LTM - Data Science Specialist - Machine Learning/Generative AI

Job Summary :

We are looking for a highly skilled and experienced Data Science Specialist with strong expertise in Python, Traditional Machine Learning, and Generative AI technologies.

The ideal candidate should have hands-on experience in building, deploying, and evaluating production-grade Gen AI solutions along with a solid understanding of statistical concepts, MLOps practices, and cloud-native deployment environments.

Key Responsibilities :

- Design, develop, and deploy scalable machine learning and Generative AI solutions for enterprise use cases.

- Build and optimize traditional machine learning models using Python and relevant ML frameworks.

- Work on production-grade Gen AI applications including Retrieval-Augmented Generation (RAG) systems and LLM-powered solutions.

- Develop and implement evaluation methodologies for Gen AI systems using benchmark datasets and ground truth-based evaluation techniques.

- Utilize evaluation frameworks such as RAGAS, DeepEval, and LLM-as-a-Judge approaches to assess model quality, relevance, and performance.

- Collaborate with cross-functional teams including engineering, product, and business stakeholders to understand requirements and deliver AI-driven solutions.

- Build APIs and deploy AI/ML services using FastAPI and containerized environments.

- Manage deployments using Docker and Kubernetes for scalable and reliable production environments.

- Work on CI/CD pipelines to automate model deployment, testing, and monitoring workflows.

- Monitor and maintain LLM applications using observability and monitoring tools to ensure performance, reliability, and governance.

- Perform statistical analysis and data preprocessing to improve model accuracy and business outcomes.

- Stay updated with the latest advancements in AI/ML, Generative AI, and MLOps technologies.

Required Skills & Qualifications :

- 6 to 8 years of experience in Data Science, Machine Learning, or AI-related roles.

- Strong programming expertise in Python.

- Hands-on experience with traditional Machine Learning algorithms and frameworks.

- Strong understanding of statistics and data analysis concepts.

- Proven experience in delivering production-grade Generative AI projects.

- Familiarity with Gen AI evaluation frameworks such as RAGAS, DeepEval, and LLM adjudication methodologies.

- Experience with benchmark dataset evaluation and ground truth validation techniques.

- Strong knowledge of Docker, Kubernetes, and containerized application deployment.

- Experience in developing APIs using FastAPI.

- Understanding of CI/CD pipelines and DevOps practices.

- Exposure to LLM monitoring and observability platforms/tools.

- Strong analytical, problem-solving, and communication skills.

Preferred Qualifications :

- Experience with cloud platforms such as AWS, Azure, or GCP.

- Understanding of vector databases, embeddings, and RAG architectures.

- Familiarity with MLOps and AI governance practices.

- Exposure to enterprise-scale AI deployments and performance optimization.