458 Rag Jobs - Page 14

Job Title: AI Engineer – GenAI & Azure (Python + ML) Location: Bangalore Hybrid Experience: 7+ years to 15 Years Employment Type: Full-Time Design, develop, and deploy AI/ML solutions with a focus on Generative AI applications. Required Candidate profile Build and optimize scalable data pipelines and AI services using Python and Azure cloud components. Integrate and operationalize AI models using Azure Functions, Azure Event Grid, and Azure Search.

Overview: We are building scalable Agentic AI platforms, powering 50+ enterprise use cases using LLM-based agents. Were looking for a Senior Software Developer with strong backend (Python), DevOps, and AI integration skills to help build robust services, APIs, and front-end components that enable agent execution, orchestration, and user interaction. Job Responsibilities: Lead design and development of scalable backend services & APIs using Python and FastAPI . Optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases . Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis). Develop intuitive UI components for agent configuration & visualization (JavaScript and React). Structure and style internal interfaces effectively (HTML5, CSS3). Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents. Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone). Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling. Drive robust DevOps practices: expert Git, Docker, and CI/CD pipeline implementation. Promote agile methodologies, conduct code reviews, and maintain high-quality documentation. Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions. Mentor junior engineers, contribute to technical strategy, and drive innovation. Job Requirements: Back-End Development (Required) - Expert in Python with production experience architecting and developing scalable backend services using FastAPI for high-performance RESTful APIs and WebSocket-based communication. Proficient in leveraging ORMs , designing robust relational database schemas ( PostgreSQL, MySQL ), and effectively utilizing caching mechanisms like Redis. Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform. DevOps & Software Engineering Practices (Required) - Expert in version control with Git and containerization using Docker . Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable. Proficient in agile development methodologies and conducting thorough, constructive code reviews. Front-End Development (Desired) - Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization. Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively. Good to Have Skills: AI/ML Integration - Proficiency in integrating LLMs (e.g., Azure OpenAI, HuggingFace Transformers, Nvidia NIMs) into complex backend systems and workflows. Strong practical understanding and application of prompt engineering techniques, designing and utilizing agentic frameworks (e.g., LangChain, LlamaIndex), and implementing effective tool calling mechanisms. Demonstrable experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including the selection and utilization of Vector Databases (e.g., Milvus, PGVector, Pinecone). Familiarity with MLOps principles and tools for model deployment and serving (e.g., NVIDIA Triton, KServe).

We are looking for DS Gen AI Lead with Azure Cloud experience. Location - PAN India Experience - 12+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG, Azure and Open AI Job description Deep understanding of RAG Open AI LLM embedding models Good knowledge of Vector database and how it works Experience in designing solutions Ability to do research for use cases and discuss various approaches with pros and cons Evaluate and recommend appropriate AI technologies and frameworks Lead the development and mentor development team in technical challenges Understanding of Data privacy concerns in GenAI application Excellent communication skills Ability and willingness to work late hrs as needed by business

Job Position (Title): Agentic AI Experience Required: 3 - 9 Years No of Position: 4 Job Type: FTE Location: Hyderabad Required Skills 3 to 7 years of hands-on experience in AI/ML, with at least 12 years specifically in Agentic AI or autonomous agents. Strong proficiency in Python and familiarity with AI libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs. Experience with tools like AutoGen , CrewAI , and LangGraph . Deep understanding of RAG pipelines , LLM fine-tuning , and embedding-based retrieval systems . Hands-on experience with vector databases like FAISS, Pinecone, or similar. Solid foundation in machine learning, NLP, and data structures. Excellent communication skills and ability to work in a collaborative environment Role and Responsibilities Design, build, and deploy intelligent autonomous agents using Agentic AI frameworks like AutoGen , CrewAI , and LangGraph . Implement RAG (Retrieval-Augmented Generation) pipelines to enhance response accuracy and contextual relevance. Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for knowledge storage and semantic search. Fine-tune large language models (LLMs) for specific tasks using tools like LoRA, PEFT, or full model training. Collaborate with product, research, and engineering teams to understand user needs and create agent-based workflows. Integrate APIs and services to create complex multi-agent systems capable of task delegation and coordination. Continuously evaluate and improve system performance, scalability, and reliability. Preferred Qualifications Prior experience deploying LLM-based agents in production. Knowledge of prompt engineering and agent orchestration. Contributions to open-source AI/agent frameworks.

We are looking for an innovative Generative AI Engineer to design, build, and deploy LLM-based applications, chatbots, and AI-driven workflows. You will work on retrieval-augmented generation (RAG) systems, fine-tune AI models,

Role & responsibilities AI developer with Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django, ML/DL Internships are available For Junior developers, we will train you in live AI/IOT/Web/Mobile projects. Full time opportunity after Successful Internships. Additional training will be provided for freshers along with Master degree enrollments. Preferred candidate profile Fast self learner. AI with Full stack exposure to REACT,NODE,JSP, PHP-Laravel, Python-django, Android, etc . Good understanding of complex Data base and SQL with healthcare and business application exposure is required.

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 11 -16 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 987153039 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Responsibilities: * Design, develop, and deploy generative AI models using Python and TensorFlow. * Optimize model performance through RAG testing and LLM integration.

Greetings from Blue Altair! Job Overview: We are seeking an experienced and highly skilled Data Science and AI Engineer to join our dynamic team. The ideal candidate will have 5+ years of experience working on cutting-edge data science and AI technologies across various cloud platforms with a strong focus to work on LLMs and SLMs. The role demands a professional capable of performing in a client-facing environment, as well as mentoring and guiding junior team members. Title: Consultant/Sr. Consultant - Data Science Engineer Experience : 5-8 years Location: Pune/Bangalore (Hybrid) Roles and responsibilities: Develop, implement, and optimize machine learning models and AI algorithms to solve complex business problems. Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures. Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs. Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.). Work closely with clients to understand their data and AI needs and provide tailored solutions. Collaborate with cross-functional teams to integrate AI solutions into broader software architectures. Mentor junior team members and provide guidance in implementing best practices in data science and AI development. Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies. Prepare technical documentation and present insights to both technical and non-technical stakeholders. Requirement: 5+ years of experience in data science, machine learning, and AI technologies. Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS. Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL). Experience with MLOps practices and deployment of models in production environments. Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets. Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc. Client-facing experience with strong communication skills to manage and engage stakeholders. Strong problem-solving skills and analytical mindset. Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members.

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 1118 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Company: Compunnel INC Job Location: Noida/Chandigarh Experience Required: 4+ years Mode of Work: 5 days work from the office Job Title: AI /ML Engineer We are seeking a talented and innovative Generative AI Engineer to join our team. The ideal candidate will have expertise in training and testing large language models (LLMs) for applications like speech-to-text and text-to-speech, with a focus on the Hindi language. This role requires proficiency in cutting-edge AI technologies, including transformers, GPU acceleration, and CUDA, along with strong Python programming skills. Key Responsibilities: Design, train, and fine-tune LLMs for speech-to-text and text-to-speech applications in Hindi. Develop and optimize transformer-based architectures for natural language processing (NLP) tasks. Leverage GPU acceleration and CUDA for efficient model training and deployment. Pre process and manage large datasets to ensure high-quality data for model training. Collaborate with cross-functional teams to integrate AI models into production systems. Conduct rigorous testing and evaluation of models to ensure accuracy, efficiency, and scalability. Stay updated with the latest advancements in generative AI and NLP technologies. Required Skills and Qualifications: Proficiency in Python and experience with deep learning frameworks like TensorFlow or PyTorch. Strong understanding of transformer architectures (e.g., BERT, GPT, T5). Hands-on experience with GPU acceleration and CUDA programming. Familiarity with Hindi language processing, including phonetics, grammar, and linguistic nuances. Experience in developing and deploying speech-to-text and text-to-speech systems. Knowledge of data preprocessing techniques for audio and text datasets. Strong problem-solving skills and ability to work in a collaborative environment. Preferred Qualifications: Experience with tools like Hugging Face Transformers, Kaldi, or Mozilla Deep Speech. Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) for AI model deployment. Understanding of end-to-end speech recognition and synthesis pipelines. A background in linguistics or computational linguistics is a plus. Please fill in all the essential details which are given below & attach your updated resume, and send it to ralish.sharma@compunnel.com 1. Total Experience: 2. Relevant Experience in Python : 3. Experience in Pytorch : 4. Experience in Tensorflow: 5. Experience in LLM : 6. Experience in RAG : 7. Experience in NLP : 8. Experience in GPT : 9. Experience in Bert: 10 . Experience in CUDA : 11. Current company : 12. Current Designation : 13. Highest Education : 14. Notice Period: 15. Current CTC: 16. Expected CTC: 17. Current Location: 18. Preferred Location: 19. Hometown: 20. Contact No: 21. If you have any offer from some other company, please mention the Offer amount and Offer Location: 22. Reason for looking for change: If the job description is suitable for you, please get in touch with me at the number below: 9910044363 .

Job Summary: We are seeking a passionate and skilled AI Engineer to design, develop, and deploy cutting-edge AI solutions across domains such as large language models (LLMs), computer vision, and autonomous agent workflows. You will collaborate with data scientists, researchers, and engineering teams to build intelligent systems that solve real-world problems using deep learning, transformer-based architectures, and multi-modal AI models. Key Responsibilities: Design and implement AI/ML models, especially transformer-based LLMs (e.g., BERT, GPT, LLaMA) and vision models (e.g., ViT, YOLO, Detectron2). Develop and deploy computer vision pipelines for object detection, segmentation, OCR, and image classification tasks. Build and orchestrate intelligent agent workflows using prompt engineering, memory systems, retrieval-augmented generation (RAG), and multi-agent coordination. Fine-tune and optimize pre-trained models on domain-specific datasets using frameworks like PyTorch or TensorFlow. Collaborate with cross-functional teams to understand problem requirements and translate them into scalable AI solutions. Implement inference pipelines and APIs to serve AI models efficiently using tools such as FastAPI, ONNX, or Triton Inference Server. Conduct model evaluation, benchmarking, A/B testing, and performance tuning. Stay updated with state-of-the-art research in deep learning, generative AI, and multi-modal learning. Ensure reproducibility, versioning, and documentation of all experiments and production models. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 35 years of hands-on experience in designing and deploying deep learning models. Strong knowledge of LLMs (e.g., GPT, BERT, T5), Vision Models (e.g., CNNs, Vision Transformers), and Computer Vision techniques. Experience building intelligent agents or using frameworks like LangChain, Haystack, AutoGPT, or similar. Proficiency in Python, with expertise in libraries such as PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Scikit-learn. Familiarity with MLOps concepts and deployment tools (Docker, Kubernetes, MLflow). Strong understanding of NLP, image processing, model fine-tuning, and optimization. Experience with cloud platforms (AWS, GCP, Azure) and GPU environments. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience in building multi-modal AI systems (e.g., combining vision + language models). Exposure to real-time inference systems and low-latency model deployment. Contributions to open-source AI projects or research publications. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG pipelines. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. AI Engineer is tasked with the design, development, and deployment of advanced generative AI models and systems. This position requires close collaboration with data scientists, product managers, and other stakeholders to integrate generative AI solutions into existing products and develop new innovative features. Proficiency in the Agentic AI framework is vital for coordinating multiple autonomous AI agents to accomplish complex tasks. Primary Responsibilities: Implement Generative AI Models: Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing data or inputs Data Processing: Collaborate with stakeholders to preprocess, analyze, and interpret extensive datasets Model Deployment: Deploy generative AI models into production environments, ensuring scalability and robustness Optimization: Conduct model testing, validation, and optimization to enhance performance Integration: Work with cross-functional teams to seamlessly integrate generative AI solutions into products Research: Stay current with the latest advancements in generative AI technologies and practices Agentic AI Framework: Utilize the Agentic AI framework to coordinate multiple AI agents for the completion of complex tasks Mentorship: Provide mentorship to junior team members and offer technical guidance Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering with a focus on AI/ML Experience with data preprocessing and analysis Knowledge of the Agentic AI framework and its application in AI systems Proficiency in machine learning frameworks such as TensorFlow and PyTorch Solid programming skills in Python, Java, or C++ Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) Proven excellent problem-solving abilities and algorithmic thinking Proven solid communication and teamwork skills Preferred Qualifications: Experience with data processing Knowledge of version control systems like Git Understanding of Generative AI, associated technologies and frameworks like RAG, agents etc.

Should lead key initiatives in GenAI COE on new tech trends, R and D on new product POC Work on proposals, Provide solutions architecture design solution on different business use cases Ability to work across various different GenAI Models and cloud providers Should have a strong experience in implementing projects in Digital Engineering Or Data Analytics Technically lead a team of developers and groom talent Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API based scalable solutions and debug & troubleshoot software or design issues Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints. Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS Basic data engineering skills to load structured & unstructured data from source systems to target data stores. Build and maintain data pipelines and infrastructure to support Hands on exposure to using cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and should be hands on in using Agentic AI Framework, RAG

Check full JD and apply here - https://app.fabrichq.ai/jobs/520384e9-7af4-4614-a7b7-9f14e98c183d Role & responsibilities Ecotech is seeking an AI Engineer with 3-5 years of experience in developing and deploying ML, DL, and NLP solutions. The role involves building scalable AI models for business intelligence, process automation, and predictive analytics. The ideal candidate will lead end-to-end AI project lifecycles and collaborate with cross-functional teams. Key Responsibilities Design, develop, and deploy Machine Learning and Deep Learning models for applications such as object detection, image processing, predictive analytics, and NLP-based applications Lead the end-to-end lifecycle of AI projects from data collection to model deployment and optimization Collaborate with cross-functional teams to integrate AI solutions into existing business systems Enhance operational efficiency and automate processes through intelligent solutions Maintain high standards of quality, compliance, and scalability in AI models

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

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.