ML Engineer

Job Description:

1. Experience in deploying ML models to production

2. Understanding of MLOps, CI/CD, APIs, containers, and orchestration tools

3. Good grasp of system design, scalability, reliability, and performance

4. Experience in machine learning concepts; especially timeseries forecasting techniques.

5. Proficient in SQL and Python for data querying, analysis, and automation

6. Solid understanding of statistical concepts (e.g., descriptive statistics, probability, hypothesis testing, regression)

7. Experience with at least one major cloud platform (AWS, Azure, or Google Cloud) is desirable

8. Developing Generative AI applications with LangChain, including Retrieval-Augmented Generation (RAG), and Agentic AI solutions using LangGraph is desirable.