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

We're looking for a seasoned - Senior Machine Learning Engineer- to design and scale AI/ML solutions, including - LLMs and GenAI applications- . You'll 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.

Join a team where innovation meets real-world AI impact.