Lead AI/ML Engineer

Job Summary :

We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies - including large language models (LLMs), computer vision, machine learning, and data science - to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments.

Key Responsibilities :Leadership & Strategy :

• Drive the technical vision and roadmap for AI/ML and Generative AI initiatives.

• Lead and mentor a team of AI/ML engineers and data scientists, conducting regular code reviews and guiding solution architecture.

• Collaborate with cross-functional stakeholders to translate business problems into scalable AI/ML solutions.

• Own the AI/ML lifecycle - from prototyping and experimentation to production deployment and monitoring.

Generative AI & LLMs :

• Architect and lead the development of scalable Generative AI solutions using AWS Cloud and modern frameworks.

• Deep experience in working with large language models (LLMs) including fine-tuning, evaluation, and deployment.

• Expertise in prompt engineering, agentic workflows, and custom LLM development.

• Proficient with Langchain, Langgraph, Langfuse, Crew AI, and other GenAI frameworks.

• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications.

Machine Learning & Data Science :

• Solve complex machine learning problems using supervised, unsupervised, and deep learning methods.

• Lead the implementation of ML pipelines including automated data preprocessing, training, validation, and monitoring.

• Manage ML lifecycle using AWS SageMaker, including model versioning, drift detection, and retraining strategies.

• Apply advanced analytics, time series forecasting, and predictive modeling techniques.

Skills & Qualifications :

• 6+ years of experience in AI/ML, with at least 3 years in Generative AI and LLMs.

• Strong proficiency in Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost.

• Deep understanding of LLMs including OpenAI (GPT-4, GPT-4o), Claude, Gemini, LLaMa, DeepSeek, etc.

• Proficiency with GenAI tooling : Langchain, Langfuse, Crew AI, LLAMA Index, Langgraph, etc.