Role Overview :

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.

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 lifecyclefrom 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 knowledgeboth 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.