Reveille Technologies - Senior Artificial Intelligence / Machine Learning Engineer

Job Title : Senior AI / ML Engineer - GenAI & ML Focus.

Location : Chennai.

Experience : 5+ Years.

Department : AI Practice / Data Science.

Employment Type : Full-time.

About the Role :

We are seeking a highly skilled and innovative Senior AI / ML Engineer to join our growing AI Practice.

This role offers a unique opportunity to work at the forefront of Generative AI (GenAI) and Machine Learning (ML) applications, with a strong emphasis on building and deploying LLM-driven solutions and cloud-native AI pipelines.

As part of a collaborative and fast-paced environment, you will design, develop, and scale AI systems that address complex challenges in Life Sciences and Responsibilities :

• Design and deploy end-to-end ML and GenAI solutions (e.g., LLM-powered search, summarization, predictive modeling).
• Build scalable ML pipelines using MLflow, Databricks, and AWS Sagemaker.
• Develop RESTful APIs and inference services using FastAPI, Docker, and microservices architecture.
• Work with diverse data formats (structured and unstructured : CSV, JSON, PDFs, EMRs).
• Optimize data processing workflows using PySpark, SQL, and AWS RDS.
• Integrate and operationalize foundation models and LLMs (e.g., OpenAI, Cohere, Claude, AWS Bedrock).
• Monitor and maintain production ML systems, ensuring performance, reliability, and governance.
• Collaborate with cross-functional teams across data engineering, cloud, and product.
• Document model lineage, metadata, and performance in compliance with regulatory Qualifications :
• 5+ years of hands-on experience in AI / ML engineering.
• Proficient in Python, with experience in FastAPI, PySpark, and SQL.
• Strong understanding of machine learning workflows and best practices (training, validation, deployment).
• Expertise in MLflow for experiment tracking, model versioning, and CI / CD.
• Demonstrated experience in Generative AI, LLMs, and prompt engineering.
• Working knowledge of Databricks, Delta Lake, and AWS services (S3, EC2, Lambda, RDS, Bedrock).
• Familiarity with Docker, GitLab CI / CD, and cloud DevOps Qualifications :
• Experience in the Life Sciences or Healthcare domain (e.g., clinical data, EMRs, RWD / RWE).
• Familiarity with HIPAA, GDPR, or GxP guidelines for AI workflows.
• Exposure to vector databases (FAISS, Pinecone) and RAG (retrieval-augmented generation).
• Understanding of model monitoring, drift detection, and responsible AI :
• Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.

Why Join Us :

(ref : hirist.tech)