9815 Tensorflow Jobs - Page 29

SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members Primary Skill Set: Microservices LLM, Agentic AI Framework, Predictive modelling

We are looking for MLops Engineer@ Gurgaon Location Job Responsibilities: Design and implement CI/CD pipelines for machine learning workflows. Develop and maintain production-grade ML pipelines using tools like MLflow, Kubeflow, or Airflow. Automate model training, testing, deployment, and monitoring processes. Collaborate with Data Scientists to operationalize ML models, ensuring scalability and performance. Monitor deployed models for drift, degradation, and bias, and trigger retraining as needed. Maintain and improve infrastructure for model versioning, artifact tracking, and reproducibility. Integrate ML solutions with microservices/APIs using FastAPI or Flask. Work on containerized environments using Docker and Kubernetes. Implement logging, monitoring, and alerting for ML systems (e.g., Prometheus, Grafana). Champion best practices in code quality, testing, and documentation. Required Skills: 7+ years of experience in Python development and ML/AI-related engineering roles. Strong experience in ML Ops tools like MLflow, Kubeflow, Airflow, or similar. Deep understanding of Docker, Kubernetes, and container orchestration for ML workflows. Hands-on experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform/CDK). Familiarity with model deployment and serving frameworks (e.g., Seldon, TorchServe, TensorFlow Serving). Good understanding of DevOps practices and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). Experience with data versioning tools (e.g., DVC) and model lifecycle management. Exposure to monitoring tools for ML and infrastructure healt Experience:7-12 Yrs Job Location :Gurgaon Interested candidates can share your CV to mangani.paramanandhan@bounteous.com, i will call you shortly. Please share your CV.

Job Description Summary The MR ACAI team is looking to hire a candidate with an advanced degree with a specialization in Deep Learning and proven credentials to develop applications in a domain of their prior experience, GE HealthCare is a leading global medical technology and digital solutions innovator Our purpose is to create a world where healthcare has no limits Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world, Job Description Roles & Responsibilities Would you like to be part of a team that develops innovative applications for diagnostic MRI We are looking for enthusiastic Masters or PhD students who would like to do their internship in our department focused on MRI Advanced Concepts and Applications Innovations (ACAI), In this position, you will learn more about DL-based application development for medical imaging devices and contribute towards developing innovative technology that focus on image quality, speed and/or efficient workflow, You will get insights into different aspects of the application development process, including requirements engineering, design, implementation, testing and documentation, Our products include complex algorithms for image reconstruction, image processing and analysis which run on specialized compute as well as Linux systems, As part of your daily work, you will also support test environments for verification and validation activities execute manual tests, or create automated tests using scripting languages such as Python, analyze test results and collaborate with experts from various fields (including research, physics, biomedical sciences), The goal of the internship is to gain experience in application development and testing, You should expect to take over responsibility early on in the project(s), This includes requirement analysis, design, coding, testing and reporting progress/results to the supervisor, During the internship we will provide you with several opportunities to present your work Of course, you can also take advantage of these opportunities outside of the internship and give talks at universities or other events, Desired Qualifications Pursuing an advanced degree in computer science or electrical engineering with a strong focus in signal processing and mathematics with a working knowledge of C++, Python and/or Matlab programming languages, Demonstrable knowledge of use of Pytorch &/or TensorFlow A keen interest in medical imaging technologies Good communication skills Good English language skills (written and spoken) Inclusion and Diversity GE Healthcare is an Equal Opportunity Employer where inclusion matters Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law, We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership always with unyielding integrity, Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities Our salary and benefits are everything youd expect from an organization with global strength and scale, and youll be surrounded by career opportunities in a culture that fosters care, collaboration and support Additional Information Relocation Assistance Provided: Yes Show

Our Company Changing the world through digital experiences is what Adobes all about We give everyone?from emerging artists to global brands?everything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen, Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Applied Research Team will work at the fore front of applying cutting-edge technologies in practical and user-centric applications Their primary focus will be on implementing and optimizing generative AI solutions for a range of applications in graphics and design This includes the development of sophisticated image processing techniques and the enhancement of human-computer interaction interfaces using machine learning algorithms They will also be deeply involved in programming with languages like C++ and Python to develop robust, production-level software The team will utilize machine learning frameworks such as TensorFlow and PyTorch, not only for model development but also for converting and deploying these models efficiently in production environments Their work will be vital in transforming theoretical AI advancements into accessible, efficient, and impactful applications, constantly iterating and improving upon them to meet evolving user needs and industry standards, Adobe is proud to be an Equal Employment Opportunity employer We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law Learn more about our vision here, Adobe aims to make Adobe accessible to any and all users If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe or call (408) 536-3015, Show

Job Description Some careers shine brighter than others, If youre looking for a career that will help you stand out, join HSBC and fulfil your potential Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further, HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions, We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems, Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams, In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems, Preprocess and analyze large datasets to extract meaningful insights, Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc) for training and deploying ML models, Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems, Monitor and maintain deployed models to ensure performance and accuracy over time, Research and implement state-of-the-art machine learning techniques and tools, Document processes, experiments, and results for reproducibility and knowledge sharing, Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain e-g Perpetual credit montiroing Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 10 years of software development experience 5+ years of relevant experience in ML technologies mentioned below, Excellent problem-solving and communication skills, Strong experience in Python (3 x), Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes, Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets, Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy, Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures, Excellent interpersonal, presentation and analytical skills, Familiarity with MLOps practices for model deployment and monitoring, Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore Youll achieve more when you join HSBC, hsbc /careers HSBC is committed to building a culture where all employees are valued, respected and opinions count We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website, Issued by HSBC Software Development India Show

As our ML Engineer, you will spearhead the development of core machine learning capabilities focused on candidate screening, speech recognition, voice-to-text intelligence, matching, and scoring. You'll also contribute to NLP/LLM models that power the intelligence behind our end-to-end AI hiring platform. Responsibilities AI/NLP Product Development: Extend NLP and LLM models for candidate understanding, voice transcription enrichment, and sentiment/intent analysis. Performance Optimization: Ensure low latency, high accuracy, and scalable deployment of models in production. Cross-functional Collaboration: Partner with engineering, product, and design to embed intelligent voice experiences into our product. Requirements 2+ years of experience in ML/AI engineering. Strong programming skills in Python, with hands-on experience using TensorFlow, PyTorch, and Hugging Face. Solid understanding of both traditional ML and NLP for audio and language. Experience deploying models in real-world, production environments with cloud infrastructure (AWS/GCP/Azure). Comfort working with unstructured audio, large-scale datasets, and real-time or streaming architectures. Hands-on experience with cloud services (AWS, GCP, or Azure) for AI/ML deployment. Nice To Have Experience in speech or voice-related AI applications is a plus. Experience working with LLMs and transformer-based NLP architectures (e. g., BERT, GPT, Whisper). Familiarity with audio augmentation, noise reduction, and multilingual speech processing. Background in building AI products for interviews, hiring, or HR tech. This job was posted by Zenobia Diana Mccoy from Peoplebox.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Hyderabad office. - A 15 years full time education is required., 15 years full time education

Backend Development The core responsibilities for the job include the following: Design, develop, and maintain scalable backend systems and APIs using modern technologies and best practices. Work closely with front-end developers to integrate user-facing elements with server-side logic. Optimize performance, scalability, and reliability of the backend architecture. Develop and maintain RESTful services and microservices. Machine Learning Integration (if Applicable) Collaborate with data scientists to integrate machine learning models into backend systems. Work with large datasets, optimizing data processing pipelines for machine learning tasks. Implement algorithms and services for predictive models and AI-driven features. Database Management Work with SQL and NoSQL databases (e. g., MySQL, PostgreSQL, MongoDB) to design efficient database schemas and write complex queries. Ensure data integrity, consistency, and security within backend systems. Testing And Debugging Write unit and integration tests to ensure high-quality code and system reliability. Identify and fix performance bottlenecks or bugs, optimizing both backend code and database interactions. Collaboration Work in an agile environment, participating in sprint planning, stand-ups, and code reviews. Collaborate with cross-functional teams, including front-end developers, data scientists, and product managers, to define product features and system architecture. Requirements 1+ years of professional experience as a Backend Developer or similar role. Experience in web development, including building APIs and microservices. Exposure to machine learning concepts and integration into production systems is a plus. Technical Skills Proficient in at least one backend language (Python, Java, Node.js, etc. ). Familiarity with web frameworks (e. g., Django, Flask, Spring Boot, Express.js ). Knowledge of RESTful APIs, microservices architecture, and cloud computing platforms (AWS, Google Cloud, Azure). Experience with version control (Git). Database Experience with relational and non-relational databases. Proficiency in SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, etc. ) Machine Learning (Preferred) Understanding of machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc. ). Familiarity with cloud-based machine learning tools and platforms. Other Skills Good communication skills and the ability to work in a collaborative team environment. Eagerness to learn new technologies and tackle complex problems. This job was posted by Megha Agarwal from Refactor Academy.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in AI and machine learning. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services, particularly in deploying AI solutions. - Familiarity with data preprocessing and feature engineering techniques. - Ability to work with various AI tools and libraries to develop innovative solutions. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Mumbai office. - A 15 years full time education is required.

About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Responsibilities As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across diverse operational workflows. You will take ownership of the entire solution lifecycle, from problem scoping, model development, to deployment and performance monitoring, with a team of ML engineers. Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources. Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments. Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving. Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows. Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects. Qualifications At least 5+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime. Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc. Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies. Previous experience in leading ML teams, mentoring engineers, and managing project deliverables. Comfortable working in an agile, startup-like environment where problem-solving and ownership are key. Excellent communication skills to translate complex technical concepts into actionable project plans. Good to Have Experience with vision-based automation in the manufacturing industry Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.

We are looking for an enthusiastic Data Scientist to join our team based in Bangalore. You will be pivotal in developing, deploying, and optimizing recommendation models that significantly enhance user experience and engagement. Your work will directly influence how customers interact with products, driving personalization and conversion. Responsibilities Model Development: Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention. Data Analysis: Perform a comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights. Algorithm Optimization: Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies. Deployment and Monitoring: Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization. Requirements Education level: Bachelor's degree (B. E. / B. Tech) in Computer Science or equivalent from a reputed institute. Technical Expertise Strong foundation in Statistics, Probability, and core Machine Learning concepts. Hands-on experience developing recommendation algorithms, including collaborative filtering, content-based filtering, matrix factorization, or deep learning approaches. Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-Learn, PySpark). Experience with TensorFlow or PyTorch frameworks and familiarity with recommendation system libraries (e. g., torch-rec). Solid understanding of Big Data technologies and tools (Hadoop, Spark, SQL). Familiarity with the full Data Science lifecycle from data collection and preprocessing to model deployment. This job was posted by Rituza Rani from Oneture Technologies.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting-edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Machine Learning Models and Azure OpenAI Services. Primary Responsibilities: Design and implement AI/ML models with a focus on GenAI, LLMs, ML models, RAG architectures Develop and fine-tune Bots (Chat/Voice) Integrate AI solutions into enterprise applications using Azure AI and App Services Collaborate with cross-functional teams to define use cases and deliver AI-powered features Develop and maintain Solid relationships with stakeholders, customers, and partners internally and externally Ensure responsible AI practices, including bias mitigation, explainability, and compliance Monitor model performance and retrain as needed to maintain accuracy and relevance Stay up to date with the latest AI and machine learning technologies and trends Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Contribute to internal AI/ML knowledge sharing and mentoring initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience 7+ years of overall experience with 5+ years of experience in AI/ML Healthcare Industry experience Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Knowledge of ethical AI principles and responsible AI deployment strategies Solid programming skills in Python and experience with ML frameworks (eg, PyTorch, TensorFlow) Proficiency in Azure OpenAI Services, Azure Machine Learning Familiarity with prompt engineering, semantic search, and vector databases Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good conflict management and prioritization skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone – of every race, gender, sexuality, age, location and income – deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission. #NIC External Candidate Application Internal Employee Application

Seeking a highly skilled and analytical Data Scientist / Machine Learning Engineer to join our team. The ideal candidate will have a strong foundation in data science , machine learning , and statistical analysis , with hands-on experience in building scalable models and working with large datasets in cloud-based environments. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications using Python , scikit-learn , TensorFlow , or PyTorch . Perform data cleaning , wrangling , transformation , and exploratory data analysis (EDA) using pandas and other Python libraries. Apply statistical techniques such as hypothesis testing , regression analysis , ANOVA , and probability theory to derive insights. Implement supervised and unsupervised learning algorithms , conduct feature engineering , model evaluation , and hyperparameter tuning . Develop data visualizations using Matplotlib , Seaborn , or ggplot to communicate findings effectively. Work with big data technologies such as Apache Hadoop , Apache Spark , or distributed databases for large-scale data processing. Write optimized SQL queries and manage relational databases for data extraction and transformation. Contribute to data engineering pipelines , including data integration , warehousing , and architecture design . Utilize cloud platforms like Microsoft Azure , including Azure Machine Learning , for scalable model deployment. Collaborate using version control systems like Git for code management and team coordination. (Optional/Desirable) Experience with YOLO or other deep learning models for object detection. Qualifications: Bachelors or Masters degree in Computer Science , Data Science , Statistics , Engineering , or a related field. 48 years of experience in data science , machine learning , or AI development . Strong programming skills in Python and experience with data science libraries . Solid understanding of statistical methods , machine learning algorithms , and data modeling . Experience with cloud computing , big data tools , and database management . Preferred Skills: Experience with YOLO , OpenCV , or computer vision frameworks. Familiarity with CI/CD pipelines for ML model deployment. Knowledge of MLOps practices and tools. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Key Responsibilities: Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions. Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services. Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. Project Mentorship: Guide capstone worke.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. Requirements: 3+ years of industry or academic experience in DS/ML or AI. Minimum Masters degree in DS or ML &AI or CS specialization in AI & DS/ML Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). Excellent presentation and mentoring skills in live and small-group settings. Prior teaching or edtech experience is a strong plus.

Role Description: As an AI Engineer at Knowdis.ai, you will be an integral part of our AI development team, working on challenging projects that leverage the latest advancements in Natural Language Processing (NLP) and Reinforcement Learning. You will be responsible for designing, implementing, and optimizing AI models that drive our core products, focusing on product recommendation systems, marketplaces, and translation systems. This role offers the opportunity to work with a team of highly skilled professionals in a dynamic and collaborative environment. Key Responsibilities: Develop and implement state-of-the-art AI models for product recommendation systems, marketplaces, and translation systems. Design and optimize algorithms for Natural Language Processing (NLP) and Reinforcement Learning. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct research to stay up-to-date with the latest advancements in AI and integrate relevant findings into ongoing projects. Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy of AI models. Deploy and maintain AI models in production environments, ensuring scalability and reliability. Participate in code reviews, provide constructive feedback, and ensure best practices in AI development are followed. Document technical designs, experiments, and results for internal and external stakeholders. Qualifications and Experience: Bachelor's degree in Computer Science or a related field from a Tier-1 Institute. 2-5 years of hands-on experience in AI/ML development, with a focus on NLP or Reinforcement Learning. Strong proficiency in programming languages such as Python, and experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Proven experience in developing and deploying AI models in real-world applications, particularly in product recommendation systems, marketplaces, or translation systems. Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with data pre-processing, feature extraction, and model evaluation techniques. Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders. Strong problem-solving skills, attention to detail, and a passion for innovation in AI technology Preferred Qualifications: Master's degree in Computer Science or a related field. Experience with cloud platforms (e.g., AWS, GCP, Azure) and scalable AI/ML infrastructure. Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya . Only applications received through this posting will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment and Screening interview administered by Jigya Candidates selected after the Jigya screening rounds will be interviewed by KnowDis

As a Senior Model Steward , you will collaborate with the Data and Model Governance team, inside Data and Analytics, to champion Governance and Ethics with model developers and owners.You will play a key role in shaping and translating our Model Governance and Ethics framework into effective controls and scalable implementation practices for the portfolio of AI/ML models you are assigned to . About the Role: Your responsibilities will include: Model Lifecycle Management Oversee and document the end-to-end lifecycle of models, from development to deployment and decommission, ensuring compliance with external expectations and internal policies and standards. You will track compliance progress for your portfolio and report it to the Data and Model Governance team. Collaboration Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to integrate model governance controls into the model development and deployment processes. Risk Assessment Evaluate risks associated with AI use cases, considering factors such as reliability, use of third-party models, performance degradation, bias, fairness, and interpretability. Develop and implement strategies to mitigate identified risks. Documentation and Registration Create and maintain comprehensive documentation for AI use cases, including preprocessing steps, training techniques and model architecture. Promote transparency in model development and decision-making processes, ensuring high data quality of all governance-related artifacts. Monitoring and Performance Evaluation Establish monitoring protocols to track the performance of deployed models in real-world scenarios. Configure (semi-)automated systems to detect drifts, and other performance issues. Education and Training Prepare trainings and upskilling opportunities on best practices for model governance. Stay current on industry trends and advancements in model governance and ethics, and share knowledge within the organization via the Data and Model Stewardship Network. About You: Youre a fit for the role of Senior Model Steward if you meet all or most of these criteria: EducationBSc/ MSc or equivalent experience in a relevant technical field (e.g., Data Science, Statistics, Computer Science, etc.). Strong programming skills (Python, R, etc.), experience with data science libraries (TensorFlow, PyTorch, scikit-learn) and cloud technologies (AWS, Azure, GCP). Excellent communication and stakeholder management skills. 6+yrs Experience and proven track-record applying collaborative problem-solving, negotiation, and change management skills. Proven experience in model governance, risk management with expertise in one of the following specializations:- Research SpecialistProven experience in researching and implementing model governance strategies, especially for Large Language Models (LLMs).- EngineerBackground in DevOps engineering, with a focus on AI model deployment.- Analyst / Data EngineerExpertise in data engineering, analytics, and data processing, with a focus on ensuring high-quality input data for models. #LI-KP2 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services. Key Responsibilities: Design, develop, and deploy scalable AI/ML models for production environments. Lead end-to-end AI project lifecycles from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams including data scientists, software engineers, and product managers. Optimize model performance and ensure robustness, fairness, and explainability. Stay current with the latest research and advancements in AI and machine learning. Mentor junior engineers and contribute to building a strong AI engineering culture. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with cloud platforms (AWS, Azure) and MLOps tools. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, RAG, or agentic AI (Crew AI) systems. Familiarity with vector databases, prompt engineering, and AI safety practices. Contributions to open-source AI projects or published research papers. Experience with real-time inference systems and edge AI.

Location: Remote Employment Type: Full-time About the Role We are looking for a Senior Machine Learning Engineer to lead the development and deployment of AI/ML models for our platforms. In this role, you will drive technical strategy and you will be responsible for designing and deploying intelligent systems ,mentor junior engineers, and collaborate with cross-functional teams to deliver scalable, production-grade ML solutions. Key Responsibilities Independently design, build, and deploy machine learning models for core use cases. Drive the end-to-end lifecycle of ML projects—from scoping and architecture to implementation, deployment, and performance tuning. Maintain a hands-on approach in all aspects of development—from data preprocessing and feature engineering to model training, evaluation, and optimization. Lead technical reviews, provide constructive feedback, and help grow the team’s skill sets through coaching and knowledge sharing. Provide technical leadership and mentorship to junior engineers and data scientists, fostering a collaborative and high-performing team culture. Drive ML initiatives from ideation through production, ensuring scalability, performance, and maintainability. Collaborate with cross-functional teams including product, engineering, and operations to integrate intelligent solutions into user-facing products. Establish and promote ML best practices, including reproducibility, version control, testing,MLOps, and data governance. Oversee and guide the creation of scalable and maintainable ML pipelines and infrastructures. Stay ahead of industry trends and guide the adoption of new tools and techniques where relevant. Evaluate and integrate cutting-edge tools, frameworks, and techniques in NLP, deep learning, and computer vision. Own the quality, fairness, and compliance of ML systems, especially in sensitive use cases like content filtering and moderation. Design and implement machine learning models for automated content moderation , including toxicity, hate speech, spam, and NSFW detection. Build and optimize personalized recommendation systems using collaborative filtering, content-based, and hybrid approaches. Develop and maintain embedding-based similarity search for recommending relevant content based on user behavior and content metadata. Fine-tune and apply LLMs for moderation and summarization , leveraging prompt engineering or adapter-based methods. Deploy real-time inference pipelines for immediate content filtering and user-personalized suggestions. Ensure content moderation models are explainable , auditable , and bias-mitigated to align with ethical AI practices. Hands-on experience in content recommendation systems (e.g., collaborative filtering, ranking models, embeddings). Experience with content moderation frameworks , such as Perspective API, OpenAI moderation endpoints, or custom NLP classifiers. Strong knowledge of transformer-based models for NLP , including experience with Hugging Face, BERT, RoBERTa, etc. Practical experience with LLMs (GPT, Claude, Mistral) and tools for LLM fine-tuning or prompt engineering for moderation tasks. Familiarity with vector databases (e.g., FAISS, Pinecone) for similarity search in recommendation systems. Deep understanding of model fairness, debiasing techniques , and AI safety in content moderation . Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 5+ years of hands-on experience in machine learning, NLP, or deep learning, with a track record of leading projects. Expertise in Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc. Strong background in recommendation systems, content moderation, or ranking algorithms. Experience with cloud platforms (AWS/GCP/Azure), distributed computing (Spark), and MLOps tools. Proven ability to lead complex ML projects and teams, delivering business value through intelligent systems. Excellent communication skills, with the ability to explain complex ML concepts to stakeholders. Experience with LLMs (GPT, Claude, Mistral) and fine-tuning for domain-specific tasks. Knowledge of reinforcement learning, graph ML, or multimodal systems. Previous experience building AI systems for content moderation, personalization, or recommendation in a high-scale platform. Strong awareness of ethical AI principles, fairness, bias mitigation, and responsible data usage. Contributions to open-source ML projects or published research.

Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages. Our award-winning websites, cutting-edge marketing solutions, and AI-powered mobile platform empower real estate professionals to grow their business, operate more efficiently, and deliver exceptional service to their clients. Trusted by over 80,000 real estate professionals, including 31 of the nation’s 100 top-performing agents as published in the Wall Street Journal, Luxury Presence continues to set the standard for innovation and excellence in real estate technology. About The Role We’re seeking a Senior ML-focused Data Platform Engineer to strengthen our MLS data platform team. You will build robust data pipelines and deliver advanced ML solutions—embeddings, fine-tuning, retrieval-augmented generation (RAG), and reinforcement learning from user feedback. Your work powers property discovery, personalized recommendations, conversational agents, and the evaluation infrastructure that keeps them improving. Who is the Data Squad? We make sure clean, reliable MLS listing records and user click-stream data is always available to our products and customers. Our team—a mix of data engineers and software engineers—owns the entire listing pipeline: ingestion, transformation, and normalization across 400+ MLS feeds and other sources. We also extend the platform to capture user-activity data for new features and build AI agents that automate feed onboarding and listing-issue triage, reducing manual effort for internal teams and clients and shortening the path from data to business impact. Strategic Projects (Year 1) Architect our foundational home-ranking and recommendation platforms to incorporate advanced deep-learning and transformer-based models, dramatically accelerating experimentation across every user touchpoint Autonomous MLS AI agents: Launch AI agents that reduce time to onboard new MLS listing feeds and triage / resolve listing issues using structured and unstructured data What You’ll Do Architect and operate scalable batch & streaming data systems (Spark/EMR, Kafka, SQL) Own data quality, performance, and reliability through automated testing and monitoring Design transactional and analytical data models and feature stores Fine-tune embeddings and ML models; deploy RAG‐ and RL-based ranking pipelines Integrate and optimize LLMs for conversational agents Evolve the evaluation stack (A/B, offline metrics, model monitoring) to track impact end-to-end Collaborate with product, engineering, and business stakeholders; mentor peers; shape the long-term ML data-platform strategy Our Tech Stack Python, Spark Streaming, Kafka, Iceberg, Fast API & NodeJS microservices AWS, EMR, Kubernetes, Airflow Postgres, DynamoDB, Athena, ElasticSearch, LanceDB Qualifications (Required) BS/MS in Computer Science or related field, or equivalent experience 5+ years building large-scale data pipelines on AWS or GCP with Spark/EMR, Kafka, and SQL Strong with a backend programming language like Python or Java; production experience with TensorFlow or PyTorch Delivered ML-powered features in recommendations, search/ranking, or conversational AI Hands-on with embeddings, RAG, and reinforcement learning from feedback Familiar with vector databases, LLM deployment, Kubernetes/EKS, and modern CI/CD Excellent communicator who drives results across product, engineering, and business teams Preferred Proven wins building large-scale ranking or personalization platforms. Experience with integrating Large Language Models in production systems Experience leading projects and mentoring engineers Proven success working in Agile environments Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We’re a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We’re backed by world-class investors, including Bessemer Venture Partners, Toba Capital, and Switch Ventures, and have raised $52.6 million to date. More than 15,000 real estate businesses rely on our platform, including 31 of the RealTrends top 100 agents featured in The Wall Street Journal. Additionally, many of the industry’s most powerful brokerages — including Compass, Coldwell Banker, and Sotheby’s International Realty — rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn’s Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we’ve received several Tech100 Awards, and our lead nurturing tool just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Working Hours - 3pm IST to 11pm IST

Your Role Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Solid understanding of python Deep learning frameworks such as TensorFlow, PyTorch, or JAX Natural language processing (NLP) and machine learning (ML) Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Your Profile Experience in Generative AI development with Google Cloud Platform Experience in delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions with ML What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications About Capgemini Location - Hyderabad,Pune,Bengaluru,Chennai,Mumbai

Your Role Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Your Profile Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . About Capgemini Location - Pune,Bengaluru,Chennai,Hyderabad

Your Role Drive the strategic vision for AI/ML initiatives and align them with the companys broader AI roadmap. Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions. Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders. Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications. Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends. Your Profile Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment. Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop. Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure). Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery. Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies. What You Will Love Working at Capgemini Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure). Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices. Clear career progression paths from engineering roles to architecture and consulting. Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients.

Introduction A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience. Your Role And Responsibilities We are seeking for a passionate and skilled Python AI Engineer to design, develop and maintain hybrid AI Platform across multi-cloud and on-premises. Build an AI platform that enables real time machine learning and GenAI at scale along with governance and security frameworks. You will collaborate with data engineer, product managers, and software engineers to bring AI-driven products and features to life. Job Description Work with frameworks like TensorFlow/PyTorch, Scikit-learn, or similar. Design and implement AI/ML models and algorithms using Python3. Develop and maintain scalable, production-grade machine learning pipelines. Conduct data exploration, preprocessing, feature engineering, and model evaluation. Optimize models for performance and scalability in production environments. Collaborate with cross-functional teams to integrate AI components into real-world applications. Stay up to date with the latest research and industry trends in AI and machine learning. Document experiments, code, and processes for reproducibility and transparency. Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills in Python 3. Solid understanding of machine learning fundamentals (classification, regression, clustering, etc.). Experience with ML libraries and frameworks (e.g., Scikit-learn, TensorFlow/PyTorch, XGBoost, etc.). Experience in NLP related to Semantic models/Search using BERT/ transformer model. Experience with Gen AI ecosystem/tools is a plus. Experience in data wrangling using Pandas/Polaris, NumPy, SQL, etc. Good grasp of software engineering principles (version control, testing, modular code). Preferred Technical And Professional Experience Familiarity with REST APIs and deployment practices (Dockerized Container, Flask/FastAPI, etc.). Understanding of cloud platforms (AWS, GCP, Azure) is a plus. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment

About Flam : We are a fast-growing startup on a mission to revolutionize the MR (Mixed Reality) space through innovative AI. Our projects range from immersive mixed-reality applications to advanced generative AI solutions (e.g., GANs, diffusion models, transformers, large language models, and more). We value creativity, problem-solving, and out-of-the-box thinking above all else—your formal qualifications matter less to us than your ability to push the boundaries of AI technology. Why MR? Mixed Reality (MR): Merges the best of both Augmented Reality and Virtual Reality, integrating physical and virtual environments for real-time interaction. We leverage these technologies to create next-generation user experiences that transform how people interact with digital content. Our AI-driven approach ensures these immersive environments are intelligent, adaptive, and personalized. Role Overview : We are rapidly expanding our AI team and are hiring across multiple experience levels—from fresh graduates and self-taught enthusiasts to seasoned AI experts. As an AI Engineer/Researcher/Scientist, you will work on cutting-edge AI projects that blend creative design principles with emerging technologies like GANs, diffusion models, transformers, large language models, and MR applications. You’ll be given the freedom to experiment, innovate, and propose unconventional solutions. We’re looking for fast learners who can dig into research papers and GitHub repositories to test and refine multiple solutions rapidly—ultimately selecting and implementing the best one. If you thrive on minimal instruction, adapt quickly, and love solving complex problems, this role is for you. Key Responsibilities : Investigate, prototype, and implement state-of-the-art AI methods across a wide range of applications—generative models (GANs, diffusion models), transformers, large language models, reinforcement learning, and more. Explore and adapt novel approaches to AI-driven interactions and experiences in mixed reality environments. Build, train, and optimize deep learning models for various tasks, including computer vision, natural language processing, 3D content generation, and more. Quickly learn and implement cutting-edge techniques from research papers, GitHub repositories, and community-driven projects. Work closely with designers, product managers, and AR/VR/MR developers to integrate AI solutions seamlessly into mixed-reality applications. Participate in brainstorming sessions that bridge AI, design principles, and user experience. Stay updated on the latest AI research and emerging technologies, especially in generative AI, transformers, and spatial computing. Propose and lead experimental projects that push the boundaries of what is possible with AI in extended reality experiences. Identify project challenges independently and develop creative, robust solutions with minimal supervision. Continually evaluate technical trade-offs and refine solutions to meet product and design requirements. Qualifications : Passion for AI and a drive to explore cutting-edge research. Ability to rapidly learn new tools, frameworks, and concepts, often self-taught or independently researched. Creative and unconventional approaches to complex challenges. Proficiency in at least one programming language commonly used in AI (e.g., Python) and familiarity with AI frameworks (e.g., TensorFlow, PyTorch). Exposure to a variety of AI techniques, including but not limited to generative models, large language models, computer vision, reinforcement learning, or other specialized domains. Understanding of Design Principles: How they can be applied to AI solutions, ensuring that user experience remains front and center. Experience with AR/VR/MR (Unity, Unreal Engine, OpenCV, etc.) is a bonus, but not mandatory. Self-motivated with excellent communication skills and a collaborative mindset.

We are seeking a visionary Principal DevOps Engineer to lead the transformation of our DevOps strategydriving innovation, automation, and cloud excellence with a strong focus on AWS technologies. You will spearhead efforts to modernize CI/CD pipelines, enhance cloud security and observability, and lead a DevOps culture that accelerates business growth and technical excellence. Key Responsibilities Architect and evolve scalable, secure AWS infrastructure for performance and efficiency. Lead DevOps engineers to implement cloud-native, fully automated environments. Define and enforce IaC best practices using Terraform, CloudFormation, or CDK. Enable self-service deployments for development teams. Modernize CI/CD pipelines using Jenkins, GitHub Actions, AWS CodePipeline, etc. Champion serverless and event-driven architecture using AWS Lambda and Step Functions. Implement Kubernetes (EKS/ECS) and microservices infrastructure for agility and resilience. Enhance observability using CloudWatch, Prometheus, Grafana, and AI-based tools. Embed DevSecOps into CI/CD and cloud workflows, ensuring robust security posture. Lead disaster recovery, high availability, and business continuity planning. Optimize AWS spend using FinOps principles without compromising performance. Build and scale AI/ML pipelines using Spark, Kafka, TensorFlow, PyTorch, Kubeflow, MLflow, Airflow, and AWS SageMaker. Research and adopt emerging DevOps and cloud technologies to drive innovation. Required Qualifications 8+ years in DevOps, Cloud Infrastructure, or SRE with proven transformation leadership. 6+ years of AWS hands-on experience (EC2, S3, RDS, Lambda, VPC, IAM, etc.). Expertise in IaC with Terraform, CloudFormation, or CDK. Advanced scripting skills in Python, Bash, or Go. Mastery of Kubernetes (EKS or custom clusters), Docker, and microservices architecture. Extensive CI/CD experience with Jenkins, GitHub Actions, GitLab CI/CD, AWS tools. Deep knowledge of observability tools (CloudWatch, Prometheus, Grafana, ELK). Strong cloud security, IAM policies, and compliance understanding. Proven leadership in DevOps cultural and technological transformation. Hands-on AI/ML pipeline experience using Spark, Kafka, TensorFlow, Kubeflow, SageMaker, etc. Preferred Qualifications AWS Certified DevOps Engineer Professional or AWS Solutions Architect Professional. Experience building large-scale serverless systems. Strong FinOps and AWS cost management knowledge. Experience with SRE practices and site reliability principles. Familiarity with AI-driven automation and self-healing infrastructure approaches.