Senior Machine Learning Engineer - Artificial Intelligence / Generative AI

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.

(ref : hirist.tech)