Machine Learning Engineer
5 days ago
Job Summary:
We are looking for a Machine Learning Engineer to build, deploy, and optimize ML solutions at scale. The candidate will work across the ML lifecycle from data preparation and feature engineering to model deployment and monitoring — using modern MLOps tools and cloud services.
Key Responsibilities:
- Build and deploy scalable ML models and APIs using FastAPI and AWS (SageMaker, Bedrock, Kendra).
- Perform EDA, feature engineering, and model management.
- Manage end-to-end ML pipelines, including MLOps, CI/CD, and model monitoring.
- Collaborate with data engineers and product teams to deploy production-ready models.
- Work on Time Series, Forecasting, Image/Video Analytics, and NLP use cases.
Required Skills:
- Strong in Python, FastAPI, and REST APIs.
- Proficient in ML model development, Hyperparameter tuning, and Statistics.
- Experience with AWS cloud services and model lifecycle tools.
- Strong understanding of probability, hypothesis testing, and statistical models.
Preferred Skill:
- Hands-on with LangChain, LLAMAIndex, and RAG-based systems.
- Knowledge of Generative AI, LLMs, and foundation model tuning.
- Familiarity with Docker, Kubernetes, and PySpark.
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