Sr. Machine Learning Engineer - Machine Learning Engineer to lead the development of cutting-edge Generative AI applications and scalable AI platforms. This is a high-impact technical leadership role for professionals passionate about LLMs, NLP, deep learning, and production-grade AI systems. Location: Open Experience: 8 Years Tech Stack: Python, SQL, PyTorch, TensorFlow, LangChain, AWS, NLP, RAG, Vector Databases, Kafka, Spark, Hadoop Key Responsibilities: - Architect, build, and scale GenAI applications and AI platforms - Develop ML pipelines, deploy NLP/deep learning models, and optimize performance using LoRA/QLoRA - Build reusable frameworks for deployment, monitoring, tracing, and alerting - Implement AI guardrails, compliance workflows, and production rollout strategies - Work on advanced GenAI workflows including RAG, model chaining, dynamic prompting, PEFT/SFT - Collaborate with Data Scientists, Product Managers, and Engineers to deliver impactful AI solutions - Mentor teams and drive best practices in ML engineering and MLOps Required Skills: Strong experience with Python, SQL, and cloud platforms (AWS) Expertise in PyTorch, TensorFlow, GPU optimization, and production ML systems Hands-on experience with LangChain, vector databases, embeddings, and semantic search Deep understanding of Transformers, Self-Attention, and LLM fundamentals Experience with big data tools such as Spark, Hadoop, and Kafka Strong knowledge of CI/CD, testing automation, monitoring, and software engineering best practices If you are passionate about building scalable and ethical AI systems that create real business impact, wed love to connect with you.