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LTIMindtree
LTM - Data Science Specialist - Machine Learning/Generative AI
LTIMindtree
Pune•On-site•6-9 Yrs•Jun 30
Job description
Overview
We are looking for a highly skilled and experienced Data Science Specialist with strong expertise in Python, Traditional Machine Learning, and Generative AI technologies.
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.
- 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.
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.
- Strong knowledge of Docker, Kubernetes, and containerized application deployment.
- Understanding of CI/CD pipelines and DevOps practices.
- Exposure to LLM monitoring and observability platforms/tools.
- Strong analytical, problem-solving, and communication skills.
- Understanding of vector databases, embeddings, and RAG architectures.
- Familiarity with MLOps and AI governance practices.
- Exposure to enterprise-scale AI deployments and performance optimization. Job Summary :