AI/ML Engineers to implement AI deployments (Azure AI & GCP) in India | 40 hours a week

Need to hire 4 Freelancers Job Title: AI/ML Engineer (Full-Time, Freelance) Job Type: Full-Time (Freelance, 40 hours per week) Location: Remote (Primarily IST, with occasional Pacific Time meetings) Job Summary: We are seeking a highly skilled Senior AI/ML Engineer to design, implement, and deploy AI/ML solutions that drive innovation and efficiency. The ideal candidate will have extensive experience in LangChain, CrewAI, GenAI, NLP, RAG systems, and cloud platforms (AWS, Azure, GCP), and be adept at building AI-driven applications. This role is a full-time freelance position, requiring 8-hour workdays as part of a Scrum team, with occasional meetings in Pacific Time but most work done in IST. Key Responsibilities: AI/ML Solution Development: Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability and efficiency. Develop and optimize LangChain (agents, chains, memories, parsers, document loaders), CrewAI, GenAI, and NLP models for specific use cases. Build and deploy production-ready Retrieval-Augmented Generation (RAG) systems, chatbots, and AI-driven applications using OpenAI APIs, Ollama, Llama, and llamaparse. Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, to enhance AI model interactions. Cloud & Deployment: Leverage Azure and GCP services, including Lambda functions (event-driven architecture in Python), to deliver high-performing AI solutions. Utilize AWS services, particularly AWS Bedrock and Lambda functions. Develop and maintain CI/CD pipelines, manage YML files, and work with GitHub for version control. Use Docker for containerization and deployments in cloud environments. Best Practices & Collaboration: Ensure solutions adhere to best practices in system design, security, performance optimization, and scalability. Implement responsible AI practices, incorporating guardrails and moderation mechanisms. Collaborate with cross-functional teams to translate AI insights into impactful business solutions. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Qualifications: 4+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and Python programming. Expertise in AWS services, particularly AWS Bedrock and Lambda functions. Proven experience with RAG systems, chatbot development, and GenAI technologies like LLMs and OpenAI APIs. Deep understanding of LangChain components and advanced NLP techniques. Strong knowledge of Docker and CI/CD pipelines, with experience in writing YML files and managing repositories in GitHub. Familiarity with best practices in system design, including security, performance, and scalability. Ability to write high-quality production code and work in collaborative environments. Work Schedule: 40 hours per week (Full-Time Freelance). Part of a Scrum team, working 8 hours per day. Most work can be done in IST, but occasional meetings in Pacific Time may be required.