14 Chroma Jobs

Company: Tech Tvara Underpinning LLP Location: Bangalore (WFO) Type: Full-time About the Role Be part of Tvaras AI-first team by building agentic AI systems and RAG pipelines using LangChain and Python. Youll create intelligent workflows, test models, and make AI systems usable in real-world business scenarios. Key Responsibilities Develop LangChain-based agents with memory, tool use, and reasoning. Implement RAG pipelines: document chunking, embeddings, and retrieval. Build evaluators to measure accuracy, latency, and safety of outputs. Integrate AI workflows with APIs, databases, and other backend services. Optimize inference for speed and cost efficiency. Document workflows and support sales/product teams with POCs. Requirements Proficiency in Python programming. Familiarity with LangChain/LangGraph or similar frameworks. Understanding of embeddings, retrieval, and vector databases (FAISS/Chroma/Supabase). Basic knowledge of AWS for deployment and scaling. Good problem-solving and experimentation mindset. Send your resume here : - [HIDDEN TEXT] Show more Show less

You are a skilled Python Developer with expertise in Machine learning and deep learning frameworks. Your primary responsibility will be to handle the entire prompt life cycle, including prompt design, template creation, tuning, and optimization for various GenAI base models. You will design and develop prompts tailored to project requirements and manage stakeholders across business and domains as needed for projects. Your tasks will include evaluating base models, benchmarking performance, implementing prompt guardrails to prevent attacks, developing, deploying, and maintaining auto prompt solutions, and setting minimum design standards for every use case involving prompt engineering. You will also be responsible for training machine learning and deep learning models. As a Python Developer, you will write reusable, testable, and efficient code using Python, design and implement low-latency, high-availability, and performant applications, implement security and data protection measures, integrate data storage solutions and API Gateways, and handle production change deployment and related support. Location: Chennai/Bangalore/Hyderabad Working hours: General Shift Key Skills: Gen AI, LLM, RAG, Lang chain, Mistral, Llama, Vector DB, Azure/GCP/Lambda, Python, Tensorflow, Pytorch, GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox Please note that the job description provided is based on the information available and may be subject to change.,

You are looking for a skilled Python Developer with knowledge of Machine learning and deep learning frameworks to join as a Gen AI Engineer at Wipro Limited. With 4 to 6 years of experience, you will be responsible for the entire prompt life cycle, including prompt design, template creation, tuning, and optimization for various GenAI base models. Your role will involve designing and developing prompts tailored to project requirements, managing stakeholders across business and domains, evaluating base models, and benchmarking performance. You will implement prompt guardrails to prevent attacks and develop, deploy, and maintain auto prompt solutions. Minimum design standards for each use case involving prompt engineering will also be under your purview. In addition, you will train machine learning and deep learning models, write reusable and efficient code using Python, implement low-latency, high-availability applications, ensure security and data protection, integrate data storage solutions and API Gateways, and handle production change deployment and related support. At Wipro, we are reinventing the digital landscape, and we are seeking individuals who are inspired by reinvention and continuous evolution. Join us in building a modern Wipro, a place that empowers you to design your own reinvention and realize your ambitions. We welcome applications from individuals with disabilities. For more information, visit us at www.wipro.com.,

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, 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 agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, 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 genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role Lead Consultant - Data Scientist - Generative AI of & Advanced Analytics Job Summary: We are looking for a highly motivated Data Scientist with experience in Generative AI (GenAI) to join our advanced analytics team. In this role, you will blend classical data science with cutting-edge GenAI techniques (LLMs, embeddings, RAG) to solve real-world business problems, build intelligent systems, and push the boundaries of AI adoption across domains. Key Responsibilities . Build and deploy Generative AI models using large language models (LLMs) like GPT,Gemini ,Claude, LLaMA, etc. . Design and develop Retrieval-Augmented Generation (RAG) pipelines for enterprise search and summarization. . Perform exploratory data analysis, feature engineering, and apply statistical methods to derive insights. . Work with vector databases (e.g., FAISS, Pinecone, Chroma) and embedding models for semantic search. . Develop and fine-tune prompts for prompt engineering, few-shot learning, and function calling. . Collaborate with product and engineering teams to design AI-driven features and solutions. . Conduct A/B testing, build dashboards, and contribute to ML pipelines in production. . Stay updated with GenAI research and open-source tools evaluate new models and frameworks. . solving high-impact problems involving structured and unstructured data using a wide range of ML/DL techniques. . The ideal candidate is hands-on, self-driven, and passionate about turning data into intelligent systems. . Strong Capabilities on SQL, Python, Vscode/pytorch and have come across using Tensorflow, Keras Qualifications we seek in you! Minimum Qualifications Required: . Bachelor%27s or master&rsquos degree in data science, Computer Science, Statistics, or a related field. . experience in data science, machine learning, or applied AI roles. . Hands-on experience with GenAI platforms (OpenAI, Anthropic, Hugging Face, Cohere, etc.). . Strong Python skills: pandas, scikit-learn, transformers, LangChain, etc. . Experience working with LLMs, embeddings, or chatbot development. . Familiarity with MLOps, model versioning, and deployment in cloud environments (AWS/GCP/Azure). . Experience with RAG architecture, vector databases, and knowledge graphs. . Prior work in text summarization, document intelligence, or multi-modal AI. . Understanding of LLM fine-tuning, PEFT/LoRA, and instruction-tuned models. . Publications, open-source contributions, or GenAI product demos are a strong plus. . Strong in Python, with experience in NumPy, pandas, scikit-learn. . Proficiency in TensorFlow, PyTorch, or JAX. . Familiarity with deep learning concepts: backpropagation, activation functions, loss optimization. . Experience with cloud platforms: AWS, GCP, or Azure. . Comfortable with version control, CI/CD pipelines, and containerized environments (e.g., Docker). Tools & Stack You&rsquoll Work With . LLMs: GPT-4, Gemini . Libraries: Hugging Face Transformers, LangChain, OpenAI API . Vector Stores: FAISS, Pinecone, Weaviate . ML Libraries: Scikit-learn, MLflow, DVC, PyTorch, TensorFlow, XGBoost, scikit-learn . Storage: PostgreSQL, S3, BigQuery . Deployment: Docker, FastAPI, Airflow, Kubernetes . Cloud: AWS/GCP/Azure Why join Genpact . Lead AI-first transformation - Build and scale AI solutions that redefine industries . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career&mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills . Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace . Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build . 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 140,000+ coders, 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.

Hello Connections, This is a REMOTE position. We are seeking a Staff LLMRAG Engineer to lead the development and optimization of enterprise-grade retrieval-augmented generation systems. You will architect scalable AI solutions, integrate large language models with advanced retrieval pipelines, and ensure production readiness. This role combines deep technical expertise with the ability to guide teams and deliver results on aggressive timelines. Most Important Skills/Responsibilities: Lead RAG Architecture Design Define and implement best practices for retrieval-augmented generation systems, ensuring reliability, scalability, and low-latency performance. Full-Stack AI Development Build and optimize multi-stage pipelines using LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, or custom). Programming & Integration Develop services and APIs in Python and Golang to support AI workflows, document ingestion, and retrieval processes. Search & Retrieval Optimization Implement hybrid search, vector embeddings, and semantic ranking strategies to improve contextual accuracy. Prompt Engineering Design and iterate on few-shot, chain-of-thought, and tool-augmented prompts for domain-specific applications. -Bachelors degree required - Strong proficiency in Python and Golang or RUST, with experience building high-performance services and APIs. Key Responsibilities Lead RAG Architecture Design Define and implement best practices for retrieval-augmented generation systems, ensuring reliability, scalability, and low-latency performance. Full-Stack AI Development Build and optimize multi-stage pipelines using LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, or custom). Programming & Integration Develop services and APIs in Python and Golang to support AI workflows, document ingestion, and retrieval processes. Search & Retrieval Optimization Implement hybrid search, vector embeddings, and semantic ranking strategies to improve contextual accuracy. Prompt Engineering Design and iterate on few-shot, chain-of-thought, and tool-augmented prompts for domain-specific applications. Mentorship & Collaboration Partner with cross-functional teams and guide engineers on RAG and LLM best practices. Performance Monitoring Establish KPIs and evaluation metrics for RAG pipeline quality and model performance. Qualifications Must Have: 8+ years in software engineering or applied AI/ML, with at least 2+ years focused on LLMs and retrieval systems. Strong proficiency in Python and Golang or RUST, with experience building high-performance services and APIs. Expertise in RAG frameworks (LangChain, LangGraph, LlamaIndex) and embedding models. Hands-on experience with vector databases (Databricks Vector Store, Pinecone, Weaviate, Milvus, Chroma). Strong understanding of hybrid search (semantic + keyword) and embedding optimization. -Bachelors degree required Preferred: LLM fine-tuning experience (LoRA, PEFT). Knowledge graph integration with LLMs. Familiarity with cloud ML deployment (AWS (preferred), Databricks, Azure). - Masters or PHD degree in CS Soft Skills Strong problem-solving and decision-making skills under tight timelines. Excellent communication for cross-functional collaboration. Ability to work independently while aligning with strategic goals. Show more Show less

About the Role We are seeking a Agentic AI Developer with 35 years of total software/AI experience and proven hands-on work in Agentic AI . The ideal candidate has built LLM-powered agents using frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel, and can design, deploy, and optimize autonomous AI systems for real-world business use cases. Key Responsibilities Architect, build, and deploy LLM-driven agents that can plan, reason, and execute multi-step workflows. Work with agent orchestration frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, Haystack, etc.). Develop and maintain tools, APIs, and connectors for extending agent capabilities. Implement RAG pipelines with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.). Optimize prompts, workflows, and decision-making for accuracy, cost, and reliability . Collaborate with product and engineering teams to design use-casespecific agents (e.g., copilots, data analysts, support agents). Ensure monitoring, security, and ethical compliance of deployed agents. Stay ahead of emerging trends in multi-agent systems and autonomous AI research . Required Skills 35 years of professional experience in AI/ML, software engineering, or backend development . Demonstrated hands-on experience in building agentic AI solutions (not just chatbots). Proficiency in Python (TypeScript/JavaScript is a plus). Direct experience with LLM APIs (OpenAI, Anthropic, Hugging Face, Cohere, etc.). Strong knowledge of vector databases and embeddings . Experience integrating APIs, external tools, and enterprise data sources into agents. Solid understanding of prompt engineering and workflow optimization . Strong problem-solving, debugging, and system design skills. Nice to Have Experience with multi-agent systems (agents collaborating on tasks). Prior contributions to open-source agentic AI projects . Cloud deployment knowledge ( AWS/GCP/Azure ) and MLOps practices. Background in reinforcement learning or agent evaluation . Familiarity with AI safety, monitoring, and guardrails . What We Offer Work on cutting-edge AI agent projects with direct real-world impact. Collaborative environment with strong emphasis on innovation & experimentation . Competitive salary and growth opportunities. Opportunity to specialize in one of the fastest-growing areas of AI . Show more Show less

At InfoBeans, we believe in making other people's lives better through our work and everyday interactions. As an AI ML Lead based in Indore/Pune with over 10 years of experience in Artificial Intelligence, your role will involve designing AI solutions using both traditional ML and GenAI approaches based on problem needs. You will lead the end-to-end implementation of ML projects, including data preparation, model development, deployment, and monitoring. Additionally, you will be responsible for building GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks like LangChain and LangGraph. Your responsibilities will also include conducting research and proof-of-concepts to evaluate emerging GenAI models and techniques, guiding and mentoring junior engineers, and reviewing designs, architecture, and code quality. You will develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, and Cohere, and build agentic AI systems involving tool use, memory, and reasoning frameworks. Furthermore, you will ensure that AI models are robust, explainable, and cost-efficient in production and collaborate with stakeholders to understand business goals and translate them into technical solutions. Communication of complex AI concepts to both technical and non-technical audiences is also a key aspect of this role. This strategic position will allow you to play a crucial part in shaping the AI offerings of the company, guiding teams, and solving complex problems using both modern and established AI techniques. In this role, you will enjoy a competitive package and work in an open workspace surrounded by smart and pragmatic team members. You will have ample opportunities for professional and personal growth in a learning culture that values teamwork, collaboration, diversity, excellence, compassion, openness, and ownership. To excel in this role, we are looking for an experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. You should have extensive experience in classical AI/ML and at least 3 years in GenAI, totaling 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. Your expertise should include 6-7 years in traditional ML/DL and 2-3 years in Generative AI. Proficiency with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers is essential, along with an understanding of the ML lifecycle and deep experience with LLMs and related tools. Strong communication, presentation skills, and a research mindset are also important for this role. If you possess the ability to quickly learn and adapt to new GenAI technologies, assess trade-offs between classic and generative AI techniques, and recommend the best-fit approach, we would like you to join our team and contribute to our AI initiatives.,

You will be joining a technology-driven publishing and legal-tech organization that is currently enhancing its capabilities through advanced AI initiatives. As an experienced AI Solution Architect, your role will involve leading the design, development, and deployment of transformative AI projects. You will work closely with a proficient internal team skilled in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA. Your responsibilities will include architecting, planning, and delivering enterprise-grade AI solutions utilizing Vector Databases like FAISS and Chroma, RAG Pipelines (Retrieval-Augmented Generation), and LLM techniques such as Pre-training, Fine-tuning, and RLHF (Reinforcement Learning with Human Feedback). You will lead AI solution design discussions, collaborate with engineering teams to integrate AI modules into systems, and guide junior AI engineers and developers on technical aspects. To excel in this role, you should hold a Bachelors or Masters in Computer Science, Engineering, AI/ML, or related fields and have at least 5 years of experience in software architecture with a focus on AI/ML system design and project delivery. Hands-on expertise in Vector Search Engines, LLM Tuning & Deployment, RAG systems, RLHF techniques, and working with multi-tech teams is essential. Strong command over architecture principles, scalability, microservices, API-based integration, and excellent team leadership skills are also required. It would be advantageous if you have experience with tools like MLflow, Weights & Biases, Docker, Kubernetes, Azure/AWS AI services, exposure to data pipelines, MLOps, AI governance, familiarity with enterprise software lifecycle, and DevSecOps practices. Prior experience in delivering a production-grade AI/NLP project with measurable impact is a plus. Stay updated on emerging AI trends and assess their relevance to business objectives to drive AI adoption across products and internal processes.,

You will be joining a technology-driven publishing and legal-tech organization that is currently expanding its capabilities through advanced AI initiatives. With a strong internal team proficient in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA, we are seeking an experienced AI Solution Architect to lead the design, development, and deployment of transformative AI projects. As an AI Solution Architect, you will play a critical role in designing and delivering enterprise-grade AI solutions. Your responsibilities will include architecting, planning, and implementing AI solutions using Vector Databases, RAG Pipelines, and LLM techniques. You will lead AI solution design discussions, collaborate with engineering teams to integrate AI modules, evaluate AI frameworks, and mentor junior AI engineers and developers. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related fields, along with at least 5 years of experience in software architecture with a focus on AI/ML system design and project delivery. Hands-on expertise in Vector Search Engines, LLM Tuning & Deployment, RAG systems, and RLHF techniques is essential. You should also have experience working with multi-tech teams, strong command over architecture principles, and excellent team leadership skills. Experience with tools like MLflow, Weights & Biases, Docker, Kubernetes, and Azure/AWS AI services would be a plus. Exposure to data pipelines, MLOps, and AI governance, as well as familiarity with enterprise software lifecycle and DevSecOps practices, are also desirable. If you are passionate about AI technology, have a proven track record of delivering AI projects, and enjoy leading and mentoring technical teams, we encourage you to apply for this exciting opportunity to drive AI adoption across products and internal processes.,

Crew AI Engineer Remote Contractual-6 months Job Description : We are looking for people with strong python skills, knowledge of multi agent frameworks like Crew AI, knowledge of RAG concepts mandatory. Good conceptual knowledge of LLM concepts Langraph and Langchain Required Skills : 5-8 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations.

About Us We are a cutting-edge AI innovation company developing intelligent agents that transform the way businesses operate. Our mission is to push the boundaries of what's possible with large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration. We work with top-tier clients across industries to deliver agentic systems that solve real-world business problems with speed, scale, and intelligence. Role Overview Were looking for an AI Agent Engineer to design, build, and refine advanced autonomous agents that operate across complex environments. Youll work at the intersection of technical architecture, AI-driven solution consulting, and system designcollaborating closely with business leaders, developers, and product teams to create production-ready, intelligent systems. This is an ideal role for engineers who are passionate about the future of AI, thrive on experimentation, and want to shape the next generation of automation through LLMs and multi-agent workflows. Key Responsibilities Core Engineering Architect and implement end-to-end AI agents using LangGraph, AutoGen, CrewAI, and other multi-agent frameworks (e.g., MCP, A2A). Design, iterate, and optimize prompts to support reliable and accurate agent performance in business-critical use cases. Integrate leading LLMs (GPT-4, Claude, Gemini, open-source alternatives) into real-time workflows and internal systems. Implement RAG architectures using vector databases such as Qdrant, Chroma, or Weaviate to ground agent responses in relevant context. Connect agents to APIs, external tools, document stores, and operational platforms to support intelligent decision-making. Collaboration & Consulting Translate client and internal requirements into AI-first system designs and architecture. Consult with product managers, sales engineers, and data teams to align AI solutions with business priorities and feasibility. Support implementation through technical documentation, design reviews, and hands-on problem-solving. Innovation & Enablement Lead test-and-learn initiatives and proof-of-concepts to validate agent performance and business value. Stay current on rapid developments in the LLM and multi-agent ecosystem and drive adoption of new capabilities. Contribute to the internal AI platform with tools, patterns, and reusable components to accelerate development. Provide training and support to technical and non-technical stakeholders to drive adoption and governance. Qualifications Must-Have: 3+ years of experience in AI/ML engineering or intelligent system development. Strong Python programming skills, with hands-on experience in prompt engineering and LLM workflows. Experience with frameworks such as LangGraph, CrewAI, AutoGen, LangChain, or similar agent development tools. Proficiency in implementing RAG architectures and working with vector databases (e.g., Qdrant, Chroma, Weaviate). Integration experience with APIs, databases, and frontend or workflow tools. Demonstrated success in consulting, technical sales, or AI solution architecture. Awareness of AI safety, compliance, and responsible development practices. Nice-to-Have: Familiarity with orchestration tools like n8n, Replit, or low-code AI automation platforms. Experience in enterprise domains such as insurance, healthcare, legal tech, or customer service. Exposure to multi-modal systems (text + vision) or knowledge graphs. MLOps or AI infrastructure experience in cloud environments (AWS, Azure, GCP Youll Thrive In This Role If You: Are energized by building systems that operate autonomously and adaptively in real-world scenarios. Can quickly move from ideation to implementation with a test-and-learn mindset. Stay at the forefront of LLM advancements and understand how to apply them to business problems. Communicate effectively across disciplines and help bridge product, engineering, and customer value. Thrive in a fast-paced, experimental environment that balances deep technical rigor with user impact. Why Join Us Work on frontier problems in AI agent design and autonomous systems. Collaborate with top-tier clients and industry-leading experts. Flexible work culture built around autonomy, innovation, and continuous learning. Competitive compensation and opportunities for high-impact contributions.

• We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Required Candidate profile • Design and develop prompts suiting project needs • Stakeholder management across business and domains as required for the projects • Evaluating base models and benchmarking performance

Job Overview: We are looking for a highly skilled AI & Agentic Developer to design, build, and deploy intelligent autonomous systems. This role involves developing AI-powered agents that can perceive, reason, and act independently, leveraging LLMs, reinforcement learning, and multi-agent systems. You will work on cutting-edge AI frameworks like LangChain, AutoGen, CrewAI, and MLOps pipelines for scalable deployment. Key Responsibilities: AI & Machine Learning Development: Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models. Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models. Optimize retrieval-augmented generation (RAG) systems with vector databases (FAISS, Pinecone, Chroma). Work on multimodal AI systems integrating text, image, and audio processing. Agentic AI Systems Development: Build autonomous AI agents that can make decisions, learn from feedback, and interact with environments. Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, MetaGPT. Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment. Software Engineering & MLOps: Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines. Implement MLOps workflows for continuous training, monitoring, and model retraining. Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing. AI Governance & Security: Implement AI safety measures, including adversarial defense and bias mitigation. Ensure compliance with AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles. Secure AI agents against prompt injection, model poisoning, and adversarial attacks. Required Skills & Qualifications: Technical Skills: Strong programming skills in Python, Java, or R. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with LLMs & NLP (Hugging Face, OpenAI API, BERT, GPT, Claude). Proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen). Knowledge of reinforcement learning (PPO, A3C, DDPG, SAC). Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs. Strong foundation in MLOps, cloud AI services (AWS, Azure AI, Google Vertex AI). Soft Skills: Strong analytical and problem-solving skills. Ability to work in a fast-paced, cross-functional team. Excellent communication and documentation skills.

• We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Required Candidate profile • Design and develop prompts suiting project needs • Stakeholder management across business and domains as required for the projects • Evaluating base models and benchmarking performance