Reveille Technologies

15 hours ago

Chennai, India Reveille Technologies Full time

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 :- 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. (ref:hirist.tech)

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