Open & Direct Walk-in Drive event | Hexaware technologies, Data Scientist AI/ML with GEN AI in Chennai, Tamilnadu on 10th May [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data Scientist AI/ML with GEN AI. We are hosting an Open Walk-in Drive in Chennai, Tamilnadu on 10th May [Saturday] 2025 , and we believe your skills in Data Scientist AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: Chennai, Tamilnadu on 10th May [Saturday] 2025 Experience: 9 years to 12 years Time: 9.30 AM to 4PM Point of Contact: Aishwarya G / AISHWARYAG5@hexaware.com Venue: HEXAWARE TECHNOLOGIES H-5, Sipcot It Park, Post, Navalur, Siruseri, Tamil Nadu 603103 Work Location: Open (Bangalore/ Pune/ Mumbai/ Dehradun/ Chennai/ Coimbatore) Key Skills and Experience: Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development. What to Bring: Updated resume Photo ID, Passport size photo Mention "Aishwarya G" at the top of your resume. How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AISHWARYAG5@hexaware.com We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

Profile : Machine Engineer Experience : 2 To 6 Years Requirement Python, pandas, NumPy, MySQL Data Visualization, Matplotlib, Seaborn, Data Cleaning Deep Learning : ANN, CNN, DNN, Back Propagation, TensorFlow 2.x, Keras Web scraping : various library Natural Language processing : Understanding, representation, classification & clustering NLTK,BOW, TFIDF, word2vec Machine Learning : Supervised, Unsupervised (All Algorithm), etc Location : Noida Sector 63 (Work From Office) Working Days : 5 Job Description The Machine Learning Lead will oversee the full lifecycle of machine learning projects, from concept to production deployment. The role requires strong technical expertise and leadership to guide teams in delivering impactful AI-driven solutions. Key Responsibilities Design and implement scalable ML models for various business applications. Manage end-to-end ML pipelines, including data preprocessing, model training, and deployment. Fine-tune foundation models and create small language models for deployment on AWS Inferentia and Trainium. Deploy ML models into production environments using platforms such as AWS. Lead the implementation of custom model development, ML pipelines, fine-tuning, and performance monitoring. Collaborate with cross-functional teams to identify and prioritize AI/ML use cases. Required Skills Expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong experience deploying ML models on cloud platforms, especially AWS. In-depth knowledge of SageMaker and SageMaker Pipelines. Familiarity with RAG-based architectures, agentic AI solutions, Inferentia, and Trainium. Advanced programming skills in Python with experience in APIs and microservices. Exceptional problem-solving abilities and a passion for innovation. (ref:hirist.tech)

Location: Mumbai - In-office Company: Arcitech.ai About Us Arcitech.ai is at the forefront of AI-integrated software and platform development. We build scalable, cloud-native applications for education, recruitment, marketplaces and more. Join us to work on cutting-edge projects and help shape the future of AI-driven products. Responsibilities Design, develop and maintain Python applications with a focus on clean, efficient, and well-tested codeBuild and consume RESTful or GraphQL APIs following best practicesContainerize microservices using Docker and collaborate on Kubernetes deploymentsImplement and monitor background tasks with Celery, including retry strategies and alertingIntegrate third-party services via webhooks (e.g., Stripe, Razorpay)Set up WebSocket consumers using Django Channels to power real-time featuresConfigure AWS infrastructure as code (EC2, S3, RDS), manage backups and monitoring through CloudWatchWrite unit and integration tests (pytest or unittest) to achieve and maintain ≥ 80% coverageFollow Git branching strategies and contribute to CI/CD pipeline definitionsParticipate in daily tech-talks, knowledge-sharing sessions, and code reviews Required Qualifications Bachelor's degree in Computer Science or a related field2-5 years of professional experience working primarily in PythonStrong proficiency with Python standard library and common packages (e.g., NumPy)Solid experience designing and consuming RESTful/GraphQL APIsHands-on experience with Docker and at least one cloud platform (AWS or Azure)Proven track record of writing tests with pytest or unittest frameworksFamiliarity with Git workflows and CI/CD best practicesExcellent problem-solving skills and clear communication Preferred (But Not Required) Experience with AI/ML frameworks such as TensorFlow, Keras or PyTorchPrior work with the Django web frameworkUnderstanding of machine learning concepts (neural networks, computer vision, reinforcement learning)Background in data analysis, statistics, or applied mathematicsExposure to Celery task queues and real-time application patternsContributions to open-source Python or AI projects What We Offer Competitive salary and benefits packageOpportunity to work on innovative AI and web-development initiativesA collaborative culture that values continuous learning and skill growth

Python DeveloperLocation: Navi Mumbai - In-officeCompany: Arcitech.ai About UsArcitech.ai is at the forefront of AI-integrated software and platform development. We build scalable, cloud-native applications for education, recruitment, marketplaces and more. Join us to work on cutting-edge projects and help shape the future of AI-driven products. ResponsibilitiesDesign, develop and maintain Python applications with a focus on clean, efficient, and well-tested code.Build and consume RESTful or GraphQL APIs following best practices.Containerize microservices using Docker and collaborate on Kubernetes deployments.Implement and monitor background tasks with Celery, including retry strategies and alerting.Integrate third-party services via webhooks (e.g., Stripe, Razorpay).Set up WebSocket consumers using Django Channels to power real-time features.Configure AWS infrastructure as code (EC2, S3, RDS), manage backups and monitoring through CloudWatch.Write unit and integration tests (pytest or unittest) to achieve and maintain ≥ 80% coverage.Follow Git branching strategies and contribute to CI/CD pipeline definitions.Participate in daily tech-talks, knowledge-sharing sessions, and code reviews. Required QualificationsBachelor’s degree in Computer Science or a related field.2–3 years of professional experience working primarily in Python.Strong proficiency with Python standard library and common packages (e.g., NumPy).Solid experience designing and consuming RESTful/GraphQL APIs.Hands-on experience with Docker and at least one cloud platform (AWS or Azure).Proven track record of writing tests with pytest or unittest frameworks.Familiarity with Git workflows and CI/CD best practices.Excellent problem-solving skills and clear communication. Preferred (But not required)Experience with AI/ML frameworks such as TensorFlow, Keras or PyTorch.Prior work with the Django web framework.Understanding of machine learning concepts (neural networks, computer vision, reinforcement learning).Background in data analysis, statistics, or applied mathematics.Exposure to Celery task queues and real-time application patterns.Contributions to open-source Python or AI projects.

AI/ML Engineer Summary Apply Now Noida Full-Time 3-5 Years Industry IT/Artificial Intelligence Responsibilities Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. About The Role Design and implement AI models and machine learning algorithms. The role involves collaborating with data scientists to build intelligent systems and deploying models in production. Qualifications Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. Skills Proficiency in Python and machine learning libraries. Strong understanding of natural language processing (NLP). Experience with cloud-based AI services (AWS, Google AI). Strong problem-solving and analytical skills.

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Manage the development and deployment of AI and machine learning solutions Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively 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: Bachelors/master degree in computer science, engineering, mathematics, statistics, or a related discipline 12+ years of experience in Software Engineering, Data Science, or Analytics with 8+ years of experience in AI/ML engineering or related fields Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Demonstrated experience in leading and managing AI/ML teams and projects, from ideation to delivery and evaluation Experience with Azure development environments Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficient in Python and one of PySpark or Scala. Familiarity with python tools for data processing Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proficiency in libraries such as Hugging Face and OpenAI API Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism Proeven passion for learning and staying updated with the latest AI/ML trends and research 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. #njp

We are seeking a skilled Python TechLead with a strong interest in artificial intelligence and machine learning. Position Python/ML developer Tech Lead ( IMMEDIATE JOINERS PREFERRED) Experience 5 + years No of positions 1 Location Chennai, India Key Skills & Responsibilities Key Skills: Python, Python Flask, NLP (Content extraction), Pandas, OCR, Deep Learning, OpenCV, Tesseract, Computer Vision (Image Processing), TensorFlow, PyTorch, Keras, Scikit- learn, Paddle, ML, ML Algorithms, Neural Networks (CNN), Git, CI/CD, Cloud Experience (Any) Must Have Skills: Proficiency in Python programming language. Minimum 4+ years of hands-on experience in python and ML Strong background in machine learning algorithms and frameworks. Understand the requirements and objectives of the assigned projects Recommend appropriate approaches and technologies to deploy to achieve the objectives Iterate the development process to improve effectiveness of the models Implement parallel processing and other techniques to enhance processing speed Deep understanding of data extraction with Computer Vision and Deep learning libraries Excellent problem solving and analytical skills Ability to understand project requirements and objectives, and translate them into actionable development tasks Effective communication with stakeholders to provide technical insights and project updates Ability to lead and mentor a team of developers, ensuring adherence to best practices and coding standards Strong project management skills, including task prioritization, resource planning, and risk management Nice To Have Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with natural language processing (NLP) techniques. Previous work on computer vision projects Demonstrated experience and success in computer vision and text extraction projects

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are seeking candidates to tackle challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using data science, econometrics, statistical analysis, and programming skills. What you will do Collaborate with data scientists, data analysts, software developers, business representatives from chemical, lubricants, and fuels value chains, and demand planners globally to develop, deliver, and apply computational tools, models, or software to support our business. Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial and logistics problems and provide business insights. Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations. About You Skills and Qualifications Bachelor’s, Master’s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0). At least 2 years of experience in developing, applying, and validating data-driven tools to model complex systems. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods). Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale. Specialization in at least one sub-domain, such as time series forecasting, econometrics, statistics, or NLP. Proficiency in Python and R, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch. Experience with software engineering practices, agile methodologies, DevOps, and version control. Experience working with Azure Databricks or other data science frameworks. Familiarity with software testing and development practices (Agile). Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications / Experience Knowledge of supply chain operations, including demand planning, inventory optimization, vehicle routing, and network optimization. Prior experience in commercial software development or working in commercial software teams. Ability to identify and scope data science opportunities based on business needs. Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment. Excellent problem-solving skills and attention to detail. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) • Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

As a Principal Data Engineer on the Marketplace team, you will be responsible for analysing and interpreting complex datasets to generate insights that directly influence business strategy and decision-making. You will apply advanced statistical analysis and predictive modelling techniques to identify trends, predict future outcomes, and assess data quality. These insights will drive data-driven decisions and strategic initiatives across the organization. The Marketplace team is responsible for building the services where our customers will go to purchase pre-configured software installations on the platform of their choice. The challenges here are across the entire stack, from back-end distributed services operating at cloud scale, to e-commerce transactions, to the actual web apps that users interact with. This is the perfect role for someone experienced in designing distributed systems, writing and debugging code across an entire stack (UI, APIs, databases, cloud infrastructure services), championing operational excellence, mentoring junior engineers, driving development process improvements and excellence in a start-up style environment. Career Level - IC4 Responsibilities As a Principal Data Engineer, you will be at the forefront of Oracles data initiatives, playing a pivotal role in transforming raw data into actionable insights. Collaborating with data scientists and business stakeholders, you will design scalable data pipelines, optimize data infrastructure, and ensure the availability of high-quality datasets for strategic analysis. This role goes beyond data engineering, requiring hands-on involvement in statistical analysis and predictive modeling. You will use techniques such as regression analysis, trend forecasting, and time-series modeling to extract meaningful insights from data, directly supporting business decision-making. Basic Qualifications: 7+ years of experience in data engineering and analytics, with a strong background in designing scalable database architectures, building and optimizing data pipelines, and applying statistical analysis to deliver strategic insights across complex, high-volume data environments Deep knowledge of big data frameworks such as Apache Spark, Apache Flink, Apache Airflow, Presto, Kafka, and data warehouse solutions. Experience working with other cloud platform teams and accommodating requirements from those teams (compute, networking, search, store). Excellent written and verbal communication skills with the ability to present complex information in a clear, concise manner to all audiences Design and optimize database structures to ensure scalability, performance, and reliability within Oracle ADW and OCI environments. This includes maintaining schema integrity, managing database objects, and implementing efficient table structures that support seamless reporting and analytical needs. Build and manage data pipelines that automate the flow of data from diverse sources into Oracle databases, using ETL processes to transform data for analysis and reporting. Conduct data quality assessments, identify anomalies, and validate the accuracy of data ingested into our systems. Working alongside data governance teams, you will establish metrics to measure data quality and implement controls to uphold data integrity, ensuring reliable data for stakeholders. Mentor junior team members and share best practices in data analysis, modeling, and domain expertise. Preferred Qualifications: Solid understanding of statistical methods, hypothesis testing, data distribution, regression analysis, and probability. Proficiency in Python for data analysis and statistical modeling. Experience with libraries like pandas, NumPy, and SciPy. Knowledge of methods and techniques for data quality assessment, anomaly detection, and validation processes. Skills in defining data quality metrics, creating data validation rules, and implementing controls to monitor and uphold data integrity. Familiarity with visualization tools (e.g., Tableau, Power BI, Oracle Analytics Cloud) and libraries (e.g., Matplotlib, Seaborn) to convey insights effectively. Strong communication skills for collaborating with stakeholders and translating business goals into technical data requirements. Ability to contextualize data insights in business terms and to present findings to non-technical stakeholders in a meaningful way. Ability to cleanse, transform, and aggregate data from various sources, ensuring its ready for analysis. Experience with relational database management and design, specifically in Oracle environments (e.g., Oracle Autonomous Data Warehouse, Oracle Database). Skills in designing, maintaining, and optimizing database schemas to ensure efficiency, scalability, and reliability. Advanced SQL skills for complex queries, indexing, stored procedures, and performance tuning. Experience with ETL tools such as Oracle Data Integrator (ODI), or other data integration frameworks.

Job Description About Oracle and OHAI Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. About ODA Within the larger Oracle Health & AI organization, the Oracle Digital Assistant (ODA) is an Assistant platform that enables developers to create their own skills and digital assistants using the Conversational AI and Generative AI capabilities exposed to them in a low-code paradigm. The ODA team has been powering conversational AI experiences for all internal Oracle teams and several external customers for the past 7 years and is evolving rapidly to provide Generative AI solutions for the healthcare and enterprise domains. We operate in an agile environment with a substantial charter, high visibility, and support from senior leadership. About the team We are looking for ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers and ML engineers with a strong background in machine learning to build industry-leading solutions. You will work with huge volumes of data to solve/enable solving real-world problems in the Healthcare domain that are productionized into our Health AI products. Your solutions will be productized as features in the end products. These are new teams that we are putting together in India Center from scratch and the work will span across New Feature Development for CDA Specialty Expansion & Innovation, Language & Region Expansion, Software Development across front-end, back-end, test automation and mobile, ML Engineering, MLOps, LLMOps, Applied ML Sciences and ML Research, with a huge focus on GenAI capabilities. There is a huge emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Qualifications Ph.D. Degree preferred. Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering Exposure to real-world MLOps deploying models into production adding features to products Knowledge of working in a cloud environment 5+ Years of Experience Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot Career Level - IC4 Responsibilities Responsibilities Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and understanding of LLMs, LLMOps and Generative AI - to be able to deliver per specifications; complete assignments without assistance by exercising judgment & appropriate actions Knowledge of Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up; Able to prepare data pipelines and feature engineering pipelines to build robust models Combine ML Sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across Healthcare domain Drives selection of methods and techniques to drive solutions Demonstrate strong program management to be able to multi-task effectively Be able to mentor & lead junior data scientists effectively Contribute to peer reviews, team learning, meeting product objectives and develop best practices for the organization Strong research record preferred demonstrated, through publications Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable Identify and investigate new technologies, prototype and test solutions for product features and design/validate patterns that deliver a compelling experience Take responsibility for technical problem solving to meet product objectives and develop best practices Ability to resolve complex business problems in creative and effective ways Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems

Overview We are looking for a talented Generative AI Developer to join our dynamic team and contribute to our projects in transforming data into actionable insights. Responsibilities Design, develop, and implement generative AI models using Python and relevant libraries. Collaborate with data scientists to analyze data and improve model performance. Develop and maintain Flask APIs to serve AI models and facilitate integration with frontend applications. Utilize SQL for data manipulation and retrieval to support AI model training and evaluation. Engage in code reviews and contribute to best practices for software development. Stay updated with the latest trends and advancements in AI and machine learning technologies. Requirements Primary Skills: Proficient in Python (including libraries such as TensorFlow, PyTorch, or similar frameworks). Strong experience with SQL for database management and data querying. Familiarity with Generative AI tools and platforms (e.g., Gemini Pro). Experience in developing RESTful APIs using Flask. Secondary Skills: Understanding of machine learning concepts and algorithms. Familiarity with cloud computing services (e.g., AWS, Google Cloud) is a plus. Knowledge of data preprocessing and feature engineering techniques. Excellent problem-solving skills and ability to work in a collaborative team environment.

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

About The Role Mandatory SkillGen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred SkillAWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming LanguagesProficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine LearningStrong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data ScienceExperience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data TechnologiesFamiliarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud PlatformsExperience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP)Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer VisionExperience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-SolvingStrong analytical and problem-solving skills with the ability to think critically and creatively. CommunicationExcellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team CollaborationAbility to work effectively in a collaborative team environment and contribute to team success. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job Title: Data Scientist About Us: We as Primotech are as an IT Global Solutions company. Weve been delivering software development and IT projects from several big enterprises to small and medium-sized businesses. We blend agile methodologies with technical expertise to take business to the next level. What We Are Looking for: We are looking for a skilled and motivated Data Scientist with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will design and deploy intelligent systems and predictive models to solve complex business problems, drive automation, and enhance data-driven strategies. Key Responsibilities: Design, develop, and implement AI/ML models to solve business challenges and optimize processes. Analyze large and complex datasets to uncover trends, patterns, and insights. Work with cross-functional teams to define use cases, gather requirements, and deploy end-to-end solutions. Perform model training, validation, testing, and tuning using real-world data. Apply advanced techniques such as deep learning, natural language processing (NLP), and computer vision when applicable. Present findings and recommendations to stakeholders in a clear, concise manner. Monitor and maintain production models to ensure ongoing performance and accuracy. Stay up to date with emerging technologies and best practices in AI and data science. Required Qualifications: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field. Strong programming skills in Python or R, with experience using AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Proficiency in data manipulation using SQL and data analysis/visualization tools (e.g., pandas, matplotlib, seaborn, Tableau). Solid understanding of machine learning algorithms, model evaluation techniques, and AI applications. Hands-on experience with supervised and unsupervised learning, feature engineering, and model deployment. Good understanding of cloud platforms such as AWS, GCP, or Azure. Interested candidates may share their resume at shikha.rana@primotech.com

Job Description: We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail operations. Key Responsibilities: • Develop computer vision models: Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases.• Microservice architecture: Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments.• Data processing pipelines: Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data.• Integrate with existing systems: Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling.• Performance optimization: Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints.• Monitor and improve: Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency.•Security and privacy: Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive information. Experience: •5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications.•Hands-on experience with microservices deployment on cloud platforms (e.g., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies.•Experience with real-time video analytics, including working with large-scale video data and camera feeds. Technical Skills:•Proficiency in programming languages like Python, C++, or Java.•Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) for developing computer vision models.•Strong understanding of microservice architecture, REST APIs, and serverless computing.•Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes).•Familiarity with edge computing and hardware acceleration (e.g., GPUs, TPUs) for running inference on embedded systems. Preferred Qualifications:•Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.).•Understanding of retail operations and common challenges in surveillance.•Knowledge of data privacy regulations such as GDPR or CCPA. Soft Skills:•Strong analytical and problem-solving skills.•Ability to work independently and in cross-functional teams.•Excellent communication skills to convey technical concepts to non-technical stakeholders. Benefits:• Competitive salary and stock options.• Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, we’d love to hear from you!Apply Now

Job Description We are looking for a skilled Machine Learning Engineer or AI Model Developer with at least 5 years of hands-on experience in building, training, and deploying custom AI models. The ideal candidate will have practical experience in developing and fine-tuning machine learning models rather than integrating pre-built models via APIs. Natural Abilities Smart, self motivated, responsible and out of the box thinker. Detailed oriented and powerful analyzer. Great writing and communication skills. Requirements: 5+ years of hands-on experience in building custom machine learning models (not just using APIs or pre-built models). Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar. Strong programming skills in Python, with experience in libraries such as NumPy, pandas, scikit-learn, and others. Experience in training and fine-tuning machine learning models using real datasets. Knowledge of machine learning algorithms, model evaluation, and feature engineering. Hands-on experience with data preprocessing, model optimization, and hyperparameter tuning. Experience with cloud-based machine learning tools (AWS, GCP, or Azure) is a plus. Responsibilities: Design, develop, and implement custom machine learning models tailored to specific business problems. Train, optimize, and validate machine learning models using real-world datasets and advanced techniques. Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions. Build and maintain end-to-end machine learning pipelines from data preprocessing to model deployment. Continuously improve the performance, scalability, and reliability of AI models in production environments. Perform model evaluations and select the best-performing models for real-world applications. Ensure proper documentation of model development processes and results. Stay current with industry trends, algorithms, and new technologies related to machine learning and AI. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,200,000.00 per year Schedule: Day shift Monday to Friday Experience: ML/DS: 5 years (Required) Location: Adajan, Surat, Gujarat (Preferred) Work Location: In person Expected Start Date: 15/05/2025

An AI Data Scientist at IBM is not just a job title – it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

About the role: We are seeking a highly skilled Domain Expert in Condition Monitoring to join our team and play a pivotal role in advancing predictive maintenance strategies for electrical equipment. This position focuses on leveraging cutting-edge machine learning and data analytics techniques to design and implement scalable solutions that optimize maintenance processes, enhance equipment reliability, and support operational efficiency. As part of this role, you will apply your expertise in predictive modeling, supervised and unsupervised learning, and advanced data analysis to uncover actionable insights from high-dimensional datasets. You will collaborate with cross-functional teams to translate business requirements into data-driven solutions that surpass customer expectations. If you have a passion for innovation and sustainability in the industrial domain, this is an opportunity to make a meaningful impact. Key Responsibilities: Develop and implement predictive maintenance models using a variety of supervised and unsupervised learning techniques. Analyze high-dimensional datasets to identify patterns and correlations that can inform maintenance strategies. Utilize linear methods for regression and classification, as well as advanced techniques such as splines, wavelets, and kernel methods. Conduct model assessment and selection, focusing on bias, variance, overfitting, and cross-validation. Apply ensemble learning techniques, including Random Forest and Boosting, to improve model accuracy and robustness. Implement structured methods for supervised learning, including additive models, trees, neural networks, and support vector machines. Explore unsupervised learning methods such as cluster analysis, principal component analysis, and self-organizing maps to uncover insights from data. Engage in directed and undirected graph modeling to represent and analyze complex relationships within the data. Collaborate with cross-functional teams to translate business requirements into data-driven solutions. Communicate findings and insights to stakeholders, providing actionable recommendations for maintenance optimization. Mandatory Requirements: Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field. Proven experience in predictive modeling and machine learning, particularly in the context of predictive maintenance. Strong programming skills in languages such as Python, R, or similar, with experience in relevant libraries (e.g., scikit-learn, TensorFlow, Keras). Familiarity with data visualization tools and techniques to effectively communicate complex data insights. Experience with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus. Excellent problem-solving skills and the ability to work independently as well as part of a team. Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. Good to Have: Experience in Industrial software & Enterprise solutions Preferred Skills & Attributes: Strong understanding of modern software architectures and DevOps principles. Ability to analyze complex problems and develop effective solutions. Excellent communication and teamwork skills, with experience in cross-functional collaboration. Self-motivated and capable of working independently on complex projects. About the Team Become a part of our mission for sustainability: clean energy for generations to come. We are a global team of diverse colleagues who share a passion for renewable energy and have a culture of trust and empowerment to make our own ideas a reality. We focus on personal and professional development to grow internally within our organization. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 96,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As an engineer you will be responsible for: • Ownership of product/feature end-to-end for all phases from the development to the production. • Ensuring the developed features are scalable and highly available with no quality concerns. • Work closely with senior engineers for refining the design and implementation. • Management and execution against project plans and delivery commitments. • Assist directly and indirectly in the continual hiring and development of technical talent. • Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. • Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About the team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions.​ Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 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 Title: Data Scientist – Python Location: Bhopal (Onsite) Experience: 1 to 3 Years Employment Type: Full-time About Us: At Brandsmashers Tech , we’re passionate about leveraging data to transform industries and empower decision-making. We work across domains like e-commerce, healthcare, agriculture, and education, delivering scalable, data-driven solutions. Join us and be part of a team shaping the future with technology and insights. Job Summary: We are looking for a Data Scientist proficient in Python to join our analytics and AI team. The ideal candidate will have hands-on experience with data preprocessing, statistical analysis, machine learning, and data visualization. You’ll play a key role in deriving actionable insights from data and developing intelligent solutions that drive business value. Key Responsibilities: Analyze large datasets to discover trends, patterns, and insights. Develop, test, and deploy machine learning models using Python libraries (e.g., scikit-learn, TensorFlow, PyTorch). Perform data cleaning, transformation, and feature engineering. Design and implement predictive models and algorithms. Visualize data insights using tools like Matplotlib, Seaborn, Plotly, or Power BI. Collaborate with cross-functional teams including engineering, product, and marketing to integrate data science solutions. Communicate findings to stakeholders through presentations and reports. Stay updated with latest advancements in data science and machine learning. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. 2+ years of hands-on experience in data science or applied machine learning. Strong proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, and Matplotlib. Experience with ML frameworks like TensorFlow, Keras, or PyTorch. Knowledge of SQL and data querying tools. Experience with model deployment is a plus (e.g., using Flask, FastAPI). Excellent problem-solving skills and analytical mindset. Strong communication and collaboration skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure). Knowledge of big data tools (Spark, Hadoop) is a plus. Understanding of MLOps and automated pipelines. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Weekend availability Ability to commute/relocate: Govindpura, Bhopal, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Required) Data science: 2 years (Required) Language: English (Preferred) Work Location: In person Expected Start Date: 02/05/2025

Abstract:Job DescriptionA Machine Learning (ML) Developer is an expert in applying advanced AI/ML algorithms and techniques to solve complex problems, including building, training, and deploying machine learning models. This role focuses on creating and optimizing systems to automate processes such as image classification, speech recognition, market forecasting, and large language model (LLM) fine-tuning.Roles & ResponsibilitiesMachine Learning Development: Design, build, train, and fine-tune machine learning and deep learning models, particularly in the context of large language models (LLMs).Data Pipeline Creation: Develop and manage efficient data pipelines for data preprocessing and feature engineering.MLOps Implementation: Create CI/CD pipelines to automate the deployment, monitoring, and updating of ML models in production environments.LLM Fine-Tuning: Fine-tune LLMs for specific applications and domains, leveraging frameworks like Hugging Face and open-source LLMs.Model Evaluation: Regularly evaluate model performance, accuracy, and reliability using statistical and computational techniques.Collaboration: Work in an Agile environment with cross-functional teams to integrate ML solutions into larger systems.Framework Utilization: Utilize machine learning frameworks such as TensorFlow, PyTorch, or Keras to develop scalable solutions.Data Management: Manage large datasets, ensure data quality, and design robust preprocessing pipelines.AI/ML Research: Stay updated on the latest advancements in AI/ML algorithms, tools, and techniques to implement cutting-edge solutions. RequirementsProgramming and FrameworksFundamentals of SQLFastAPI frameworkPyTorch frameworkMMDetection frameworkParallel Processing and OptimizationTechniques for parallel execution and data processingImage and Data ProcessingOptical Character Recognition (OCR)Data processing and image manipulationDeep Learning ConceptsBasics of neural networks and optimizersConvolutional Neural Networks (CNN)Region-based Convolutional Neural Networks (RCNN)Advanced AI and LLMsPrompt engineering principlesRetrieval-Augmented Generation (RAG) using the LangChain frameworkOpen-source Large Language Models (LLMs)MLOps and DeploymentMLOps practices, including:MLflowDockerCI/CD pipelinesGitLab Benefits5-day working company.Quarterly rewards based on roadmap achievements and customers’ success.20 Yearly leaves.14 National Holidays Off.Cross-team work culture.Career Development & Training Programs.Employee Referral Benefits.Birthday/Anniversary/Festival Celebrations.Compensatory Off Benefits.Paid half-day leaves on special occasions of Birthdays & anniversaries.Meals while working extra.Yearly day-outing activities.Yearly Achievement Awards.

Location: Bangalore - Karnataka, India - EOIZ Industrial Area Job Family: Engineering Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T3(B) Job ID: R-44363-2025 Description & Requirements Job Location: Bengaluru, India (hybrid model) Responsibilities: Develop, test, and maintain web applications using Python and related frameworks like Flask. Write clean, maintainable, and efficient code. Troubleshoot and debug applications to ensure optimal performance. Participate in code reviews to maintain code quality and share knowledge with the team. Work on integrating machine learning models and algorithms into applications (nice to have). Requirements: 7-10 years of professional experience in Python development. Strong knowledge of web frameworks like Flask. Experience with machine learning stacks is a plus. Experience with relational databases such as PostgreSQL, MySQL, or similar. Familiarity with version control systems like Git. Knowledge of software development best practices and design patterns. Excellent problem-solving skills and the ability to work independently as well as in a team. Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders. Proficiency in front-end technologies like HTML, CSS, and JavaScript is a plus. Experience with machine learning stacks such as TensorFlow, Keras, or scikit-learn is a plus. Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Job summary: Financial Institutions routinely use models for a broad range of activities including analyzing business strategies, informing business decisions, identifying and measuring risk, valuing exposures or instruments, hedging derivative positions, conducting stress testing, assessing capital adequacy, managing clients assets, informing investment process, measuring compliance with internal limits, maintaining the formal control apparatus of the bank, meeting financial or regulatory reporting requirements and issuing public disclosures. Model Risk arises from the potential adverse consequences of making decisions based on incorrect or misused model outputs and reports, leading to financial loss, poor business decision making, or reputational damage. As part of the firm’s model risk management function, Model Risk Governance and Review Group (MRGR) is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model’s appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations. Model manager roles within MRGR provide attractive career paths for model development and model validation quants in a dynamic setting working closely with Model Developers, Model Users, Risk and Finance professionals, where they act as key stakeholders on day-to-day model-related risk management decisions as well as conduct independent model validation of new and existing models. Core responsibilities: The successful candidate will be a member of the MRGR Group in Bengaluru covering all Data Science across all ex-trading applications of artificial intelligence and machine learning models across CIB: Engage in new model validation activities for all Data Science models in the coverage area - evaluate conceptual soundness of model specification; reasonableness of assumptions and reliability of inputs; fit for purpose; completeness of testing performed to support the correctness of the implementation; robustness of numerical aspects; suitability and comprehensiveness of performance metrics and risk measures associated with use of model. Conduct independent testing Perform additional model review activities ranging from proposed enhancements to existing models, extensions to scope of existing models. Liaise with Model Developers, Model Users, Risk and Finance professionals to provide oversight of and guidance on appropriate usage, controls around model restrictions & limitations, and findings for ongoing performance assessment & testing Maintain model risk control apparatus of the bank for the coverage area & serve as first point of contact Keep up with the latest developments in coverage area in terms of products, markets, models, risk management practices and industry standards Essential skills, experience, and qualifications : A Ph.D. or Master’s degree in a Data Science oriented field such as Data Science, Computer Science or Statistics, is required. Prior experience in following backgrounds (2-4+ years): Data Science, Quantitative Model Development, Model Validation or Technology focused on Data Science including hands on experience with building/testing machine learning models Strong understanding of Machine Learning / Data Science theory, techniques and tools including Transformers, Large Language Models, NLP, GANs, Deep Learning, OCR, XGBoost, and Reinforcement Learning Understanding of the machine learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop is an asset Proficiency in Python programming. Python machine learning library and ecosystem experience: Numpy Scipy Scikit-learn Theano TensorFlow Keras PyTorch Pandas Excellent writing skills: previous experience in writing scientific text with the ability to describe evidence and present logical reasoning clearly. Strong communication skills and ability to interface with other functional areas in the bank on model-related issues Risk and control mindset: ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues

An Advisory AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project Management: Collaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Preferred Technical and Professional Experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Required Education Bachelor's Degree