Principal AI/ML Engineer

Job Summary: Overall, 12-15 Years with 5-6 years’ experience in AI/ML Must have skill : Python/Java, TensorFlow / PyTorch, LangChain, Hugging Face. Hands-on with LLMs, embeddings, fine-tuning, and vector databases (FAISS, Pinecone, Chroma, etc.). Familiarity with NLP, text summarization, classification, semantic search, and RAG pipelines. Understanding of data engineering pipelines. Role Overview We are seeking a seasoned Principal AI/ML Engineer to lead the design, development, and deployment of cutting-edge AI/ML solutions. This role requires a visionary leader who can define technical strategy, mentor teams, and drive innovation in Generative AI, LLMs, and advanced machine learning techniques. Key Responsibilities - • Architect AI/ML Solutions: Define and implement scalable AI/ML architecture, frameworks, and standards. • End-to-End Model Lifecycle: Oversee data preparation, model training, deployment, and performance monitoring. • MLOps Excellence: Build robust ML Ops pipelines and reusable components for production-grade systems. • Leadership & Mentorship: Guide senior engineers and cross-functional teams to deliver impactful AI solutions. • Innovation in Generative AI: Drive adoption of LLMs, Retrieval-Augmented Generation (RAG), and advanced ML methodologies. • Governance & Compliance: Ensure adherence to AI governance, fairness, security, and ethical principles. • Strategic Alignment: Collaborate with business and product leaders to align AI initiatives with organizational goals. Required Skills & Experience • Technical Expertise: o Strong proficiency in Python, TensorFlow/PyTorch, Scikit-learn, and Transformers. o Hands-on experience with LLM fine-tuning, RAG, and vector databases (FAISS, Pinecone). • MLOps & Cloud Platforms: o Proficient in MLflow, Airflow, Docker, Kubernetes. o Experience with AWS SageMaker, GCP Vertex AI, or Azure ML. • Data & Governance: o Deep understanding of data engineering, model governance, and AI ethics. • Leadership Skills: o Excellent communication, stakeholder management, and ability to influence at all levels.