9814 Tensorflow Jobs - Page 47

Role: Gen AI Engineer Location: Hyderabad Experience: 5+ years Mode of Interview: Scheduled in-person interview only Date: 12th July Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Company Description Aziro (formerly MSys Technologies and pronounced as "Ah-Zee-Roh") is an AI-native product engineering company driving innovation-led tech transformation for global enterprises, high growth ISVs and AI first pioneers. Role Description This is a full-time hybrid role for a Senior AI/ML Engineer based in Chennai/Bangalore/Pune, with some work-from-home flexibility. We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutions—including fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecycle—from prototyping to deployment—while contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Qualifications 6–10 years total software/ML engineering experience, including 3+ years delivering ML models or GenAI systems to production. Proven track record building and optimising RAG or LLM‑powered applications at scale Proficiency in Python and ML frameworks (PyTorch, TensorFlow) and in cloud‑native deployment (AWS/GCP/Azure). Hands‑on experience with vector databases, embeddings, and prompt engineering. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Experience with multi‑agent frameworks (Crew AI, AutoGen, LangGraph). Certifications such as AWS Certified Machine Learning Specialty / Azure AI Engineer / Google Professional Machine Learning Engineer. Bachelor’s degree in Computer Science, Data Science, Engineering or related discipline (Master’s preferred). Soft Skills & Leadership Attributes Ownership mindset: drives features from design through deployment and monitoring. Clear communicator: explains technical trade‑offs to stakeholders, writes concise docs, and updates project artefacts. Collaboration & mentorship: pairs with junior ngineers, shares knowledge in brown‑bag sessions, gives constructive PR feedback. Continuous learning: tracks latest GenAI research, evaluates new tooling, and proposes incremental improvements.

About the Role: We are looking for a highly skilled AI/ML Developer to join the core product team of QAPilot.io. The ideal candidate should come from a product-based or AI-first company, with a strong academic background from institutes like IITs, NITs, IIITs, or other Tier-1 engineering colleges. You will work on real-world AI problems related to test automation, software quality, and predictive engineering. Key Responsibilities: Design, build, and deploy machine learning models for intelligent QA automation Work on algorithms for test case optimization, bug prediction, pattern recognition, and data-driven QA insights Apply techniques from supervised/unsupervised learning, NLP, and deep learning Integrate ML models into the product using scalable and production-ready code Continuously improve model performance through experimentation and feedback loops Collaborate with full-stack developers, product managers, and QA experts Explore LLMs, transformers, and generative AI for advanced test data generation and analysis Required Skills & Qualifications: B.Tech / M.Tech / MS in Computer Science, Data Science, or related fields from IIT/NIT/IIIT or other top-tier institutes 3+ years of experience as an AI/ML Developer, preferably in product or AI-centric companies Strong proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch) Experience in NLP, LLMs, or generative AI (preferred) Hands-on with ML lifecycle: data wrangling, model training, evaluation, and deployment Familiarity with MLOps tools like MLFlow, Docker, Airflow, or cloud platforms (AWS/GCP) Prior exposure to software testing, DevOps, or developer tooling is a plus Strong analytical skills, attention to detail, and curiosity to solve open-ended problems Portfolio, GitHub, or project links demonstrating AI/ML expertise are desirable Why Join QAPilot.io: Work on an innovative AI product transforming the software QA ecosystem Join a high-impact, product-oriented engineering culture Solve challenging AI problems with real user value Collaborate with top talent from the tech and AI ecosystem Competitive salary, learning-focused environment, and growth opportunities To Apply: Please send your updated resume and any supporting links (GitHub, projects, publications).

Dear Candidates, Please find below the Job Description for an exciting opportunity with us: Location: Whitefield, Bangalore Contact: Ramya 9019493984 / 9113935324 Position: Principal Engineer / AI Platform Architect Key Responsibilities Architect & Develop Core Systems Lead the design and implementation of scalable, secure, and highly available enterprise cloud AI platform services. Drive evolution of microservices architecture to enhance performance, resilience, and developer productivity. Technical Leadership & Mentorship Provide guidance and mentorship to engineers, fostering a culture of learning. Establish and enforce best practices for developing cutting-edge AI solutions. Cross-Functional Collaboration Work with AI research, engineering, product, and UX teams to translate business needs into scalable solutions. Lead architectural reviews and contribute to technical roadmap planning. AI Innovation & Exploration Explore and evaluate emerging AI/ML technologies, frameworks, and tools. Collaborate with AI research teams to implement GenAI and ML solutions in production. Quality, Security & Compliance Champion CI/CD, automated testing, observability, and robust security practices. Ensure adherence to industry standards, privacy laws, and internal policies. Qualifications Educational Background: Bachelors or Masters in Computer Science, ML/AI, Software Engineering, or a related field. Technical Expertise: 12+ years of software development experience, including 3+ years in a lead or principal role. Hands-on experience with Python, Go, Java, or C++. Strong understanding of cloud-native architectures, Kubernetes, and platforms like AWS, GCP, or Azure. Experience with SQL/NoSQL, Kafka, and scalable storage solutions. Expertise in microservices, RESTful APIs, GraphQL, and event-driven architecture. AI/ML & Data Skills: Deep experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). Hands-on with GenAI technologies, LLMs, and frameworks like LangChain, LlamaIndex, AutoGen, etc. Soft Skills & Leadership: Excellent communication and stakeholder management skills. Strong problem-solving abilities and a track record of delivering projects end-to-end. Ability to lead in a fast-paced, collaborative environment. Feel free to reach out for further information or clarification. Best regards, Ramya Talent Acquisition 9019493984 / 9113935324

Join us at Seismic, a cutting-edge technology company leading the way in the SaaS industry. We specialize in delivering modern, scalable, and multi-cloud solutions that empower businesses to succeed in today's digital era. Leveraging the latest advancements in technology, including Generative AI, we are committed to driving innovation and transforming the way businesses operate. As we embark on an exciting journey of growth and expansion, we are seeking a talented Data Scientist to join our AI team in Hyderabad, India. As a Senior Data Scientist II , you will architect and develop complex AI applications, lead strategic technical initiatives, and mentor other data scientists and engineers to build next-gen AI capabilities. You will own high-impact projects and work with cross-functional teams to design, build, and maintain scalable, high-performance models and AI applications that deliver exceptional value to our customers. This position offers a unique opportunity to make an impact on our company's growth and success by bringing AI-powered features to life across our platform, including content discovery, learning and coaching, meeting intelligence and various AI capabilities. This is a hands-on, high-ownership role ideal for a senior individual contributor ready to scale AI in production. Seismic AI AI is one of the fastest-growing product areas in Seismic. We believe that AI, particularly Generative AI, will empower and transform how Enterprise sales and marketing organizations operate and interact with customers. Seismic Aura, our leading AI engine, is powering this change in the sales enablement space and is being infused across the Seismic enablement cloud. Our focus is to leverage AI across the Seismic platform to make our customers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes. Why Join Us Opportunity to be a key contributor in a rapidly growing company and drive innovation in the SaaS industry. Work with cutting-edge technologies and be at the forefront of AI advancements. Competitive compensation package, including salary, bonus, and equity options. A supportive, inclusive work culture. Professional development opportunities and career growth potential in a dynamic and collaborative environment. At Seismic, we’re committed to providing benefits and perks for the whole self. To explore our benefits available in each country, please visit the Global Benefits page. Please be aware we have noticed an increase in hiring scams potentially targeting Seismic candidates. Read our full statement on our Careers page. Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences at scale. The Seismic Enablement Cloud™ is the only unified AI-powered platform that prepares customer-facing teams with the skills, content, tools, and insights needed to maximize every buyer interaction and strengthen client relationships. Trusted by more than 2,000 organizations worldwide, Seismic helps businesses achieve measurable outcomes and accelerate revenue growth. Seismic is headquartered in San Diego with offices across North America, Europe, Asia and Australia. Learn more at seismic.com. Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are. Learn more about DEI at Seismic here. Key Responsibilities AI Application Development: Architect and develop robust and scalable data science and AI applications, including NLP, classification, retrieval-augmented generation (RAG), and conversational/agentic, and multi-agent systems. Mentorship and Leadership: Mentor and coach junior and mid-level data scientists and engineers, promoting technical excellence and knowledge sharing across the team. Model Optimization: Design and implement high-performance machine learning models and pipelines. Continuously improve latency, robustness, accuracy, and scalability. Innovation and Technology Adoption: Evaluate and implement new tools, frameworks, and methodologies to improve the efficiency and quality of AI systems. Product Integration: Collaborate with AI engineers, software engineers, and product managers to seamlessly integrate AI features across Seismic’s products. Cross-functional Collaboration: Partner with UX, engineering, and product teams to design end-to-end intelligent experiences for our users. Decision-making and Ownership: Take ownership of complex decisions within your domain and contributing to goal-setting and strategy. Experience Bachelor’s degree and 8+ years of experience, or an advanced degree (Master’s or PhD) with 6+ years of industry experience in data science or AI. Technical Expertise Deep knowledge of AI and data science, including Generative AI, LLMs (OpenAI, Azure, Google, open-source), RAG pipelines, prompt engineering, NLP, and image models. Strong proficiency in Python, along with libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow. Hands-on experience with HuggingFace, LangChain, and cloud-native AI services. Cloud Expertise Experience with AWS, Azure, or GCP for model training, deployment, and data workflows. Familiarity with MLOps and model lifecycle management in production environments. Product Thinking Ability to translate complex business challenges into technical solutions that scale. Experience in collaborating with product management and design in a product triad model. Proven track record of delivering AI-powered features from concept to production. Education Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Other Skills Excellent communication and collaboration skills. Strong decision-making ability and a thoughtful, data-driven approach to solving problems. Experience working in a fast-paced SaaS or tech-driven environment. If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please click here. Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales enablement , backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T. Rowe Price. Seismic also expanded its team and product portfolio with the strategic acquisitions of SAVO, Percolate, Grapevine6, and Lessonly. Our board of directors is composed of several industry luminaries including John Thompson, former Chairman of the Board for Microsoft. Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of whats possible in AI applications System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence.

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps – Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. You’re Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What You’ll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Master’s degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description: - You'll be Responsible for:  Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications  Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies  Drive innovation in AI agent development and orchestration for automated decisionmaking systems  Establish best practices for responsible AI development and deployment What you'd have:  AI-ML Engineer or Data Scientist with 3 – 11 years of relevant experience  Strong expertise in modern AI frameworks and tools:  ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn)  LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)  Vector databases (Pinecone, Weaviate, ChromaDB) – Good To Have  Hands-on experience with:  Generative AI and foundation models  Prompt engineering and LLM fine-tuning  AI agent development and orchestration  RAG (Retrieval-Augmented Generation) systems  Proven experience in data preparation, including:  Advanced data preprocessing techniques  Feature engineering  Data quality assessment and improvement  Proficiency in data exploration tools (Pandas, Numpy, Polars)  Strong programming skills in Python; R is a plus  Deep understanding of:  Statistics and probability  ML/DL algorithms  AI governance and responsible AI practices  Experience with:  Large-scale data processing  Model deployment and MLOps  Cost optimization for AI systems  Track record of 3-5 successful AI/ML projects in production  Excellent communication skills and team leadership ability  Continuous learning mindset for emerging AI technologies Skills:  Statistics and Mathematics  Classical Machine Learning  Deep Learning and Neural Networks  Generative AI and LLMs  Agentic AI Development  MLOps and Production Engineering  Data Engineering  Model Optimization and Tuning  AI Governance and Ethics  Team Leadership Why join us?  Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry.  Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development.  Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

Job Description Job Title: Data Science Candidate Specification: 6+ years, Notice � Immediate to 15 days, Hybrid model. Job Description 5+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling. Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). Skills Required RoleData Science ( AI ML ) Industry TypeIT Services & Consulting Functional AreaIT-Software Required Education Bachelor Degree Employment TypeFull Time, Permanent Key Skills DATA SCIENCE AI ENGINEER MACHINE LEARNING DATA SCIENCE AI ML PYTHON AWS Other Information Job CodeGO/JC/686/2025 Recruiter NameSheena Rakesh

Job Description Job Title: Senior Analyst - Data Analytics Location: Pan India Candidate Specifications Candidate should have 3+ years of experience in Data Analytics and reporting, Databricks, Power BI, Snowflake. Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R. Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue. Hands-on experience in building and deploying machine learning models. Ability to translate complex data into actionable insights. Excellent problem-solving and communication skills Job Description Design and build interactive dashboards and reports using Power BI and Microsoft Fabric Perform advanced data analysis and visualisation to support business decision-making. Develop and maintain data pipelines and queries using SQL and Python. Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve business problems and uncover actionable insights. Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows. Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value. Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner. Use statistical techniques and hypothesis testing to validate assumptions and support decision-making. Document data science workflows and maintain reproducibility of experiments and models Support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts Design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Professional Certifications (preferred Or In Progress) Microsoft Certified: Power BI Data Analyst Associate (PL-300) SnowPro Core Certification (Snowflake) Microsoft Certified: Azure Data Engineer Associate AWS Certified: Data Analytics � Specialty Skills Required RoleSenior Analyst - Data Analytics - Pan India Industry TypeBanking/ Financial Services Functional AreaITES/BPO/Customer Service Required Education B Com Employment TypeFull Time, Permanent Key Skills DATA ANALYTIC S DATABRICKS P O W ER BI REPORTING Other Information Job CodeGO/JC/687/2025 Recruiter NameHemalatha

We are seeking a Data Scientist with 3 to 5 years of experience to join our data and analytics team. In this role, you will leverage data to develop and deploy predictive models, uncover actionable insights, and support data-driven decision-making across business units. This position requires a strong foundation in statistics, machine learning, and programming, combined with the ability to communicate findings clearly to both technical and non-technical stakeholders. Key Responsibilities Analyze complex datasets to identify trends, patterns, and insights that drive business outcomes. Design and develop machine learning models for classification, regression, recommendation, clustering, or forecasting. Clean, transform, and enrich data from diverse sources to support modeling and reporting. Work closely with product, engineering, and operations teams to scope problems and translate them into data science solutions. Design and execute A/B testing frameworks for product and marketing optimization. Visualize and present results using dashboards and storytelling techniques that influence decisions. Monitor and improve deployed models and pipelines for performance and stability. Ensure data quality, security, and compliance with governance standards. Required Qualifications Bachelor's or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 35 years of practical experience in a data science or machine learning role. Proficiency in Python (NumPy, pandas, scikit-learn, etc.) or R. Strong command of SQL and working knowledge of relational databases. Solid understanding of statistical methods, hypothesis testing, and model evaluation techniques. Hands-on experience building and tuning supervised and unsupervised models. Experience working with version control systems (e.g., Git) and reproducible workflows. Preferred Qualifications Experience with cloud platforms like AWS (SageMaker), GCP (Vertex AI), or Azure. Familiarity with big data tools like Spark, Hive, Presto, or Snowflake. Exposure to MLOps practices and tools such as MLflow, Airflow, or Docker. Experience with data visualization tools like Tableau, Power BI, Plotly, or matplotlib. Business acumen to frame open-ended problems and translate insights into action.

Lead Sofware Engineer - Simulations(with ML Background) - Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief We are seeking a Lead Software Engineer with deep experience in simulation systems and a solid foundation in machine learning to lead the architecture and development of our next-generation simulation and digital twin platforms. This role blends technical leadership with hands-on engineering, guiding the design of simulation systems that model real-world environments and power intelligent, ML-driven decision-making. You’ll be responsible for leading simulation efforts that generate actionable insights, synthetic data, and predictive capabilities — while also influencing how ML models are built, trained, and deployed within these environments. What I'll be doing – your accountabilities/responsibilities? Architect and lead simulation platforms that model complex systems across time, agents, and interactions. Bridge simulation systems with ML workflows: data generation, model training/testing, reinforcement learning, etc. Define system architecture, technology choices, and software patterns for scalable, high-performance simulation and ML integration. Collaborate with ML engineers, data scientists, and domain experts to enable closed-loop simulations for forecasting, optimization, and control. Lead cross-functional engineering efforts across simulation, data, and ML infrastructure teams. Mentor engineers across disciplines, setting technical standards and fostering a high-performance culture. Own end-to-end delivery of simulation-enabled intelligent systems — from ideation to production. Develop and optimize algorithms for discrete-event simulation, agent-based modeling. Support scenario testing, what-if analysis, and optimization workflows using simulation outputs. Ensure models are modular, extensible, and easily integrated with external services/platforms (e.g., dashboards, analytics, AI agents). Foundational /Must Have Skills Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field. 12+ years of software engineering experience, with 3+ years leading teams or major initiatives. Demonstrated experience in simulation platforms (e.g., SimPy, Mesa, CARLA, Unity, AnyLogic, or custom-built engines). Strong programming skills in Python (required); additional languages like C++, Rust, or Julia are a plus. Deep understanding of ML principles — model pipelines, data engineering, evaluation, and deployment. Experience working with synthetic data, simulators for ML training/testing, or RL environments (e.g., OpenAI Gym, Isaac Sim, Unity ML-Agents). Solid grasp of software architecture, distributed systems, and CI/CD pipelines. Preferred To Have Experience with reinforcement learning, decision-making under uncertainty, or control systems. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and MLOps tools (e.g. MLflow, Weights & Biases). Background in simulation-heavy domains such as robotics, logistics, autonomous systems. Familiarity with cloud infrastructure (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Strong communication and cross-functional leadership skills — able to align engineers, ML teams, and product stakeholders. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

We are looking for talented Python Developers with 3 - 6 years of hands-on experience in Natural Language Processing (NLP) and Generative AI Models to join our growing team working on innovative projects in enterprise scale AI applications and solutions. Responsibilities: Design, evaluation, and best fit analysis of NLP / ML Models Design, fine-tuning, and deployment of open-source and API-based LLMs to solve real-world use cases Engage with clients for data preparation process, the subtleties of the fine-tuning procedure, and the challenges it presents. Lead efforts to address challenging data science and machine learning problems, spanning predictive modeling to natural language processing, with a significant impact on organizational success. Building data ingestion pipelines, handling various data formats such as JSON and YAML. Technical Qualifications: Strong in data collection, curation, and dataset preparation for ML Models (Classifiers / Categorization). Demonstrable expertise in area of data science or analytics (e.g., machine learning, deep learning, NLP, predictive modeling and forecasting, statistics). Strong experience in machine learning (unsupervised and supervised techniques) and experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative Models etc would be a plus. SQL expertise for data extraction, transformation, and analysis. Experience in building and maintaining scalable APIs using FastAPI / Flask frameworks. Proficiency in Python, with experience in libraries such as PyTorch or TensorFlow. Solid understanding of data structures, embedding techniques, and vector search systems. Experience in SQL / NoSQL databases including PostgreSQL, MySQL and MongoDB. Proficiency in Graph Databases Neo4j. Generic Qualifications: Comfortable working with cross-functional teams product managers, data scientists, and other developers to deliver quality software solutions. Ensure software quality through code reviews, unit testing, and best practices for DevOps and CI/CD pipelines. Ability to manage time wisely across projects and competing priorities, meet agreed upon deadlines, and be accountable for work. Able to write maintainable and functionally tested modules. You should not hesitate in learning and building innovative solutions in newer technology stacks. Others: Candidate should be willing to relocate or commute to North Bangalore (Yelahanka) for work.

Responsibilities: * Develop AI solutions using OpenCV, machine learning & neural networks. * Collaborate with radiation oncologists on research projects. * Implement Python scripts with TensorFlow or PyTorch. * have experience in image processing

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains. As part of our continued platform evolution and expansion into generative AI, we are looking for a skilled Machine Learning Engineer to join our team. You will be responsible for designing, building, and deploying machine learning models, with a focus on GenAI, Retrieval-Augmented Generation (RAG), large language models (LLMs), and intelligent chatbot integration. Your work will enable rapid development of innovative use cases contextualized to our client's domain, significantly reducing time-to-market and enhancing end-user experience. Key Responsibilities: Design and develop machine learning and generative AI models to enhance platform capabilities, enable intelligent interactions, and support diverse use cases. Implement Retrieval-Augmented Generation (RAG) pipelines for contextual responses based on enterprise data. Integrate LLM-based chatbots with client-specific domain knowledge and data systems to ensure relevance and accuracy. Collaborate with Data Scientists, ML Engineers, and MLOps teams to operationalize models using Azure ML and other cloud-native services. Build and maintain scalable machine learning and RAG pipelines using Azure technologies. Fine-tune pre-trained LLMs and optimize model performance based on business and technical feedback. Continuously evaluate emerging techniques in generative AI, ML, and data science to recommend improvements and innovations. Work in an Agile environment and participate in team ceremonies and stakeholder interactions to align model development with business needs. Required Skills and Experience: 4–9 years of relevant experience in AI/Machine Learning, Data Science, or a related field. Strong proficiency in Python and experience with ML libraries such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain, etc. Hands-on experience with Azure ML, Azure Cognitive Services, Azure OpenAI, and related Azure data services (e.g., Azure Data Lake, Azure Functions, Azure Search). Experience building and deploying RAG architectures and working with LLMs for enterprise use cases. Understanding of vector databases (e.g., Pinecone, Weaviate, Azure AI Search with Vector Capabilities). Familiarity with chatbot development frameworks and integrating with front-end interfaces. Solid grasp of ML model lifecycle including versioning, monitoring, CI/CD, and MLOps principles. Experience working in collaborative, agile, and fast-paced environments. Databricks Desirable Skills: Familiarity with large-scale data processing using Spark, or similar. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Exposure to domain-specific fine-tuning of LLMs and prompt engineering practices. Strong communication and stakeholder collaboration skills to understand client context and explain technical approaches effectively. Must Have Requirements Strong proficiency in Python and experience with ML libraries such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain, etc. BFSI Domain Experience

Lead data science team to deliver ML/NLP solutions. Build scalable models using Python, ensure data governance, collaborate across teams, and present insights. Requires expertise in ML, NLP, Python, data visualization, and strong leadership.

Sanctity AI is a Netherlands-based startup founded by an IIT alum, specializing in ethical, safe, and impactful artificial intelligence. Our agile team is deeply focused on critical areas like AI alignment, responsible LLM training, prompt orchestration, and advanced agent infrastructure. In a landscape where many talk ethics, we build and deploy solutions that genuinely embody ethical AI principles. Sanctity AI is positioned at the forefront of solving real-world alignment challenges, shaping the future of trustworthy artificial intelligence. We leverage proprietary algorithms, rigorous ethical frameworks, and cutting-edge research to deliver AI solutions with unparalleled transparency, robustness, and societal impact. Sanctity AI represents a rare opportunity in the rapidly evolving AI ecosystem, committed to sustainable innovation and genuine human-AI harmony. The Role As an AI ML Intern reporting directly to the founder, you’ll go beyond just coding. You’ll own whole pipelines—from data wrangling to deploying cutting-edge ML models in production. You’ll also get hands-on experience with large language models (LLMs), prompt engineering, semantic search, and retrieval-augmented generation. Whether it’s spinning up APIs in FastAPI, containerizing solutions with Docker, or exploring vector and graph databases like Pinecone and Neo4j, you’ll be right at the heart of our AI innovation. What You’ll Tackle Data to Insights: Dive into heaps of raw data, and turn it into actionable insights that shape real decisions. Model Building & Deployment: Use Scikit-learn, XGBoost, LightGBM, and advanced deep learning frameworks (TensorFlow, PyTorch, Keras) to develop state-of-the-art models. Then, push them to production—scaling on AWS, GCP, or other cloud platforms. LLM & Prompt Engineering: Fine-tune and optimize large language models. Experiment with prompt strategies and incorporate RAG (Retrieval-Augmented Generation) for more insightful outputs. Vector & Graph Databases: Implement solutions using Pinecone, Neo4j, or similar technologies for advanced search and data relationships. Microservices & Big Data: Leverage FastAPI (or similar frameworks) to build robust APIs. If you love large-scale data processing, dabble in Apache Spark, Hadoop, or Kafka to handle the heavy lifting. Iterative Improvement: Observe model performance, gather metrics, and keep refining until the results shine. Who You Are Python Pro: You write clean, efficient Python code using libraries like Pandas, NumPy, and Scikit-learn. Passionate About AI/ML: You’ve got a solid grasp of algorithms and can’t wait to explore deep learning or advanced NLP. LLM Enthusiast: You’re familiar with training or fine-tuning large language models and love the challenge of prompt engineering. Cloud & Containers Savvy: You’ve at least toyed with AWS, GCP, or similar, and have some experience with Docker or other containerization tools. Data-Driven & Detail-Oriented: You enjoy unearthing insights in noisy datasets and take pride in well-documented, maintainable code. Curious & Ethical: You believe AI should be built responsibly and love learning about new ways to do it better. Languages: You can fluently communicate complex technical ideas in English. Fluency in Dutch, Spanish or French is a plus. Math Wizard: You have a strong grip on Advanced Mathematics and Statistical modeling. This is a core requirement. Why Join Us? Real-World Impact: Your work will address real world and industry challenges—problems that genuinely need AI solutions. Mentorship & Growth: Team up daily with founders and seasoned AI pros, accelerating your learning and skill-building. Experimentation Culture: We encourage big ideas and bold experimentation. Want to try a new approach? Do it. Leadership Path: Show us your passion and skills, and you could move into a core founding team member role, shaping our future trajectory. Interested? Send over your résumé, GitHub repos, or any project links that showcase your passion and talent. We can’t wait to see how you think, build, and innovate. Let’s team up to create AI that isn’t just powerful—but also responsibly built for everyone.

Greetings ! One our our client TOP MNC Giant looking for GEN AI and Machine Learning Engineer's Important Notes: Please share only those profiles who can join immediately or within 7 days. Base Locations: Gurgaon and Bengaluru (hybrid setup 3 days work from office). Role : Associate and Sr Associate L1/L2 (Multiple Positions) SKILLS :  Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field.  Experience on Agentic AI/ Frameworks  Strong programming skills in languages such as Python, SQL/NoSQL etc.  Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms  Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc.  Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.  Knowledge of math, probability, and statistics.  Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.  Exposure in developing API using Flask/Django.  Good experience in cloud infrastructure such as AWS, Azure or GCP  Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model) GOOD TO HAVE : Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in Flask/Django is a bonus RESPONSIBILITIES : Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.  Develop, implement, and deploy AI/ML solutions.  Preprocess and analyze large datasets to identify patterns, trends, and insights.  Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.  Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.  Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.  Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement. INTERESTED CANDIDATES PERFECT MATCH TO THE JD AND WHO CAN JOIN ASAP ONLY DO APPLY ALONG WITH BELOW MENTIONED DETAILS : Total exp : Relevant exp in AI/ ML : Applying for Gurgaon and Bengaluru : Open for Hybrid : Current CTC : Expected CTC : Can join ASAP : Will call you once we receive your updated profile along with above mentioned details. Thanks, Venkat Solti solti.v@anlage.co.in

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Position Summary As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Job Title: Sr. Consultant- Data Scientist Key Responsibilities Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments Required Skills And Qualifications Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). Generative AI: Experience with generative models such as GANs, VAEs or Transformers. Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. Strong Analytical Skills: Ability to translate complex data into actionable insights. Communication: Excellent written and verbal communication skills Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure 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. 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 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. Experience in python and pyspark will be added advantage 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 Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . 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. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred Technical And Professional Experience Pyspark, SQL, Python Job Description : Classical ML Model (either machine learning or deep learning) building experience with feature creation (not PoC experience)" Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

Job Title: Manager – Senior ML Engineer (Full Stack) About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Summary : The Manager – Senior ML Engineer (Full Stack) will be responsible for leading the development and integration of Generative AI (GenAI) technologies, writing code modules, and managing full-stack development projects. The ideal candidate will have a strong background in Python and a proven track record in machine learning and full-stack development. Required Skills Strong proficiency in Python programming. Experience with data analysis and visualization libraries like Pandas, NumPy, Matplotlib, and Seaborn. Proven experience in machine learning and AI development. Experience with Generative AI (GenAI) development and integration. Full-stack development experience, including front-end and back-end technologies. Proficiency in web development frameworks such as Django or Flask. Knowledge of machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn. Experience with RESTful APIs and web services integration. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Proficiency in writing unit tests and using debugging tools. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Key Responsibilities Lead the development and integration of Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Oversee full-stack development projects, ensuring seamless integration and optimal performance. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers and engineers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Troubleshoot and resolve technical issues in a timely manner. Qualifications Bachelor’s degree in computer science or an Engineering degree Minimum of 7 years of experience in machine learning engineering or a similar role. Demonstrated experience in managing technology projects from inception to completion.

Position Summary... What you'll do... Walmart’s Enterprise Business Services (EBS) is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is EBS. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. Enterprise Business Services (EBS) is seeking a highly skilled and experienced Senior Software Engineer at IDC for the Corporate Affairs Technology team. As a engineer specializing in Full stack Technologies with AI/ML, you will lead the development and deployment of Fullstack and AI/ML driven products; playing an important role in a team of software engineers and collaborate with product leaders to drive innovation. About Team: As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve Corporate Affairs technology and products to help Suppliers and associates so they can focus on what matters most. Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes technology solutions for Corporate Affairs, Transaction & Risk Technology, Finance, People, and the Associate Digital Experience. What you will do: We are looking for a Senior Software Engineer who has the passion to develop Fullstack AI driven intelligent products for the Corporate Affairs domain, with the ability to influence partner teams, data scientists, ML engineers, product managers and software developers. A successful candidate will have an established expertise in Fullstack applications with hands-on AI, ML experience in driving technical products, Full stack developer, and a passion for great customer-centric products. 5+ years of object-oriented programming experience in Java, Spring boot, Microservices, React, NestJS, Node. Good understanding of Data Structures 4+ years of experience in systems design, algorithms, and distributed systems. Have programming experience preferably in the Finance/ retail / ecommerce industry. Python knowledge would be an added advantage Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions Design, architect, build AI/ML models, AI Agents and deploy, operate, optimize the solutions Good to have hands on experience on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic Frameworks like Pydantic Experience working in Agile Methodology Experience using CI/CD, tools for logging and metrics A continuous drive to explore, improve, enhance, automate and optimize systems and tools. Strong computer science fundamentals in data structures and algorithms Exposure to information retrieval, statistics, and machine learning. Excellent oral and written communication skills. Good analytical and problem-solving skills Additional Job Description Innovation and Research: Stay at the forefront of technological advancements, conducting research to identify emerging tools and methodologies. Collaborative Communication: Communicate complex technical concepts effectively to both technical and non-technical stakeholders, promoting a culture of open communication and collaboration. What you'll bring: You have 5+ years' experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric Fullstack/GenAI /AI /ML products and applications You have a bachelor's/master's degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area You can communicate internally and externally through publications, presentations, and other mediums on research progress, major breakthroughs, and product innovation. You have experience at writing high-performing production-quality code in Python You have experience in working with end-to-end CI/CD pipelines You are thorough, meticulous and detail oriented You believe in the importance of establishing work standards and leveraging automations You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 3years’ experience in software engineering or related area at a technology, retail, or data-driven company. Option 2: 5 years’ experience in software engineering or related area at a technology, retail, or data-driven company. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Certification in Security+, GISF, CISSP, CCSP, or GSEC, Master’s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year’s experience leading information security or cybersecurity projects Information Technology - CISCO Certification - Certification Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2241494