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Lead AI/ML Engineer
1 month ago
About the Role Architect scalable ML pipelines, services, and platforms using modern cloud and MLOps practices. Responsibilities Build, fine-tune, and integrate Generative AI models (LLMs, Vision Models, Multimodal Models) into business applications. Work with agentic AI frameworks to design autonomous and semi-autonomous AI agents. Collaborate with cross-functional stakeholders to translate business needs into AI-driven solutions. Review code, guide junior engineers, and ensure best practices in model development and deployment. Evaluate new tools, frameworks, and approaches to keep the AI ecosystem cutting-edge. Qualifications 8–10 years of hands-on experience in Machine Learning, Deep Learning, and AI Engineering. Prior experience architecting AI/ML systems, including solution design, model lifecycle management, and scalability considerations. Required Skills Strong expertise in: Python, ML frameworks (TensorFlow / PyTorch) Model training, optimization, and evaluation Data engineering concepts & ML pipeline automation Deep understanding of GenAI, including LLMs, prompt engineering, fine-tuning, embeddings, vector DBs, and RAG. Hands-on experience with agentic AI frameworks (LangChain, AutoGen, LlamaIndex, or similar). Cloud experience (AWS, Azure, or GCP) with MLOps tools such as SageMaker, Vertex AI, MLflow, Kubeflow, etc. Strong problem-solving abilities with the ability to convert business challenges into AI-based solutions.
