216 Rag Jobs

high proficiency and experience in designing/developing data analytics and data warehouse solutions with Azure Data Bricks, Azure Data Factory, services related to Azure Analytics, Azure SQL, Azure function app, logic app experience in designing large data distribution, integration with service-oriented architecture and/or data warehouse solutions proficient coding experience using Spark (Scala/Python), T-SQL prior ETL development experience using industry tool e.g. informatica/SSIS/Talend etc. a proven track of work experience in cloud (MS Azure platform preferred) in an agile SDLC environment, leveraging modern programming languages, DevOps, and test-driven development. Azure Data Bricks/Data Factory/Data Lake/ Devops/ Spark/Scala/Python Production grade work experience with Python Good understanding of Core Deep Learning theory, Language models, Transformers Solid understanding of LLM fundamentals Prompting, RAG, Function calling, Agentic Workflows

We are seeking an experienced AI/ML Architect to lead the design, development, and deployment of Generative AI solutions. This role requires a deep understanding of AI/ML architectures, technical leadership, and the ability to design robust, scalable, and production-ready systems. The ideal candidate will have extensive experience in cloud platforms like GCP and optionally AWS, Azure, or equivalent tools, combined with hands-on expertise in MLOps, containerization, data processing, and advanced model optimization . You will work closely with cross-functional teams, technical leadership, and stakeholders to implement state-of-the-art AI solutions that solve real-world challenges and drive business value. Roles & Responsibilities 1) Technical Leadership Lead the technical design and architecture of complex Generative AI systems. Ensure solutions align with business objectives, scalability requirements, and technical feasibility. Guide development teams through best practices , architecture reviews, and technical decision-making processes. 2) Solution Architecture Design and develop end-to-end Generative AI solutions , including data pipelines , model training, deployment, and real-time monitoring. Utilize MLOps tools and frameworks to automate workflows, ensuring scalable and repeatable deployments. Architect robust solutions using GCP and optionally AWS, Azure, or open-source frameworks. Design, train, and fine-tune AI/ML models , especially Generative AI and Large Language Models (LLMs) , to address specific use cases. Build conversational AI solutions and chatbots using frameworks such as LangChain , RAG (Retrieval-Augmented Generation) , and Chain-of-Thought (COT) prompting . 3) Production Deployment Lead the deployment of Generative AI models into production environments . Optimize deployment pipelines leveraging tools like Docker, Kubernetes , and cloud-native services for orchestration. Ensure seamless integration of GenAI solutions into existing CI/CD pipelines. 4) Data Processing & Feature Engineering Build scalable ETL workflows for managing structured, semi-structured, and unstructured data. Implement data wrangling , preprocessing, and feature engineering pipelines to prepare data for Generative AI applications. Optimize workflows to extract meaningful insights from large datasets . 5) Model Optimization Identify and implement optimization strategies such as hyperparameter tuning , feature engineering , and model selection for performance enhancement. Focus on computational efficiency and scaling models to production-level performance. 6) Pilot/POCs Development Drive the design and development of Proof of Concepts (POCs) and pilot projects to address customer requirements. Collaborate with delivery and product teams to scale successful pilots to production-grade solutions. 7) Evangelization Promote and drive the adoption of Generative AI solutions across customer and delivery teams. Provide technical leadership and mentorship to teams working on GenAI projects. Conduct workshops, training sessions, and knowledge-sharing initiatives to enable stakeholders. 8) Continuous Improvement Stay at the forefront of AI advancements , frameworks, and tools, including emerging concepts in Generative AI. Explore and evaluate techniques like Reinforcement Learning from Human Feedback (RLHF) and REACT (Retrieve, Extract, Adapt, Construct, Think) frameworks to enhance GenAI applications. Required Skills & Qualifications 10+ years of experience in AI/ML architecture, model development, and production deployment Proven expertise in designing, implementing, and scaling Generative AI and LLM-based solutions Hands-on experience with frameworks like LangChain , Retrieval-Augmented Generation (RAG) , and advanced prompting techniques Proficiency in advanced techniques such as embeddings and Chain-of-Thought (COT) prompting Experience working with cloud platforms , primarily GCP , with optional experience in AWS or Azure Strong understanding of MLOps tools, pipelines, and model monitoring in production Proficiency in Python and SQL for model development and data processing Experience with data preprocessing, ETL workflows , and feature engineering for AI applications Strong knowledge of containerization tools like Docker and orchestration platforms like Kubernetes Solid understanding of CI/CD pipelines for continuous deployment and integration of AI solutions Experience working with large datasets for structured and unstructured AI applications Deep experience in model optimization, including hyperparameter tuning and computational efficiency strategies Proven track record of leading POCs/pilots and scaling them to production-grade deployments Preferred Skills Familiarity with Reinforcement Learning from Human Feedback (RLHF) . Experience with REACT (Retrieve, Extract, Adapt, Construct, Think) frameworks. Strong understanding of orchestration for large-scale production environments. Key Attributes Strong technical leadership and mentorship abilities. Excellent communication and stakeholder management skills. Strategic thinking with the ability to architect scalable and future-ready AI systems. Passion for solving business challenges using state-of-the-art AI techniques. Commitment to staying updated with the latest advancements in AI/ML technologies. Why Join Us? Lead the development of cutting-edge Generative AI solutions for real-world applications. Be part of a collaborative, innovative, and technology-driven team. Opportunity to work with advanced AI/ML tools and frameworks. Drive innovation through technical leadership , mentorship, and solution evangelization. Continuous professional growth with access to the latest AI/ML technologies and frameworks.

About the role What you'll do Build and maintain backend systems that let AI agents interface with real services • Design and implement tool-calling pipelines, orchestrators, and external integrations • Work closely with clinical and product teams to define new agent capabilities • Contribute across the stack: APIs, infra, LLM workflows, internal tools Ready to shape the future of healthcare AI? .Help define engineering standards, observability, and system safety at scale • What we're looking for Engineering degree from a Tier 1 institute • 510 years of experience building and maintaining production-grade software • Proficiency in one or more backend languages (e.g. Python, Go, Java) • Solid understanding of databases, APIs, version control, and deployment practices • Comfort with ambiguity and a bias toward execution • Interest in applied AI and realworld problem-solving

Role & responsibilities Architect and implement AI/ML solutions tailored to client-specific business problems using Gen AI (e.g., LLMs like GPT, Gemini, Mistral) and traditional ML models (e.g., scikit-learn, XGBoost). Collaborate with client stakeholders to understand requirements, define problem statements, and translate them into scalable AI/ML solutions. Present demos and proof-of-concepts (POCs) to clients, showcasing the value of AI/ML in real-world scenarios Mentor and guide a cross-functional team of data scientists, ML engineers, and developers Drive best practices in model development, deployment, and monitoring Stay abreast of the latest advancements in Gen AI and ML, and evaluate their applicability to client use cases Contribute to internal knowledge bases and reusable solution accelerators Preferred candidate profile Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with Gen AI platforms and LLMs (e.g., OpenAI, Gemini, LLaMA, Mistral). Proven track record of deploying ML models in production environments (cloud/on-prem). Experience with API development, data pipelines, and dashboarding tools like Streamlit. Familiarity with DevOps and MLOps practices for model lifecycle management. Excellent communication and stakeholder management skills. Tools: LLM, SLM, Vector DB, Graph DB, Airflow, MLFlow, MLOps tools, NLP, KG, ML models (Regression, Clustering, Classification etc), LangChain, LangGraph, AutoGen

LLMs - OpenAI, Gemini, CoPilot etc. Good Knowledge of RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). cloud services (GCP, Azure, AWS).

Job Description- 5-8 years of strong hands-on experience in software development, with a focus on full stack development and an understanding of AI/ML or GenAI. -Experience on full stack implementation from frontend UI/UX to backend logic and infrastructure. -Design and develop responsive web applications using ReactJS and build robust backend services and APIs using Python. -Proficiency in Python, including experience with data processing, API integration, and automation scripting -Experience in working on Linux OS -Proven expertise in Cloud Infrastructure as Code using AWS CloudFormation, Terraform, or equivalent tooling in Azure/GCP -Deep understanding of Object-Oriented Programming (OOP) principles and applying them in scalable and maintainable system design -Demonstrated experience in end-to-end SDLC (Software Development Life Cycle): requirement gathering, design, development, testing, deployment, and support -Proficient in version control systems like Git and devops aware -Experience with using containerization technologies such as Docker, and orchestration using Kubernetes -Good to have handson experience with one of the following Generative AI concepts: -Working with Large Language Models (LLMs) such as GPT, LLaMA, Claude, etc. -Building intelligent systems using LangGraph, Agentic AI frameworks, or similar orchestration tools -Implementing Retrieval-Augmented Generation (RAG), prompt engineering, and knowledge augmentation techniques -Strong problem-solving and debugging skills, with an ability to write clean, efficient, and maintainable code -Excellent verbal and written communication skills, with the ability to collaborate effectively across technical and business teams -Personal GitHub project to prove the experience Must Have Skills: AI Fullstack Developer, Strong Python Scripting, ata processing, API integration, and automation scripting, Fullstack Development, RAG, LLM's, Deep Learning, Cloud Platform (AWS, Azure, GCP), ReactJS/ NodeJS, SDLC Lifecycle, OOP's Concepts. If interested in opportunity, please click on apply to procced further.

We have openings for Python & Gen AI, those who can attend interview in chennai can share their profile with kalaiavni.Ranganathan@nttdata.com.

We are looking for a skilled AI Engineer with 3 to 8 years of experience in software engineering or machine learning to design, implement, and productionize LLM-powered agents that solve real-world enterprise problems. This position is based in Kolkata. Roles and Responsibility Architect and build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark and iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Job Requirements Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go is a bonus. Hands-on experience with at least one LLM/agent framework and platform (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar).

Company Name - Fission Labs Apply Here - https://app.fabrichq.ai/jobs/0e46cebe-8b91-4a96-9061-950b66dc4d54 About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Key Responsibilities Design and architect complex Generative AI solutions using AWS technologies Develop advanced AI architectures incorporating state-of-the-art GenAI technologies Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions Architect scalable AI systems using AWS Bedrock and SageMaker Design and implement agentic AI systems with advanced reasoning capabilities Develop custom AI solutions leveraging vector databases and advanced machine learning techniques Evaluate and integrate emerging GenAI technologies and methodologies Technical Expertise Requirements Generative AI Technologies Expert-level understanding of: Retrieval Augmented Generation (RAG) Vector Database architectures Agentic AI design principles AWS AI Services Comprehensive expertise in: AWS Bedrock Amazon SageMaker AWS AI/ML services ecosystem Cloud-native AI solution design Technical Skills Advanced Python programming for AI/ML applications

Role: ML Engineer Experience: 3 to 15 Years Chennai location must or relocation also fine- Hybrid mode We have good budget Job Description: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability.. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning.

Should have 7+ years of experience in GenAI. Should have experience in Python , Typescript, RAG Architecture Design, GraphRAG, Agentic Architecture, SQL, Milvus, Graph DB, Vision Models, Restful API, Fast API

Job Description: We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud Services such as AWS highly desirable. Required Skills/Qualifications : - 3-12 years of experience in AI/ML related work - Extensive experience in Python - Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis - Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers - Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras - Experience with GenAI, LLMs, RAG architecture would be a plus - Familiarity with cloud services such as AWS, Azure - Familiarity with version control systems (e.g., Git), JIRA, Confluence - Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro - Knowledge of CI/CD pipelines and DevOps practices - Experience delivering customer facing AI Solutions delivered as SaaS would be a plus - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Strong problem-solving skills and attention to detail - Excellent verbal and written communication and teamwork skills

Note: Need candidate only from Startup, Banking, Fintech, Product Based We are not looking for NIT or IIT or VIT Candidates. Please don't apply. Required Qualifications: 1+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs, RNNs, Transformers, GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) or Computer Vision (OpenCV, YOLO) Good To Have Skills Reinforcement learning or autonomous systems Edge AI or embedded ML deployments Big data technologies (Spark, Hadoop, SQL/NoSQL databases) CI/CD pipelines and version control (Git) MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) Cloud-based AI services (AWS SageMaker, GCP Vertex AI, Azure ML) Soft Skills Problem-solving skills Ability to translate business needs into AI solutions Mentorship capabilities Job application: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369

Job Description The Senior Full Stack Python Engineer is responsible for developing and maintaining robust, scalable, and efficient software solutions. This role requires: Deep understanding of Python programming and writing unit tests. Extensive knowledge of NoSQL DB, with significant experience in Microsoft Azure, particularly Cosmos DB NoSQL . Comprehensive understanding of LLM prompt engineering . Comprehensive understanding of microservices architecture and best practices in software development. Proficiency with Generative AI models such as OpenAI, Mistral, Claude, Gemini, Llama and schema-driven prompt engineering. Strong knowledge of Azure AI Services (Indexes, Vectors, Cognitive search etc.) and Azure Open AI Full-stack development capabilities, including front-end UI/UX development using React . Design, develop, and maintain high-quality Python applications. Demonstrate expertise in working with NoSQL Databases. Leverage experience with Microsoft Azure services, especially Cosmos DB. Architect and implement microservices-based applications. Utilize advanced knowledge of schema-driven prompt engineering and Generative AI models. Construct and maintain APIs, integrating various systems. Engage with stakeholders to gather requirements and translate them into software solutions. Apply meticulous attention to detail and excellent communication skills. Operate within Agile teams, applying Agile methodologies. Enhance user experience by creating intuitive user interfaces from Figma mockups Required Education Bachelor's degree in computer science, Information Technology, or a related field.

Job Description: Sr. Software Engineer (Python) Company: Karini AI Location: Pune (Wakad) Experience Required: 3 - 5 years Compensation: Not Disclosed Role Overview : We are seeking a skilled Sr. Software Engineer with advanced Python skills with a passion for product development and a knowledge of Machine Learning and/or Generative AI. You will collaborate with a talented team of engineers and AI Engineers to design and develop high-quality Generative AI platform on AWS. Key Responsibilities : Designed and developed backend applications and APIs using Python. Work on product development, building robust, scalable, and maintainable solutions. Integrate Generative AI models into production environments to solve real-world problems. Collaborate with cross-functional teams, including data scientists, product managers, and designers, to understand requirements and deliver solutions. Optimize application performance and ensure scalability across cloud environments. Write clean, maintainable, and efficient code while adhering to best practices. Requirements : 3-5 years of hands-on experience in Product development. Demonstrable experience in understanding advanced python concepts for building scalable systems. Demonstrable experience working with FastAPI server in production environment. Familiarity with unit testing, version control and CI/CD Good understanding of Machine Learning concepts and frameworks (e.g., TensorFlow, PyTorch). Experience with integrating and deploying ML models into applications is a plus. Knowledge of database systems (SQL/NoSQL) and RESTful API development. Exposure to containerization (Docker) and cloud platforms (AWS). Strong problem-solving skills and attention to detail. Preferred Qualifications : Bachelor of Engineering in Computer Science, Information Technology, or any other engineering discipline. M.Tech, M.E. & B.E-Computer Science preferred. Hands-on experience in product-focused organizations. Experience working with data pipelines or data engineering tasks. Knowledge of CI/CD pipelines and DevOps practices. Familiarity with version control tools like Git. Interest or experience in Generative AI or NLP applications. What We Offer: Top-tier compensation package, aligned with industry benchmarks. Comprehensive employee benefits including Provident Fund (PF) and medical insurance. Experience working with Ex-AWS founding team with the fastest growing company. Work on innovative AI-driven products that solve complex problems. Collaborate with a talented and passionate team in a dynamic environment. Opportunities for professional growth and skill enhancement in Generative AI A supportive, inclusive, and flexible work culture that values creativity and ownership.

Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Experience : 3 to 6 years Immediate Joiners Preferred Skill set: Chat Bot / Full Stack Developer Domain knowledge: Chat Bot / Full Stack Developer Preferred Skills (Extra Advantage) Experience in chatbot development using RAGs, frameworks like Dialogflow, or similar Understanding of AI/ML integration in applications. Familiarity with CI/CD pipelines and DevOps practices. Job Description: Key Responsibilities: Design, develop, and maintain robust, scalable full-stack applications. Write clean, efficient, and well-documented code using JavaScript and Python. Develop and manage APIs for seamless integration with front-end and third-party services. Collaborate with cross-functional teams to define, design, and deliver new features. Deploy, manage, and monitor applications on cloud platforms (preferably GCP or Azure). Troubleshoot, debug, and upgrade existing applications to ensure optimal performance. Required Skills: Strong proficiency in JavaScript and Python. Hands-on experience with API development and integration (RESTful or GraphQL). Solid understanding of front-end technologies such as HTML, CSS, and modern JavaScript frameworks (e.g., React, Angular, or Vue.js). Proficient in working with databases (SQL and NoSQL). Experience with any cloud platform, preferably Google Cloud Platform (GCP) or Microsoft Azure. Knowledge of version control systems like Git. Interested Candidates Kindly drop your Cv's to parthiban.gunasekaran@gbitinc.com

Mandatory Skills - Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps. Requirement- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. E xperience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Interested candidates share your CV at himani.girnar@alikethoughts.com with below details Candidate's name- Email and Alternate Email ID- Contact and Alternate Contact no- Total exp- Relevant experience- Current Org- Notice period- CCTC- ECTC- Current Location- Preferred Location- Pancard No-

Design, develop, and implement Graph RAG models to enhance data relationships and knowledge retrieval. Build, train, and fine-tune LLMs to work with Microsoft Co-pilot and Open Azure AI. Utilize the Azure Samples Graph RAG Accelerator to accelerate Required Candidate profile exp in developing and deploying AI models, specifically Graph RAG and LLMs. exp with Microsoft Azure, including Azure AI and related services. Azure Samples Graph RAG Accelerator is highly

Mandatory Skills: Bachelor's degree in Computer Science, Information Technology, AI/ML or related field 2-5 years of experience in working with NLP / LLMs Experience with Fine Tuning and Retraining LLM's. Highly Contributes to the implementation, refinement and validation of machine learning algorithms for products and applications Experience about NLP, LLMs - Falcon, LLama, Langchain, Palm2, Text annotation and Information extraction Experience Vector Databases like Pinecone, Waviate, Chroma , Faiss. Experience in deep learning frameworks like PyTorch/ Tensorflow Strong experience with Python, good programming and problem solving skills Preferred Skills : Experience with Machine Learning, Model Versioning and Deployment. Good knowledge of Cloud Deployment Knowledge about Computer Vision

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Technical Architect/Senior Technical Architect Exp : 10-25 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking a highly skilled Generative AI Engineer with a strong foundation in data science and a passion for building cutting-edge AI solutions. The ideal candidate will have 10-15 years of overall experience, including at least 3 years of hands-on work in Generative AI and Large Language Models (LLMs). You will play a key role in developing and deploying advanced AI models to drive innovation and impact across our platform. Responsibilities: Design and develop advanced generative models/large language models Collaborate with other teams to integrate AI solutions into our marketing platform Manage the project lifecycle from research and development to deployment and optimization. Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy. Qualifications and Education: 4 years experience in GenAI and LLM with overall 10-15 years of experience building advanced analytics products. Strong proficiency in Python and AI frameworks. Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps Working knowledge of generative models (GANs, VAEs) and NLP. Solid understanding of machine learning algorithms and data pre-processing techniques. Knowledge of cloud computing and AI deployment (Google Cloud preferred) Excellent problem-solving, analytical, and creative thinking skills Bachelors degree in computer science or engineering discipline Experience with MySQL and/or PostgreSQL databases. Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills. A good team player, high level of personal commitment & 'can do' attitude. Demonstrable ownership, commitment and willingness to learn new technologies and frameworks Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

V2Soft India Pvt Ltd Experience: 10+ years of experience in the field of AI and ML ( Machine Learning ) Overall Experience : Location: Bangalore and Chennai Work Mode: Hybrid Mode: Notice Period: Immediate to 30 days Experience : 3 Years of relevant experience and previous work in any related AI is a plus. Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol ) Agentic AI LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy Deploying Models on-prem and on the cloud

Job Title: Tech Lead, Prompt Engineering Report To: Prompt Engineering Manager Location: Bangalore/Hyderabad/chennai/coimbatore Position: Full-time Department: Annalect Engineering Position Overview Prompt Engineer is an emerging role at Annalect, which plays a key role in developing our advanced generative AI capabilities. Prompt engineers work closely with business, product, and engineering stakeholders to create valuable and amazong AI capabilities with LLMs and other AI capabilities. Key Responsibilities: Develop and evaluate prompts for AI agents, chatbots, and other capabilities. Develop monitoring techniques to check the accuracy and performance of models during development and production. Test and analyze outputs from AI by experimenting with different prompts/techniques. Work with application and QA teams to implement monitoring and CI/CD Combine correct techniques for querying data in alignment with the capabilities for prompts Required Skills At least 5+ years of previous software engineering experience. Working experience of common software development techniques, including git, github/bitbucket pull request workflows, and intermediate python (ruby, C#, or other server language) Proven ability to write clear and specific instructions for LLM and diffusion models Experience with interactive problem-solving techniques. Familiarity with iterative design methodologies. Strong problem-solving and analytical skills. Solid knowledge of data structures, data formats, and data modeling Understanding (and preferrable practical experience) with common software architecture patterns, ability to reason about different components of the software stack Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real-world challenges Excellent communication and collaboration skills Additional Skills BS, MS, in Computer Science, Computational Linguistics, or a related field, or equivalent real-world experience Knowledge of Vector databases such as Pinecone or Milvus with experience in at least one type of databases (MSQL/ PSQL) Experience with LangChain and Weights & Biases is a plus Familiarity with big data technologies such as Hadoop, Spark, and Hive Proven ability to independently execute projects from concept to implementation and to maintain a live product Perks of Working at Annalect Culture. We have an incredibly fun, collaborative and friendly environment, and often host social and learning activities such as game night, speaker series, and so much more! Generous vacation policy. Paid time off (PTO) includes vacation days, personal days, and a Summer Friday program. Extended time off around the holiday season. Our office is closed between Xmas and New Year to encourage our hardworking employees time to rest, recharge and celebrate the season with family and friends. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a startup - we move fast, break things, and innovate. We are an equal opportunity employer. Annalect, a division of Omnicom Media Group, reaffirms its commitment to the policy of Equal Employment Opportunity and to carrying out this policy at all of its offices. It shall be the policy of Omnicom Media Group to (1) recruit, select, hire, train, promote, pay, discipline and terminate employees in all job classifications without regard to age, race, color, creed, national origin, citizenship status, alienage, religion, sex, sexual orientation, marital status, veteran status, disability or any other basis upon which discrimination against or harassment of employees or applicants for employment is prohibited under any applicable federal, state or local equal opportunity employment laws and (2) ensure that all personnel actions are administered without discrimination in violation of applicable law. annalect.com

We are seeking a skilled and experienced Machine Learning Engineer to join our team.The ideal candidate will have a strong background in Python and PyTorch, along with 4-8 years of experience deploying ML/AI models to production. This role requires excellent analytics skills and a good working knowledge of Databricks. You will work closely with data scientists, clinicians, software engineers, and product teams to design, build, and optimize scalable machine learning solutions. Role & responsibilities Develop, train, and optimize machine learning models using PyTorch and other ML frameworks. Deploy and maintain ML models in production environments, ensuring scalability, performance, and reliability. Utilize Databricks for data processing, model training, model deployment, and pipeline optimization. Deploy Retrieval-Augmented Generation (RAG) pipelines to production for improved AI-driven applications. Collaborate with data engineers to design and implement ETL workflows and data pipelines. Perform rigorous testing, validation, and monitoring of deployed models. Optimize model inference for low latency and high throughput applications. Work with stakeholders to translate business problems into ML solutions. Stay up to date with the latest advancements in machine learning, deep learning, and AI deployment strategies. Preferred candidate profile Proficiency in Python and ML frameworks such as PyTorch. 4-8 years of experience deploying machine learning models to production. Knowledge of MLflow for experiment tracking and model management. Strong experience with Databricks for ML development and deployment. Hands-on experience with MLOps, CI/CD pipelines, and cloud-based deployment (AWS, Azure, or GCP). Solid understanding of data structures, algorithms, and software engineering principles. Experience working with large-scale datasets and distributed computing frameworks. Experience with deploying Retrieval-Augmented Generation (RAG) pipelines to production. Excellent analytical and problem-solving skills. Strong communication skills and ability to work in a collaborative team environment. Preferred Qualifications Experience deploying models in the healthcare domain. Experience with feature engineering, data preprocessing, and model explainability. Knowledge of containerization (Docker, Kubernetes) and workflow orchestration tools Familiarity with LLMs, NLP, or reinforcement learning is a plus.

Responsibilities: * Design and implement AI solutions using GML, Neo4J, ArangoDB, LangChain, LLamaIndex, RAG. * Collaborate with cross-functional teams on ML projects with Python, PySpark, Pytorch, R, SQL.