AI Developer

You are an experienced Python AI Developer with 47 years of hands-on experience in real-world AI/ML solutions. Your role will involve building, deploying, and maintaining scalable AI systems in production, focusing on Machine Learning, Deep Learning, LLMs, Agents, and NLP. Strong software engineering fundamentals, practical deployment experience, and a deep understanding of classical and modern AI approaches are essential for this role. Key Responsibilities: - Build, fine-tune, and deploy Large Language Models (LLMs) and AI agents for real-world use cases such as chatbots, summarization, RAG systems, and recommendation engines. - Develop and deploy production-grade models with CI/CD pipelines, monitoring, logging, and rollback strategies. - Integrate AI systems with SQL/NoSQL databases like PostgreSQL, MongoDB, and Redis. - Utilize cloud services (AWS or Azure) for model training, deployment (e.g., SageMaker, Azure ML), and orchestration (e.g., Lambda, Functions, Batch). - Collaborate with cross-functional teams, including Data Engineers, Product Managers, and DevOps, to ensure scalable and maintainable solutions. - Conduct performance tuning, A/B testing, and continuous optimization of deployed models. - Stay updated with the latest AI research and apply relevant advancements to existing products. Required Skills & Experience: - 47 years of experience in Python programming, focusing on AI/ML systems. - Proven experience in deploying AI models in production, beyond building POCs. - Expertise in Machine Learning, Deep Learning, and Natural Language Processing (NLP). - Strong hands-on experience with LLMs (OpenAI, Claude, Mistral, LLaMA, etc.) and agentic workflows. - Experience with model serving tools like FastAPI, Django, Flask, Docker, and Kubernetes. - Familiarity with SQL/NoSQL databases such as PostgreSQL, MongoDB, Redis, or DynamoDB. - Experience with Vector Databases like FAISS, Pinecone, Weaviate. - Solid understanding of cloud services: AWS (SageMaker, Lambda, S3, ECS) or Azure (Azure ML, Blob Storage, Functions). - Experience working with APIs, microservices, and distributed systems. Nice to Have: - Exposure to RAG (Retrieval Augmented Generation) or multi-agent orchestration frameworks like LangChain or Haystack. - Knowledge of data privacy, security, and compliance in ML systems. - Contributions to open-source AI/ML projects or research publications. Please share your resumes to preethi.nair@pearlsofttechnologies.co.in (Note: No additional details of the company are included in the provided job description),