LLM). AGI team's mission is to leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world. We believe in “Work Hard. Have Fun. Make History” value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. You will be required to deeply understand technology landscapes, and evaluate the use of new technologies. You will be influential within your team and work with peers and senior leaders to define and revise the standards for operational excellence across systems. You will consistently tackle abstract issues that span multiple functional areas and drive your team to push for improvements that can scale across other teams, services, and platforms. Key job responsibilities Provide support for cluster and node management, ensuring smooth operation of LLM infrastructure. Continuously improve and automate our cluster/capacity/maintenance upgrades. Develop automation tools for improving operational excellence. Work on operations and maintenance driven coding projects, primarily in Ruby, Rails, Java, Python, or shell scripts, AWS, web technologies projects. Should have hands-on experience in Kubernetes and expertise in different AWS services. Drive Company Wide Campaigns with Support and Engineering teams and drive it to closure. Participate in design and code reviews and identify bottlenecks. Troubleshoot and research root causes throughly and resolve defects. About The Team Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence. Basic Qualifications Experience in automating, deploying, and supporting infrastructure Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust Experience with Linux/Unix Preferred Qualifications Experience with CI/CD pipelines build processes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 15 SEZ Job ID: A3031801

As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day! Job Description Who we are With over $1.8 trillion of assets under management, Invesco is one of the world’s leading global investment management firms, headquartered in Atlanta, GA. Spreading across 26 countries and with over 8600 dedicated employees, we are driven by trust and care. As one of the world’s leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. If you're looking for challenging work, thoughtful colleagues, and a global employer with social values, explore your potential at Invesco. Your Team The Strategic Analytics team at Invesco Real Estate is recognized for providing forward-looking views on the markets. Our strategy process is integrated into the investment decision making process and supports all parts of the business. Our deep market knowledge is showcased in our chartbooks, which analyses demographic, economic and real estate market data, to produce market rental growth, yield and total return forecasts. Your Role To work with other members of the business on the characterization and analysis of global economies and the forecasting of real estate markets, and support presentations to internal and external clients. Support and collaborate with Invesco Real Estate’s strategic analytics Team. Assist in developing Invesco Real Estate’s forecasting systems, models, and House Views. Develop specialist knowledge on various economies, markets, and sectors, in agreement with regional heads. Gain knowledge of external data providers to maintain the quality and accuracy of the real estate database, and build a network of local market experts. Undertake special projects such as gathering information for new investment possibilities, creating market reports, investigating capital flows, transactions, and market pricing. Use statistical analysis methods to identify relationships related to real estate performance, including classification, time series analysis, regression, statistical inference, and validation methods. Utilize spatial GIS analysis techniques to support the evaluation of real estate markets and asset management decisions. The Experience You Bring Should have 3 to 5 years of work experience within a real estate environment or any Investment management industry, ideally within real estate fund management, is required. Expert knowledge of Python and related frameworks, with data manipulation experience. Expertise in data manipulation techniques to handle and process large datasets effectively and Advanced Excel skills for data analysis. Proficiency in Spatial GIS analysis and tools. Proficiency in web scraping techniques is a valuable asset for this role. Ability to prioritize and collaborate on multiple projects and work independently when required. Experience in market research is essential. A proven numerate background and strong computer skills (especially the Microsoft Office suite), knowledge of applied statistics and econometric modelling techniques would be a benefit. R / Python programming skill with machine learning, Familiarity with GIS systems, spatial analytics would a considerable advantage. Experience in Data Manipulation and ETL handling using Power query, Pandas, tidyverse and Alterx. Expertise in data manipulation techniques to handle and process large datasets effectively with Advanced Excel skills in using Pivot tables, charting, solver/What-IF Analysis for data and statistical analysis. Experience in Data analysis and visualization tools like Power BI/Tableau/R Shiny is an added advantage. Ability to review peer’s work and provide feedback Identifying and implementing automation opportunities. Excellent communication skills. Fluency in written and verbal English Skills / Other Personal Attributes Required: Team player Good communication skills Open minded, flexible, and willing to listen for other people’s opinions. Interpersonal skills necessary to effectively communicate over the phone with a variety of individuals at all technical levels are required. Academic Requirements Educated to degree level, or equivalent qualification, in Real Estate, Geography, Economics, Maths (or a similar numerate subject), Data science or job holder is able to demonstrate equivalent academic caliber MBA in Real Estate from a reputed University is preferred. Why Invesco In Invesco, we do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We support and inspire each other to ensure our significant growth, both personally and professionally. We trust in diverse, inclusive, and accommodative workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we support connection and community through our many employee-led Business Resource Groups (BRGs). What’s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day Competitive Compensation Flexible, Hybrid Work 30 days’ Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers: https://careers.invesco.com/india/ Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) No Workplace Model At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. Why Invesco In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally. We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs). What’s in it for you? As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world. Our benefit policy includes but not limited to: Competitive Compensation Flexible, Hybrid Work 30 days’ Annual Leave + Public Holidays Life Insurance Retirement Planning Group Personal Accident Insurance Medical Insurance for Employee and Family Annual Health Check-up 26 weeks Maternity Leave Paternal Leave Adoption Leave Near site Childcare Facility Employee Assistance Program Study Support Employee Stock Purchase Plan ESG Commitments and Goals Business Resource Groups Career Development Programs Mentoring Programs Invesco Cares Dress for your Day In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence. To Know More About Us About Invesco: https://www.invesco.com/corporate/en/home.html About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html Apply for the role @ Invesco Careers : https://careers.invesco.com/india/

Job Title: Data Scientist – Agentic AI | Cloud AI | AR/VR Location: Gurgaon- 5 days WFO Experience: 3 to 5 Years Employment Type: Full-time ⸻ About the Role We’re looking for a hands-on Data Scientist who’s excited by the next frontier of AI — from Agentic AI systems and multi-agent collaboration to cloud-based AI services and immersive experiences in AR/VR. This is your chance to work on cutting-edge innovation across verticals such as retail, healthcare, gaming, and enterprise tech. ⸻ Key Responsibilities • Build, deploy, and optimize AI/ML models with a focus on Agentic AI and multi-agent coordination frameworks (e.g., AutoGen, LangChain, etc.) • Leverage Google Cloud AI and Azure AI Services (Vision AI, Vertex AI, Azure ML) for scalable training, inference, and deployment • Apply Computer Vision techniques for object detection, image classification, and spatial tracking in AR/VR contexts • Collaborate cross-functionally with product, engineering, and design teams to bring AI-driven AR/VR applications to life • Utilize Multi-Cloud Pipelines (MCP) for managing end-to-end workflows in a hybrid cloud setup • Continuously experiment with emerging AI techniques in the realm of generative agents, prompt engineering, and memory-based systems ⸻ Must-Have Skills • 2–5 years of hands-on experience in AI/ML model development and deployment • Strong Python skills with experience in frameworks like TensorFlow, PyTorch, or OpenCV

We’re looking for a hands-on backend expert who can take our FastAPI-based platform to the next level: production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. WHAT YOU'LL BUILD 1. Core Backend Enhancements Build APIs Harden security (OAuth2/JWT, rate-limiting, SecretManager) and observability (structured logging, tracing) Add CI/CD, test automation, ,health checks and SLO dashboards 2. Awesome UI Interfaces React.js/Next.js, Redact/Context, Tailwind / MUI / Custom-CSS / Shadcn / Axios 3. LLM & Agentic Services Design micro/mini-services that host and route to OpenAI, Anthropic, local HF models, embeddings & RAG pipelines Implement autonomous/recursive agents that orchestrate multi-step chains (Tools, Memory, Planning) 4. Model-Inference Infrastructure Spin up GPU / CPU inference servers behind an API gateway Optimize throughput with batching, streaming, quantization & caching (Redis / pgvector) 5. NLP & Data Services Own the NLP stack: Transformers for classification, extraction, and embedding generation. Build data pipelines that join aggregated business metrics with model telemetry for analytics TECH STACK YOU'LL WORK WITH 1.Fullstack/Backend Infrastructure • Python, FastAPI, Starlette, Pydantic • Async SQLAlchemy, Postgres, Alembic, pgvector • Docker, Kubernetes, or ECS/Fargate - AWS (Or) GCP • Redis / RabbitMQ / Celery (jobs & caching) • Prometheus, Grafana, OpenTelemetry • If you are a full-stack person, then - react.js / next.js / shadcn / tailwind.css / MUI 2.AI / NLP • HuggingFace Transformers, LangChain / Llama-Index, Torch / TensorRT • OpenAI, Anthropic, Azure OpenAI, Cohere APIs • Vector search (Pinecone, Qdrant, PGVector) 3. Tooling • Pytest, GitHub Actions • Terraform / CDK preferred MUST HAVE EXPERIENCE • 3+ yrs building production Python REST APIs (FastAPI, Flask, or Django-REST) • SQL schema design & query optimization in Postgres (CTEs, JSONB) • Deep knowledge of async patterns & concurrency (asyncio, AnyIO, celery) • Crafted awesome UI Applications that integrate with the backend API • Hands-on with RAG, LLM/embedding workflows, prompt-engineering & at least one of “agent-ops” frameworks (LangGraph, CrewAI, AutoGen) • Cloud container orchestration (Any of K8s, ECS, GKE, AKS, etc.) • CI/CD pipelines and infra-as-code NICE-TO-HAVE EXPERIENCE • Streaming protocols (Server-Sent Events, WebSockets, gRPC) • NGINX Ingress / AWS API Gateway • RBAC / multi-tenant SaaS security hardening • Data privacy, PII redaction, secure key vault integrations • Bitemporal or event-sourced data models WHY DOES THIS ROLE MATTER? We’re growing fast. Products are live, but evolving. Challenges are real, and the opportunity to own systems end-to-end is massive. You’ll lead how we scale AI services, work directly with the founder, and shape what the next wave of our platform looks like. If you’re looking for meaningful ownership and a chance to work on hard, forward-looking problems, this role is for you.

Intelligent Image Management Inc (IIMI) is an IT Services company reimagines and digitizes data through document automation using modern, cloud-native app development. As one of the world's leading multinational IT services companies with offices in the USA and Singapore, India, Sri Lanka, Bangladesh, Nepal and Kenya. Over 7,000 people are employed by IIMI worldwide whose mission is to advance data process automation. US and European Fortune 500 companies are among our clients. Become part of a team that puts its people first. Founded in 1996, Intelligent Image Management Inc. has always believed in its people. We strive to foster an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Website: https://www.iimdirect.com/ About the Role: We are looking for a highly experienced and driven Senior Data Scientist to join our advanced AI and Data Science team. You will play a key role in building and deploying machine learning models—especially in the areas of computer vision, document image processing, and large language models (LLMs) . This role requires a combination of hands-on technical skills and the ability to design scalable ML solutions that solve real-world business problems. Key Responsibilities: Design and develop end-to-end machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment. Lead complex ML projects using deep learning, computer vision, and document analysis methods (e.g., object detection, image classification, segmentation, layout analysis). Build solutions for document image processing using tools like Google Cloud Vision, AWS Textract , and OCR libraries. Apply LLMs (Large Language Models), both open-source (e.g., LLaMA, Mistral, Falcon, GPT-NeoX) and closed-source (e.g., OpenAI GPT, Claude, Gemini), to automate text understanding, extraction, summarization, classification, and question-answering tasks. Integrate LLMs into applications for intelligent document processing, NER, semantic search, embeddings, and chat-based interfaces. Use Python (along with libraries such as OpenCV, PyTorch, TensorFlow, Hugging Face Transformers) and for building scalable, multi-threaded data processing pipelines. Implement and maintain ML Ops practices using tools such as MLflow, AWS SageMaker, GCP AI Platform , and containerized deployments. Collaborate with engineering and product teams to embed ML models into scalable production systems. Stay up to date with emerging research and best practices in machine learning, LLMs, and document AI. Required Qualifications: Bachelor’s or master’s degree in computer science, Mathematics, Statistics, Engineering, or a related field. Minimum 5 years of experience in machine learning, data science, or AI engineering roles. Strong background in deep learning, computer vision, and document image processing . Practical experience with LLMs (open and closed source), including fine-tuning, prompt engineering, and inference optimization. Solid grasp of MLOps , model versioning, and model lifecycle management. Expertise in Python , with strong knowledge of ML and CV libraries. Experience with Java and multi-threading is a plus. Familiarity with NLP tasks including Named Entity Recognition , classification, embeddings , and text summarization . Experience with cloud platforms (AWS/GCP) and their ML toolkits Preferred Skills: • Experience with retrieval-augmented generation (RAG), vector databases, and LLM evaluation tools. • Exposure to CI/CD for ML workflows and best practices in production ML. • Ability to mentor junior team members and lead cross-functional AI projects. Work Location: Work from Office Send cover letter, complete resume, and references to email: tech.jobs@iimdirect.com Industry: Outsourcing/Offshoring Employment Type Full-time