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 Healthcare.

Key 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 standards.

Required 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 practices.

Preferred 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 principles.

Education :

- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.

Why Join Us :

- Work on cutting-edge GenAI and ML solutions impacting real-world healthcare and life sciences.

- Be part of an agile and innovative AI Center of Excellence.

- Access to leading tools, technologies, and models.

- Collaborative culture with a focus on continuous learning and professional growth.