Description :

Senior Machine Learning Engineer | AI/ML | AWS | LLMs

Were looking for a seasoned Senior Machine Learning Engineer to design and scale AI/ML solutions, including LLMs and GenAI applications. Youll build and optimize data and model pipelines, work with cloud-native ML platforms, and collaborate with data scientists to deploy models that drive business impact.

Key Responsibilities :

- Build and optimize complex data/model pipelines using AWS (Glue, SageMaker).

- Integrate and monitor ML models in production.

- Apply ML, deep learning, and statistical techniques for predictive systems.

- Collaborate with data science teams for feature and dataset readiness.

- Ensure model monitoring, scalability, and data quality.

- Explore LLMs, RAG, and prompt engineering for enterprise solutions.

Requirements :

- 8+ years in ML/AI engineering; 3+ years hands-on AWS experience.

- Expertise in Python, PySpark, and ML frameworks.

- Strong knowledge of cloud (AWS/Azure), NoSQL, APIs, Docker, Kubernetes.

- Experience with ML lifecycle, model evaluation, and solution architecture.

- Familiar with GenAI, LLMs, Feature Store, and MLOps best practices.