9723 Tensorflow Jobs - Page 17

About the Company 6thStreet.com is an omnichannel fashion & lifestyle destination that offers 1400+ fashion & beauty brands in the UAE, KSA, Kuwait, Oman, Bahrain & Qatar. Customers can shop the latest on-trend outfits, shoes, bags, beauty essentials and accessories from international brands such as Tommy Hilfiger, Calvin Klein, Hugo, Marks & Spencers, Dune London, Charles & Keith, Aldo, Crocs, Birkenstock, Skechers, Levi’s, Nike, Adidas, Loreal and Inglot amongst many more. 6thStreet.com recently opened GCC’s first phygital store at Dubai Hills Mall; an innovative tech-led space which combines the best of both online & offline shopping with online browsing & smart fitting rooms. Overview The ML Engineer will extract insights and build models that will drive key business decisions. The candidate will work closely with other data scientists, software engineers and product managers to design, build, optimize and deploy machine learning systems and solutions. This role is ideal for someone with a strong analytical mindset, a passion for data, and a desire to grow in a fast-paced e-commerce environment. Necessary Skills Python: Proficiency in python, with knowledge of popular libraries like pandas, numpy, scipy, scikit-learn, tensorflow, pytorch SQL: Strong ability to write and optimize complex SQL queries to extract and manipulate large datasets from relational databases Data Analysis & Visualization: Ability to work with large datasets and extract meaningful insights and able to leverage data visualization tools and libraries Data Wrangling & Preprocessing: Expertise in cleaning and transforming raw data into structured formats Statistical Analysis: A solid understanding of descriptive and inferential statistics, including hypothesis testing and probability theory Machine Learning & Deep Learning: Familiarity with supervised and unsupervised learning algorithms such as regression, tree based methods, clustering, boosting and bagging methodologies Machine learning workflows: feature engineering, model training, model optimization , validation and evaluation ML Deployment: Deploying machine learning models to production environments, ensuring they meet the scalability, reliability, and performance requirements DevOps: Git, CI/CD pipelines, dockerization, model versioning (mlflow), monitoring platforms Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud or Azure for deploying models Problem-Solving & Analytical Thinking: Ability to approach complex problems methodically and implement robust solutions Collaboration & Communication: Strong ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders. Adaptability & Learning: Willingness to quickly learn new tools, technologies, and algorithms Attention to Detail: Ability to carefully test and validate models, ensuring they work as intended in production Good to have: Familiarity with big data technologies such as Spark or Hadoop Object-oriented programming (OOP) Knowledge of data privacy and security practices when working with sensitive data Experience working with big data tools (e.g., Apache Kafka, Apache Flink) for streaming data processing Familiarity with feature stores like Feast Experience working with e-commerce data Responsibilities Design and implement machine learning models, algorithms, and systems Build and maintain end-to-end machine learning pipelines- model training, validation, and deployment Experiment with different algorithms and approaches to optimize model performance Collaborate with software engineers, product managers, analysts to build scalable, production-ready solutions Communicate complex technical concepts to non-technical stakeholders Stay updated with the latest advancements in machine learning and deep learning. Evaluate and experiment with new tools, libraries, and algorithms that could improve model performance Collaborate on proof-of-concept (POC) projects to validate new approaches and techniques Benefits Full-time role Competitive salary Company employee discounts across all brands Medical & health insurance Collaborative work environment Good vibes work culture Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in quantitative analytics or data modeling and development Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL)

Location: Vadodara Company: Sharedpro Technology Pvt Ltd About the Role Sharedpro is seeking a skilled Backend Developer with strong expertise in Java or Python , and hands-on experience working with AI tools and frameworks. The ideal candidate will be responsible for building scalable backend systems, integrating AI-driven modules, and collaborating with cross-functional teams to deliver intelligent applications. Eligibility : Only candidates based in Vadodara or nearby locations will be considered. Key Responsibilities Design, develop, and maintain robust backend systems using Java or Python and related frameworks such as Spring Boot, Flask, or Django. Integrate with AI models, APIs, and tools to enable intelligent features within products. Build RESTful APIs and data pipelines to support ML/AI applications. Optimize performance, scalability, and security of backend infrastructure. Work closely with AI/ML teams to implement model inference, deployment, and monitoring workflows. Write clean, modular, and well-tested code following best practices. Collaborate with frontend developers, product managers, and data engineers. Required Skills & Experience Minimum 2 years of backend development experience with Java or Python. Hands-on experience with AI/ML tools, model integration, or inference engines (e.g., Hugging Face, OpenAI, TensorFlow, LangChain). Strong understanding of REST APIs, JSON, and asynchronous programming. Experience with relational or NoSQL databases (e.g., MySQL, MongoDB). Familiarity with Docker, Git, and CI/CD pipelines. Basic knowledge of cloud platforms such as AWS, GCP, or Azure. Preferred Qualifications Exposure to large language model APIs (e.g., OpenAI, Cohere, Claude). Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS). Understanding of microservices architecture and API gateway implementations. To apply, submit your resume or reach out to the Sharedpro hiring team for more details.

By submitting your email address and any other personal information to this website, you consent to such information being collected, held, used and disclosed in accordance with our PRIVACY POLICY and our website TERMS AND CONDITIONS OUR STORY: At ContractPodAi, we're pioneering the future of legal with Leah—the operating system for legal. Leah Agentic AI coordinates specialized AI agents across Leah’s suite of solutions, including industry-leading Contract Lifecycle Management (CLM), to transform how legal teams work and create value. Leah doesn't just automate tasks—it uncovers hidden opportunities and transforms legal knowledge into business advantage. Our platform breaks down silos between legal, business, and executive teams, helping organizations discover revenue opportunities, minimize risks, and turn legal insights into strategic decisions. We know innovation happens when great people come together to solve business problems. ContractPodAi is a fast-growing team of innovators spread across London, New York, Glasgow, San Francisco, Toronto, Dubai, Sydney, Mumbai, Pune, and beyond. Here, you'll: • Pioneer the future of legal AI and business transformation • Make real impact by helping organizations unlock hidden value • Collaborate with talented colleagues across continents. If you're excited by cutting-edge technology, thrive in a fast-paced environment, and want to help build something revolutionary, we want to hear from you. THE OPPORTUNITY We are seeking an experienced AI Engineer to join our growing team at ContractPodAi. In this role, you will design, develop, and deploy intelligent systems that power next-generation features in our contract lifecycle management (CLM) platform. You will work at the intersection of machine learning, software engineering, and agentic AI to create autonomous, goal-driven agents capable of reasoning, learning, and acting in dynamic environments. This is your opportunity to play a pivotal role in advancing the capabilities of legal tech with powerful agent-based systems built on the latest advancements in large language models, reinforcement learning, and autonomous AI frameworks. WHAT YOU WILL DO: Architect and implement scalable agentic AI systems that autonomously execute complex workflows and reason over legal data. Research, prototype, and productionize ML/DL models, especially in natural language processing and understanding (NLP/NLU). Build and deploy intelligent legal agents that can interpret documents, make decisions, and collaborate with users or other agents to complete multi-step tasks. Utilize modern frameworks and platforms (e.g., LangChain, LangGraph AutoGen, OpenAI Function Calling, Semantic Kernel) to build multi-agent workflows. Fine-tune and integrate large language models (LLMs) using PEFT, LoRA, and RAG techniques tailored to legal domain challenges. Design and implement robust infrastructure for managing AI lifecycle, including training, inference, monitoring, and continuous learning. Collaborate with legal experts, product managers, and engineering teams to create explainable and trustworthy AI systems. Contribute to the development of our AI strategy for agent-based automation within legal operations and contract management. WHAT YOU WILL NEED: 4+ Years of experience and a strong background in computer science, software engineering, or data science with a deep focus on machine learning and NLP. Demonstrated experience building or integrating agentic AI systems (e.g., AutoGPT-style agents, goal-oriented LLM pipelines, multi-agent frameworks). Proficiency in Python and ML/NLP libraries such as HuggingFace Transformers, LangChain, PyTorch, TensorFlow, and Spacy. Experience developing and scaling ML models (including LSTMs, BERT, Transformers) for real-world applications. Understanding of LLM training (e.g., OpenAI, LLAMA, Falcon), embeddings, and prompt engineering. Hands-on experience with Reinforcement Learning (e.g., PPO, RLHF, RLAIF). Experience extracting text and semantic information from structured and unstructured documents (PDFs, Images, etc.). Comfort working in Agile/Scrum environments and collaborating across cross-functional teams. Passion for innovation in AI and a strong desire to build autonomous systems that solve complex, real-world problems. BENEFITS: Competitive salary Opportunity to work in a fast-moving, high growth SaaS company Paid Time off Generous Employee Referral program At ContractPodAi we believe in creating a diverse and inclusive workplace where everyone feels heard and valued. We are proud to be an Equal Opportunity Employer. We do not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Job title: Generative AI Architect Location: Remote Type: Full-Time AI/ML & Generative AI Architect Job Summary: We are seeking a highly skilled and motivated AI/ML & Generative AI Architect to join our growing team. This role requires deep expertise in artificial intelligence and machine learning with a particular focus on Generative AI, LLMs, NLP , and Recommendation & Predictive Modelling . The ideal candidate will have experience developing innovative AI solutions using modern frameworks and cloud-based tools, working across cross-functional teams, and delivering high-impact AI/ML applications for diverse industries. Key Responsibilities: Design, develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms. Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy , and scikit-learn . Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers . Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain , LlamaIndex , and vector databases like FAISS and Milvus . Integrate and manage LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock). Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework , or FastAPI . Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring. Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements. Maintain and enhance data infrastructure for collecting, cleaning, and analyzing large-scale datasets. Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders. Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value. Demonstrate innovation in Private AI and Smart Agent Solutions , ensuring data privacy and intelligent automation. Stay current with trends and advancements in AI, GenAI, LLMs, and related fields. Minimum Qualifications: 5+ years of experience using Python and relevant packages for ML and data science. 3+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions 10+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Integrations System Design and architecture AI/ML ML Ops Strong understanding of LLM technologies , embedding models , cloud-based AI services , and AI/ML operations . Hands-on experience with cloud-based AI platforms , including Azure OpenAI , Google Vertex Gen AI , and AWS AI services . Soft Skills: Strong problem-solving skills and critical thinking. Effective communicator capable of translating complex AI topics to stakeholders. Self-driven, collaborative, and adaptable to fast-paced environments.

We are seeking a visionary AI Architect to lead the design and integration of cutting-edge AI systems, including Generative AI , Large Language Models (LLMs) , multi-agent orchestration , and retrieval-augmented generation (RAG) frameworks. This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure, along with hands-on experience in building scalable, production-grade AI systems on the cloud. The ideal candidate combines architectural leadership with hands-on proficiency in modern AI frameworks, and can translate complex business goals into innovative, AI-driven technical solutions. Primary Stack & Tools: Languages : Python, SQL, Bash ML/AI Frameworks : PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers GenAI & LLM Tooling : OpenAI APIs, LangChain, LlamaIndex, Cohere, Claude, Azure OpenAI Agentic & Multi-Agent Frameworks : LangGraph, CrewAI, Agno, AutoGen Search & Retrieval : FAISS, Pinecone, Weaviate, Elasticsearch Cloud Platforms : AWS, GCP, Azure (preferred: Vertex AI, SageMaker, Bedrock) MLOps & DevOps : MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines, Terraform, FAST API Data Tools : Snowflake, BigQuery, Spark, Airflow Key Responsibilities: Architect scalable and secure AI systems leveraging LLMs , GenAI , and multi-agent frameworks to support diverse enterprise use cases (e.g., automation, personalization, intelligent search). Design and oversee implementation of retrieval-augmented generation (RAG) pipelines integrating vector databases, LLMs, and proprietary knowledge bases. Build robust agentic workflows using tools like LangGraph , CrewAI , or Agno , enabling autonomous task execution, planning, memory, and tool use. Collaborate with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps. Define and enforce AI/ML infrastructure best practices , including security, scalability, observability, and model governance. Manage technical road-map, sprint cadence, and 3–5 AI engineers; coach on best practices. Lead AI solution design reviews and ensure alignment with compliance, ethics, and responsible AI standards. Evaluate emerging GenAI & agentic tools; run proofs-of-concept and guide build-vs-buy decisions. Qualifications: 10+ years of experience in AI/ML engineering or data science, with 3+ years in AI architecture or system design. Proven experience designing and deploying LLM-based solutions at scale, including fine-tuning , prompt engineering , and RAG-based systems . Strong understanding of agentic AI design principles , multi-agent orchestration , and tool-augmented LLMs . Proficiency with cloud-native ML/AI services and infrastructure design across AWS, GCP, or Azure. Deep expertise in model lifecycle management, MLOps, and deployment workflows (batch, real-time, streaming). Familiarity with data governance , AI ethics , and security considerations in production-grade systems. Excellent communication and leadership skills, with the ability to influence technical and business stakeholders.

Position: AI Developer Experience: 5+ Years Time Zone: Europe (Remote) Key Skills: Languages/Cloud: Python, AWS Lambda, AWS Bedrock Prompt Engineering: Advanced techniques (few-shot, zero-shot, CoT) Generative AI: GPT, BERT, Hugging Face, AWS Bedrock Agentic AI & RL: Basic frameworks, OpenAI Gym Responsible AI: SHAP, LIME, fairness & privacy practices Deployment & MLOps: AWS Lambda/SageMaker, MLflow, model versioning Frameworks: PyTorch, TensorFlow (basic level) Data & CI/CD: EDA, feature engineering, Docker, Git workflows Responsibilities: Design optimized prompts for LLMs Build and deploy generative AI apps Work on RL-based prototypes and ethical AI practices Deploy using AWS services and support MLOps pipelines

At Airtel , we’re not just scaling connectivity—we’re redefining how India experiences digital services. With 400M+ customers across telecom, financial services, and entertainment, our impact is massive. But behind every experience is an opportunity to make it smarter . We're looking for a Product Manager – AI to drive next-gen intelligence for our customers and business. AI is a transformational technology and we are looking or skilled product managers who will work on leveraging AI to power everything from our digital platforms to customer experience. You’ll work at the intersection of machine learning, product design, and systems thinking to deliver AI-driven products that create tangible business impact—fast. What You’ll Do Lead and contribute to AI-Powered Product Strategy Define product vision and strategy for AI-led initiatives that enhance productivity, automate decisions, and personalise user interactions across Airtel platforms. Translate Business Problems into AI Opportunities Partner with operations, engineering, and data science to surface high-leverage AI use cases across workforce management, customer experience, and process automation. Build & Scale ML-Driven Products Define data product requirements, work closely with ML engineers to develop models, and integrate intelligent workflows that continuously learn and adapt. Own Product Execution End-to-End Drive roadmaps, lead cross-functional teams, launch MVPs, iterate based on real-world feedback, and scale solutions with measurable ROI. What You Need to be Successful Influential Communication - Craft clarity from complexity. You can tailor messages for execs, engineers, and field teams alike—translating AI into business value. Strategic Prioritisation - Balance business urgency with technical feasibility. You can decide what not to build, and defend those decisions with data and a narrative Systems Thinking - You can sees the big picture —how decisions in one area ripple across the business, tech stack, and user experience. High Ownership & Accountability - Operate with a founder mindset. You don't wait for direction — you can rally teams, removes blockers, deal with tough stakeholders and drives outcomes. Adaptability - You thrive in ambiguity and pivot quickly without losing sight of long-term vision—key in fast-moving digital organizations. Skills You'll Need AI / ML Fundamentals Understanding of ML model types: Supervised, unsupervised, reinforcement learning Common algorithms: Linear/logistic regression, decision trees, clustering, neural networks Model lifecycle: Training, validation, testing, tuning, deployment, monitoring Understanding of LLMs, transformers, diffusion models, vector search, etc. Familiarity with GenAI product architecture: Retrieval-Augmented Generation (RAG), prompt tuning, fine-tuning Awareness of real-time personalization, recommendation systems, ranking algorithms, etc Data Fluency Understanding Data pipelines Working knowledge of SQL and Python for analysis Understanding of data annotation, labeling, and versioning Ability to define data requirements and assess data readiness AI Product Development Defining ML problem scope: Classification vs. regression vs. ranking vs. generation Model evaluation metrics: Precision, recall, etc. A/B testing & online experimentation for ML-driven experiences ML Infrastructure Awareness Know what it takes to make things work and happen. Model deployment techniques: Batch vs real-time inference, APIs, model serving Monitoring & drift detection: How to ensure models continue performing over time Familiarity with ML platforms/tools: TensorFlow, PyTorch, Hugging Face, Vertex AI, SageMaker, etc. (at a product level) Understanding latency, cost, and resource implications of ML choices AI Ethics & Safety We care deeply about our customers, their privacy and compliance to regulation. Understand Bias and fairness in models: How to detect and mitigate them Explainability & transparency: Importance for user trust and regulation Privacy & security: Understanding implications of sensitive or PII data in AI Alignment and guardrails in generative AI systems Preferred Qualifications Experienced Machine Learning/Artificial Intelligence PMs Experience building 0-1 products, scaled platforms/ecosystem products, or ecommerce Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics Masters degree in Business Why Airtel Digital? Massive Scale : Your products will impact 400M+ users across sectors Real-World Relevance : Solve meaningful problems for our customers — protecting our customers, spam & fraud prevention, personalised experiences, connecting homes. Agility Meets Ambition : Work like a startup with the resources of a telecom giant AI That Ships : We don’t just run experiments. We deploy models and measure real-world outcomes Leadership Access : Collaborate closely with CXOs and gain mentorship from India’s top product and tech leaders

As a Lead Technical Architect with a focus on AI/ML technologies, you will leverage your 14+ years of experience in software development and architecture to drive innovation and lead the design of cutting-edge AI projects for a key client. You will collaborate with industry experts, provide strategic technical direction, and ensure architectural consistency, scalability, and security across multiple teams. Your key responsibilities will include leading the design and development of large-scale AI projects, aligning technology strategies with business objectives, and driving the adoption of cutting-edge AI technologies and best practices. You will need to have a Bachelor's or Masters degree in Computer Science or related field, proficiency in languages such as Python, Java, C#, JavaScript, and strong knowledge of AI/ML frameworks and cloud platforms. Joining our team will offer you a dynamic and supportive work environment where your contributions will shape the future of AI technologies. You will have the opportunity to collaborate with industry experts, drive transformative projects, and enjoy competitive compensation and flexible work arrangements. If you are passionate about AI technologies and leadership, we encourage you to apply for this exciting opportunity.,

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Education: Bachelor's (Required) Experience: Teaching / Mentoring: 1 year (Required) AIML : 1 year (Required) Data science: 1 year (Preferred) Location: Varachha, Surat, Gujarat (Required) Work Location: In person

Job Title: Senior Data Scientist – AI/ML Location: Chennai (Onsite – Fulltime) Experience: 8+ Years (Minimum 4+ Years in AI/ML) Availability: Immediate Joiners Only Job Description: We are seeking a highly skilled and experienced Senior Data Scientist to join our team in Chennai for a full-time onsite role. The ideal candidate will have a strong background in data science with 8+ years of overall experience , including 4+ years of hands-on expertise in AI/ML , and a proven ability to deliver end-to-end data-driven solutions in real-world business settings. Key Responsibilities: Design, develop, and deploy advanced machine learning and AI models for real-world use cases Lead the development of data pipelines, feature engineering, and model performance tuning Translate complex business problems into analytical solutions using statistical, machine learning, and deep learning techniques Collaborate with cross-functional teams including data engineers, software developers, and domain experts Analyze large structured and unstructured datasets to extract actionable insights Present findings and recommendations to stakeholders in a clear and compelling manner Stay up to date with the latest advancements in AI, ML, and data science tools/technologies Key Requirements: Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or a related field 8+ years of experience in Data Science, with 4+ years specifically in AI/ML model development and deployment Strong expertise in Python and popular data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) Experience in end-to-end model lifecycle: data collection, preprocessing, modeling, deployment, and monitoring Proven experience with real-world AI/ML applications such as NLP, computer vision, recommendation systems, or predictive analytics Good understanding of MLOps, model versioning, and reproducibility practices Strong problem-solving skills, attention to detail, and the ability to work independently Excellent communication and stakeholder management skills Nice to Have: Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with big data tools (Spark, Hadoop) Knowledge of data visualization tools (Tableau, Power BI, Plotly) Note: Only immediate joiners (or with less than 15 days' notice) will be considered for this position.

As a Senior Data Engineer at our Bangalore office, you will play a crucial role in developing data pipeline solutions to meet business data needs. Your responsibilities will involve designing, implementing, and maintaining structured and semi-structured data models, utilizing Python and SQL for data collection, enrichment, and cleansing. Additionally, you will create data APIs in Python Flask containers, leverage AI for analytics, and build data visualizations and dashboards using Tableau. Your expertise in infrastructure as code (Terraform) and executing automated deployment processes will be vital for optimizing solutions for costs and performance. You will collaborate with business analysts to gather stakeholder requirements and translate them into detailed technical specifications. Furthermore, you will be expected to stay updated on the latest technical advancements, particularly in the field of GenAI, and recommend changes based on the evolving landscape of Data Engineering and AI. Your ability to embrace change, share knowledge with team members, and continuously learn will be essential for success in this role. To qualify for this position, you should have at least 5 years of experience in data engineering, with a focus on Python programming, data pipeline development, and API design. Proficiency in SQL, hands-on experience with Docker, and familiarity with various relational and NoSQL databases are required. Strong knowledge of data warehousing concepts, ETL processes, and data modeling techniques is crucial, along with excellent problem-solving skills and attention to detail. Experience with cloud-based data storage and processing platforms like AWS, GCP, or Azure is preferred. Bonus skills such as being a GenAI prompt engineer, proficiency in Machine Learning technologies like TensorFlow or PyTorch, knowledge of big data technologies, and experience with data visualization tools like Tableau, Power BI, or Looker will be advantageous. Familiarity with Pandas, Spacy, NLP libraries, agile development methodologies, and optimizing data pipelines for costs and performance are also desirable. Effective communication and collaboration skills in English are essential for interacting with technical and non-technical stakeholders. You should be able to translate complex ideas into simple examples to ensure clear understanding among team members. A bachelor's degree in computer science, IT, engineering, or a related field is required, along with relevant certifications in BI, AI, data engineering, or data visualization tools. The role will be based at The Leela Office on Airport Road, Kodihalli, Bangalore, with a hybrid work schedule allowing you to work from the office on Tuesdays, Wednesdays, Thursdays, and from home on Mondays and Fridays. If you are passionate about turning complex data into valuable insights and have experience in mentoring junior members and collaborating with peers, we encourage you to apply for this exciting opportunity.,

The Data Science & Analysis team in India is looking for a skilled professional to join our dynamic team. As a member of our team, you will be responsible for designing, training, and fine-tuning advanced foundational models such as text, audio, and vision using healthcare and other relevant datasets. Your focus will be on accuracy and context relevance to ensure the efficiency of our solutions. Collaboration with cross-functional teams including Business, engineering, and IT is key in seamlessly integrating AI/ML technologies into our solution offerings. You will also play a crucial role in deploying, monitoring, and managing AI models in a production environment, ensuring high availability, scalability, and performance. Staying updated with the latest advancements in AI/ML and industry trends is essential to drive innovation within the team. Adherence to industry standards and regulatory requirements, such as HIPAA, is paramount in developing AI solutions. You will be responsible for developing and maintaining comprehensive documentation for AI models, providing technical guidance and mentorship to junior AI engineers, and collaborating with stakeholders to understand and translate business needs into technical requirements. To be successful in this role, you should hold a Bachelors or Masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field. With a minimum of 10 years of industry experience, including at least 5 years of hands-on experience in AI/ML, you should have a strong proficiency in Python and familiarity with popular AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Experience in deploying and managing AI models in production environments, expertise in serving and inference frameworks, and practical experience in Voice AI applications are desirable skills. Additionally, familiarity with healthcare data standards, regulatory compliance, cloud computing platforms, and containerization technologies will be beneficial in this role. If you have experience with federated learning, privacy-preserving AI techniques, synthetic data generation for healthcare model training, and knowledge of healthcare, it would be considered a plus. Your ability to evaluate and select GenAI models based on performance, cost, and compliance factors will be highly valued. Guidehouse offers a comprehensive total rewards package including competitive compensation and flexible benefits. We are an Equal Opportunity Employer and encourage individuals with diverse backgrounds to apply. If you require accommodation during the application process, please contact Guidehouse Recruiting for assistance. Join us at Guidehouse and be a part of a team that values innovation, collaboration, and diversity in a supportive workplace environment.,

Job Information Date Opened 07/31/2025 Job Type Full time Work Experience 5+ years Industry Technology City Hyderabad State/Province Telangana Country India Zip/Postal Code 500032 Job Description About Kanerika: Who we are: Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Kanerika has won several awards over the years, including: CMMI Level 3 Appraised in 2024. Best Place to Work 2022 & 2023 by Great Place to Work®. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today. NASSCOM Emerge 50 Award in 2014. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture. Recognized for ISO 27701, 27001, SOC2, and GDPR compliances. Featured as Top Data Analytics Services Provider by GoodFirms. Working for us Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika. Locations We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India). Job Location: Hyderabad, Indore and Ahmedabad (India) Requirements Key Responsibilities: Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability. Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments. Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. - Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. Experience in Agile development methodologies. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges. Benefits Employee Benefits 1. Culture: a. Open Door Policy: Encourages open communication and accessibility to management. b. Open Office Floor Plan: Fosters a collaborative and interactive work environment. c. Flexible Working Hours: Allows employees to have flexibility in their work schedules. d. Employee Referral Bonus: Rewards employees for referring qualified candidates. e. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. 2. Inclusivity and Diversity: a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. b. Mandatory POSH training: Promotes a safe and respectful work environment. 3. Health Insurance and Wellness Benefits: a. GMC and Term Insurance: Offers medical coverage and financial protection. b. Health Insurance: Provides coverage for medical expenses. c. Disability Insurance: Offers financial support in case of disability. 4. Child Care & Parental Leave Benefits: a. Company-sponsored family events: Creates opportunities for employees and their families to bond. b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. 5. Perks and Time-Off Benefits: a. Company-sponsored outings: Organizes recreational activities for employees. b. Gratuity: Provides a monetary benefit as a token of appreciation. c. Provident Fund: Helps employees save for retirement. d. Generous PTO: Offers more than the industry standard for paid time off. e. Paid sick days: Allows employees to take paid time off when they are unwell. f. Paid holidays: Gives employees paid time off for designated holidays. g. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. 6. Professional Development Benefits: a. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. b. Mentorship Program: Offers guidance and support from experienced professionals. c. Job Training: Provides training to enhance job-related skills. d. Professional Certification Reimbursements: Assists employees in obtaining professional certifications. e. Promote from Within: Encourages internal growth and advancement opportunities.

As a Senior Data Scientist, you will utilize your expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to design, develop, and deploy advanced AI/ML models. Your role will involve solving complex business problems by building, training, and optimizing AI models using Python and relevant ML frameworks. You will implement Azure AI/ML services for scalable deployment and integrate APIs for real-time model inference. Working with large-scale data, you will extract insights to drive strategic initiatives and collaborate with cross-functional teams to integrate AI/ML solutions into applications. Your responsibilities will include designing and developing ML, NLP, and GenAI models, implementing Azure AI/ML services, developing APIs for model deployment, and working with large-scale data to extract insights. You will collaborate with cross-functional teams, implement CI/CD pipelines, ensure adherence to software engineering best practices, stay updated on AI/ML advancements, conduct research on emerging trends, provide technical mentorship, and optimize model performance in a production environment. To excel in this role, you must have proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn, hands-on experience in NLP techniques, expertise in Generative AI models, knowledge of Azure AI/ML services, and experience in developing APIs for model deployment. Familiarity with CI/CD pipelines, software engineering principles, Agile methodologies, statistical analysis, data mining, and data visualization is essential. Preferred qualifications include experience in MLOps, knowledge of vector databases, and exposure to big data processing frameworks. Joining our team as a Senior Data Scientist will offer you a full-time or part-time permanent position with benefits such as health insurance and provident fund. You will work day shifts from Monday to Friday with weekend availability and have the opportunity for performance bonuses. With a minimum of 8 years of experience in Python, Azure AI/ML services, and Senior Data Scientist roles, you will contribute to innovative solutions and drive data-driven decision-making in a collaborative environment.,

We are looking for a highly skilled and experienced Senior AI Engineer to take charge of designing, developing, and implementing cutting-edge AI systems. Your role will involve working on advanced machine learning models, natural language processing, computer vision, and AI infrastructure to address real-world challenges and foster innovation across our products and services. As a Senior AI Engineer, your key responsibilities will include designing, developing, and deploying scalable AI/ML models for production environments. You will lead end-to-end AI project lifecycles, starting from data collection and preprocessing to model training, evaluation, and deployment. Collaboration with cross-functional teams comprising data scientists, software engineers, and product managers will be essential. Moreover, you will be tasked with optimizing model performance to ensure robustness, fairness, and explainability, while staying abreast of the latest AI and machine learning research and advancements. Mentoring junior engineers and contributing to the establishment of a robust AI engineering culture will also be part of your role. The ideal candidate should possess a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred) along with a minimum of 5 years of experience in AI/ML engineering, showcasing a strong portfolio of deployed models. Proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc., as well as experience with cloud platforms (AWS, Azure) and MLOps tools are required. A solid grasp of data structures, algorithms, and software engineering principles is crucial, along with excellent problem-solving and communication skills. Preferred qualifications for this role include experience with LLMs, RAG, or agentic AI (Crew AI) systems, familiarity with vector databases, prompt engineering, and AI safety practices, contributions to open-source AI projects or published research papers, and experience with real-time inference systems and edge AI.,

As a Backend + ML Engineer at our company, you will be responsible for building scalable APIs, managing secure patient data flow, and supporting AI model integration. Your role will involve collaborating with AI engineers, front-end developers, and field researchers to operationalize models for real-time use, particularly on edge devices. Your key responsibilities will include designing and developing robust backend systems to handle real-time patient data and ML outputs, integrating machine learning models with APIs and the main O-Health app, optimizing model serving pipelines, managing data pipelines for de-identified OPD datasets, implementing data encryption and anonymization, setting up backend support for multilingual voice and text processing, and supporting versioning and A/B testing of health algorithms. To excel in this role, you should have expertise in Backend Engineering, including strong proficiency in Python with frameworks like FastAPI, Flask, or Django, experience with RESTful APIs, WebSockets, and asynchronous data flows, familiarity with databases such as PostgreSQL, MongoDB, or time-series databases, and working knowledge of Docker, Git, and CI/CD pipelines. Additionally, you should possess skills in Machine Learning Ops, such as hands-on experience with PyTorch, Scikit-learn, or TensorFlow, model optimization, quantization, and edge deployment formats, familiarity with language models and multilingual NLP, and knowledge of data preprocessing and feature engineering for clinical/NLP tasks. Preferred skills for this role include an understanding of HIPAA/GDPR compliance and experience working on healthcare, social impact, or AI-for-good projects. In this position, you will have a significant impact on connecting machine learning research with field-ready healthcare tools, scaling diagnosis support systems to underserved patients, and enabling multilingual health consultations in real-time. Join us in making a difference in the healthcare industry and contributing to the improvement of patient care.,

As a Computer Vision Architect with 10-15 years of experience, you will be responsible for leading the development of advanced computer vision systems. Your role will involve managing dataset generation, improving image processing techniques, and overseeing model training and pattern recognition projects. You must be proficient in Python and related libraries such as OpenCV, TensorFlow, and PyTorch, with a solid understanding of linear algebra, calculus, and statistics. Your key responsibilities will include leading the computer vision team, providing mentorship and guidance to junior members, developing and implementing strategies for advanced computer vision projects, and collaborating with cross-functional teams to integrate computer vision solutions into products. You will design, develop, and optimize models for image classification, object detection, and segmentation. Additionally, you will innovate and implement state-of-the-art algorithms and techniques for pattern recognition and face detection. In terms of dataset generation and image processing, you will oversee the creation and management of large-scale datasets for training and evaluation. You will also enhance image processing pipelines, focusing on techniques like noise reduction and data compression. As part of model training and evaluation, you will lead the end-to-end process of model training, validation, and deployment. You will utilize Python and relevant libraries (OpenCV, TensorFlow, PyTorch) for model development and training, ensuring models meet accuracy and performance standards through rigorous testing and iteration. Your technical expertise will be crucial in applying strong mathematical foundations in linear algebra, calculus, and statistics to solve complex computer vision problems. It is important to stay updated with the latest research and advancements in the fields of computer vision and machine learning. In terms of project management, you will be responsible for managing multiple projects simultaneously, ensuring timely delivery and adherence to project requirements. Effective communication of progress, challenges, and results to stakeholders is key. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Electrical Engineering, Mathematics, or a related field. You should have a proven track record of leading successful computer vision projects and possess excellent problem-solving skills, attention to detail, and strong communication and collaboration skills. Preferred qualifications include publications or patents in the field of computer vision, experience with edge computing and real-time image processing, and familiarity with other programming languages and frameworks related to AI and machine learning.,

You should have 3-5 years of experience in writing and debugging intermediate to advance level Python code with a good understanding of concepts related to OOPS, APIs, and SQL Databases. Additionally, you should possess a strong grasp of fundamental basics of Generative AI, large language models (LLMs) pipelines like RAG, Open AI GPT models, and experience in NLP and Langchain. It is essential to be familiar with the AWS environment and services like S3, lambda, Step Functions, CloudWatch, etc. You should also have excellent analytical and problem-solving skills and be capable of working independently as well as collaboratively in a team-oriented environment. An analytical mind and business acumen are also important qualities for this role. You should demonstrate the ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains. It would be beneficial to have familiarity with Python libraries and frameworks such as Pandas, Scikit-learn, PyTorch, TensorFlow, BERT, GPT, or similar models, along with experience in Deep Learning and machine learning.,

We are looking for a highly skilled and motivated Senior Data Scientist with 3–5 years of hands-on experience in Machine Learning , Deep Learning , and Large Language Models (LLMs) . The ideal candidate should have strong experience working with Microsoft technologies and Azure Cloud and should be passionate about building scalable AI solutions that drive real business value. You will work closely with cross-functional teams to design, develop, and deploy data-driven models and solutions, leveraging the latest in cloud computing and AI innovations. Responsibilities: Design and develop advanced ML/DL models for predictive analytics, natural language processing, computer vision, and recommendation systems. Build and fine-tune LLMs and deploy them effectively on Azure Machine Learning or other Microsoft AI platforms. Collaborate with data engineers and cloud architects to implement end-to-end ML pipelines on Azure. Apply Deep Learning techniques using frameworks like TensorFlow, PyTorch, or Hugging Face. Conduct exploratory data analysis and identify key trends and insights to inform business decisions. Work on large-scale datasets and implement scalable solutions for model training and deployment. Ensure models are monitored, maintained, and retrained as needed to meet performance standards. Contribute to the design of data architecture and infrastructure for AI applications on Azure. Keep up-to-date with advancements in AI, ML, LLMs, and related Microsoft technologies. Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3–5 years of relevant experience in data science, machine learning, and AI. Strong experience with Azure Cloud Services including Azure ML, Azure Data Lake, and Azure Functions. Proven experience in Machine Learning, Deep Learning, and working with LLMs. Proficiency in Python, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, or Hugging Face Transformers. Solid understanding of Microsoft’s ecosystem and AI stack (e.g., Cognitive Services, Azure OpenAI, Microsoft Fabric, etc.). Familiarity with MLOps practices and tools on Azure. Strong analytical thinking, problem-solving skills, and communication abilities. Ability to work in a collaborative and fast-paced environment.

You will be responsible for developing and optimizing AI/ML models using Python across various applications. Your role will involve conducting Research & Development (R&D) to implement cutting-edge AI methodologies and working with Large Language Models (LLMs) for NLP, text generation, and conversational AI applications. It will also include applying Predictive Analysis techniques to derive data-driven insights and enhance decision-making processes. Collaboration with cross-functional teams to integrate AI solutions seamlessly into business processes is a key aspect of this role. Additionally, staying updated with the latest advancements in AI and ML to improve model performance is crucial. To excel in this position, you must possess a strong proficiency in Python and its AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn. Previous experience in Research & Development (R&D) for AI and machine learning applications is highly desirable. Hands-on experience with Large Language Models (LLMs) like GPT, BERT, or similar architectures is essential. Expertise in Predictive Analysis, which includes statistical modeling and machine learning techniques, will be a significant part of your responsibilities. Strong problem-solving skills and the ability to work effectively with large datasets are essential. Knowledge of cloud platforms like AWS, GCP, or Azure would be advantageous. The ideal candidate should hold a Masters or Ph.D. in Computer Science, AI, Data Science, or a related field. Experience with MLOps, model deployment, and API integration is preferred. Familiarity with data visualization tools and frameworks will be an added advantage. With 6-8 years of experience, your primary skill set should revolve around AI/ML Development, with additional expertise in TensorFlow and NLP.,

As a Sr. Software Engineer specializing in AI, you will be a crucial part of Occams Advisory's AI Initiative. Your primary responsibility will be to lead the development of AI-driven solutions, generative AI, and AI business applications that have a significant impact on various domains. If you are passionate about AI, LLMs, and APIs, and are well-versed in tokens, embeddings, and temperature settings, this role is tailor-made for you. Your expertise will be instrumental in steering the end-to-end execution of AI models, starting from conceptualization and training to optimization and deployment. The role necessitates a profound understanding of AI evolution, particularly in the realms of LLMs, AI Business applications, and generative models, ensuring that the AI solutions are not only innovative but also scalable and effective. You will play a pivotal role in developing LLM-Powered Business Solutions by creating robust applications leveraging frameworks like OpenAI and Langchain. Your proficiency in implementing Retrieval-Augmented Generation (RAG) Pipelines, advanced prompt engineering, and API and Microservices Development will be critical in enhancing user interactions and integrating AI functionalities seamlessly. Collaborating with cross-functional teams and ensuring performance optimization and quality assurance will also be part of your responsibilities. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field, with at least 2 years of experience in integrating OpenAI, Gemini, Lambda, Llama, Langchain into business scenarios. Proficiency in node.js, AI frameworks like TensorFlow and PyTorch, as well as expertise in LLMs, transformers, embeddings, and generative AI are essential. Additionally, experience in AI model optimization, API development, cloud platforms (OpenAI, AWS, Azure, Google Cloud), and handling large datasets for AI training is required. Occams Advisory offers a comprehensive benefits package that includes health insurance for you and your dependents, provident fund, a fixed CTC budget for learning opportunities, a market-leading leave policy, paid holidays, employee recognition & rewards, and a culture that values meritocracy. If you are a proactive, analytical, and detail-oriented professional who thrives on challenges and is eager to contribute to a culture of excellence and impact, we encourage you to apply for this exciting opportunity as a Sr. Software Engineer (AI) with Occams Advisory.,

As a Lead AI ML Developer at Reverence Technologies, you will be leading a team of machine learning and computer vision engineers to deliver high-quality AI/ML solutions for video analytics projects. In this full-time onsite role, located in Noida & Kochi, you will be responsible for collaborating with cross-functional teams to understand business requirements, develop project plans, and ensure the scalability and maintainability of AI/ML solutions. With over 10 years of experience, you will leverage your expertise in developing and deploying machine learning models to guide the team towards successful project outcomes. Your role will involve staying updated with the latest AI/ML research and technologies to evaluate their impact on business operations, in addition to managing team performance, providing mentorship, and fostering a positive team culture. To qualify for this position, you should have a minimum of 6 years of experience in developing and deploying machine learning models, along with at least 3 years of experience in leading machine learning teams. Strong programming skills in C++ and other relevant languages are essential, as well as familiarity with machine learning libraries such as OpenCV, OpenVino, TensorFlow, PyTorch, etc. Experience with cloud platforms like AWS, GCP, or Azure will be advantageous, along with excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.,

Chubb is a world-renowned insurance leader with operations spanning across 54 countries and territories, offering a wide range of commercial and personal insurance solutions. Known for its extensive product portfolio, robust distribution network, exceptional financial stability, and global presence, Chubb is committed to providing top-notch services to its diverse clientele. The parent company, Chubb Limited, is publicly listed on the New York Stock Exchange (NYSE: CB) and is a constituent of the S&P 500 index, boasting a workforce of around 43,000 individuals worldwide. For more information, visit www.chubb.com. Chubb India is embarking on an exciting digital transformation journey fueled by a focus on engineering excellence and analytics. The company takes pride in being officially certified as a Great Place to Work for the third consecutive year, underscoring its culture that nurtures innovation, growth, and collaboration. With a talented team of over 2500 professionals, Chubb India promotes a startup mindset that encourages diverse perspectives, teamwork, and a solution-oriented approach. The organization is dedicated to honing expertise in engineering, analytics, and automation, empowering its teams to thrive in the ever-evolving digital landscape. As a Full Stack Data Scientist within the Advanced Analytics team at Chubb, you will play a pivotal role in developing cutting-edge data-driven solutions using state-of-the-art machine learning and AI technologies. This technical position involves leveraging AI and machine learning techniques to automate underwriting processes, enhance claims outcomes, and provide innovative risk solutions. Ideal candidates for this role possess a solid educational background in computer science, data science, statistics, applied mathematics, or related fields, coupled with a penchant for solving complex problems through innovative thinking while maintaining a keen focus on delivering actionable business insights. You should be proficient in utilizing a diverse set of tools, strategies, machine learning algorithms, and programming languages to address a variety of challenges. Key Responsibilities: - Collaborate with global business partners to identify analysis requirements, manage deliverables, present results, and implement models. - Leverage a wide range of machine learning, text and image AI models to extract meaningful features from structured and unstructured data. - Develop and deploy scalable and efficient machine learning models to automate processes, gain insights, and facilitate data-driven decision-making. - Package and publish codes and solutions in reusable Python formats for seamless integration into CI/CD pipelines and workflows. - Ensure high-quality code that aligns with business objectives, quality standards, and secure web development practices. - Build tools for streamlining the modeling pipeline, sharing knowledge, and implementing real-time monitoring and alerting systems for machine learning solutions. - Establish and maintain automated testing and validation infrastructure, troubleshoot pipelines, and adhere to best practices for versioning, monitoring, and reusability. Qualifications: - Proficiency in ML concepts, supervised/unsupervised learning, ensemble techniques, and various ML models including Random Forest, XGBoost, SVM, etc. - Strong experience with Azure cloud computing, containerization technologies (Docker, Kubernetes), and data science frameworks like Pandas, Numpy, TensorFlow, Keras, PyTorch, and sklearn. - Hands-on experience with DevOps tools such as Git, Jenkins, Sonar, Nexus, along with data pipeline building, debugging, and unit testing practices. - Familiarity with AI/ML applications, Databricks ecosystem, and statistical/mathematical domains. Why Chubb - Join a leading global insurance company with a strong focus on employee experience and a culture that fosters innovation and excellence. - Benefit from a supportive work environment, industry leadership, and opportunities for personal and professional growth. - Embrace a startup-like culture that values speed, agility, ownership, and continuous improvement. - Enjoy comprehensive employee benefits that prioritize health, well-being, learning, and career advancement. Employee Benefits: - Access to savings and investment plans, upskilling opportunities, health and welfare benefits, and a supportive work environment that encourages inclusivity and growth. Join Us: Your contributions are integral to shaping the future at Chubb. If you are passionate about integrity, innovation, and inclusion and ready to make a difference, we invite you to be part of Chubb India's journey. Apply Now: Chubb India Career Page,

Job Description We are seeking a highly skilled and forward-thinking Senior Data Scientist with deep expertise in Generative AI, Agentic AI, and Deep Learning, ideally with experience in the Healthcare, Life Sciences, and Fintech domains. The ideal candidate will bring a strong blend of research acumen and enterprise solution delivery, capable of leading the design and deployment of AI-powered platforms for complex, high-impact business challenges. This is a strategic and hands-on role where you will work on next-gen AI products including intelligent assistants, enterprise automation tools, and AI-integrated decision systems designed to improve operational efficiency and user engagement in regulated industries. Key Responsibilities Lead the end-to-end development of LLM-powered solutions, including fine-tuning, prompt engineering, and dynamic context handling. Design and implement Agentic AI workflows to automate and streamline business operations across healthcare, life sciences, and fintech use cases. Translate business problems into scalable AI/ML pipelines, ensuring alignment with domain-specific compliance and data sensitivity requirements. Build and optimize Reinforcement Learning-based digital twin models and autonomous decision systems. Develop intelligent enterprise search and customer service automation tools using GenAI, NLP, and multi-intent query understanding. Design robust, production-grade ML services using Python, Flask, TensorFlow, PyTorch, and containerized deployment via Docker. Collaborate cross-functionally to build data-centric products and drive research-to-deployment lifecycle. Provide technical leadership in system architecture, MLOps integration, and solution optimization for real-time performance. Contribute to internal documentation, training, and patentable innovation initiatives. Required Skills & Qualifications 6+ years of professional experience in AI/ML development and deployment, with demonstrated success in real-world production environments. Strong programming skills in Python and deep learning frameworks like TensorFlow, PyTorch, Keras. Hands-on experience with Generative AI, LLM fine-tuning, and agent-based AI systems. Expertise in NLP, voice AI, and Reinforcement Learning. Proven ability to develop and deploy solutions for Healthcare and Life Sciences, with an understanding of the domains challenges and regulations. Experience in the fintech domain will be a strong plus. Experience in designing APIs and building scalable microservices for AI inference and data processing. Familiarity with DevOps practices, version control, CI/CD pipelines, and container technologies (e.g., Docker, Git). Working knowledge of workflow automation frameworks. Masters degree in Signal Processing, Machine Learning, Computer Science, or related field (PhD or research background is a strong advantage). Nice To Have Experience building AI applications that support clinical workflows, financial analytics, or biomedical data platforms. Background in digital therapeutics, financial risk models, or AI-driven operations tools. Contribution to AI research publications, open-source projects, or patents. Immediate joiners are preferred (ref:hirist.tech)

As a Senior Data Scientist, you will play a crucial role in supporting the design, development, and implementation of generative AI models and systems. Your responsibilities will include assisting in model development, algorithm optimization, data preprocessing, feature engineering, model evaluation, and collaboration with cross-functional teams. You will focus on learning and developing your skills in generative AI while ensuring ethical considerations are adhered to under the guidance of senior team members. Your technical skills should include in-depth knowledge of ML, Deep Learning, NLP algorithms, and experience with ML platforms like GCP Vertex AI, Azure AI Foundry, or AWS SageMaker. Proficiency in Python, Java, or C++, along with machine learning frameworks such as TensorFlow or PyTorch, is essential for developing and optimizing generative AI models. Cloud computing experience, particularly with Google or Azure Cloud Platform, is crucial, as well as an understanding of Data Analytics Services offered by these platforms. Preferred technical skills may include knowledge of Azure Cognitive Search, Google Cloud Search, AWS Kendra, and experience in large-scale deployment of ML projects with a good understanding of DevOps/MLOps/LLM Ops. Strong communication skills, the ability to work independently, mentor junior developers, and understand business objectives to support data needs are key behavioral attributes required for this role. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science and possess 6 to 8 years of relevant work experience. If you are looking to contribute to cutting-edge generative AI projects, collaborate with diverse teams, and stay updated with the latest AI trends, this role is ideal for you.,