Lead/Senior AIML 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.

Computer Vision • Design and deploy advanced computer vision models for tasks such as classification, object detection, segmentation, and image captioning. 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. • Experience working with vector databases (Pinecone, FAISS, OpenSearch, Chroma) and indexing strategies. • Hands-on with deep learning frameworks such as PyTorch and TensorFlow. • Strong experience with AWS services: SageMaker, Bedrock, DynamoDB, S3, Lambda, etc. • Proficiency in REST API development using FastAPI, Uvicorn, Flask, Docker, and related tools. • Strong database knowledge—both SQL (PostgreSQL) and NoSQL (DynamoDB). • Familiarity with caching systems like Redis and Memcached. • Strong communication skills and ability to lead discussions with both technical and non-technical stakeholders. Preferred: • Experience in leading enterprise-scale AI/ML deployments. • Contributions to open-source GenAI/ML projects. • Certifications in AWS AI/ML or equivalent.