Job Description
Job Description:
We are seeking a highly skilled Senior AI/ML Engineer with 11+ years of experience in artificial intelligence, machine learning, and production-grade software engineering. This role serves as a critical bridge between cutting-edge research and scalable enterprise solutions.
The ideal candidate will own the full AI lifecycle—from architecting advanced neural networks and fine-tuning Large Language Models (LLMs) to building robust MLOps pipelines and enabling scalable AI platforms within Databricks. As a senior technical leader, you will champion engineering best practices, mentor junior engineers, and translate complex business challenges into impactful AI-driven applications.
Key Responsibilities:
- Design, develop, and deploy scalable ML models including regression, forecasting, and deep learning architectures.
- Lead LLM integration and fine-tuning using techniques like LoRA and PEFT while optimizing performance and cost.
- Build and automate MLOps pipelines in Databricks using Docker, FastAPI, and serverless solutions.
- Develop user-facing AI tools and ensure seamless system integration.
- Maintain data quality, infrastructure reliability, and platform scalability.
- Mentor junior engineers and collaborate with cross-functional teams to drive AI adoption.
Technical Qualifications
- 11+ years of experience in AI/ML engineering and software development.
- Advanced Python expertise including pandas, polars, NumPy, scikit-learn, and PyTorch.
- Strong hands-on experience with Generative AI, prompt engineering, and LLM fine-tuning.
- Experience evaluating model performance, latency, and scalability.
- Hands-on experience with AWS or Azure cloud platforms.
- Strong understanding of Git, Docker, CI/CD, and modern development workflows.
- Expertise in data cleaning, feature engineering, and visualization (e.g., Seaborn).
- Deep knowledge of Databricks including AutoML and model lifecycle automation.
- Experience building APIs using FastAPI and deploying scalable AI solutions.