Lead Data Science Engineer

S&P Global; Hyderabad; On-site; INR 20,00,000 - 30,00,000; Full time

Job summary

A leading global information provider is seeking an AI/ML Lead – Software Engineering to design and implement innovative machine learning models. The ideal candidate will possess a strong background in data science and have over 10 years of software development experience. Responsibilities include collaborating with cross-functional teams and overseeing AI/ML project lifecycles. This role requires strong programming skills in Python and experience within the AWS ecosystem.

Qualifications

• 10+ years of software development experience, including 3+ years in machine learning.
• Experience with Large Language Models and Generative AI frameworks.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, implement, and optimize machine learning models and algorithms.
• Collaborate with cross-functional teams to develop innovative solutions.
• Lead machine learning projects from concept to deployment.

Skills

Machine learning

Data Science

Python

API development

AWS ecosystem

Cloud security

DevOps practices

Relational databases

Deep learning

Data preprocessing

Education

Bachelor's or master’s degree in computer science

Tools

FastAPI

Flask

Docker

Terraform

CloudFormation

Job description

About the Role:

AI/ML Lead – Software Engineering

We are seeking a highly skilled and motivated AI/ML Engineer Lead to join our team. The ideal candidate will have a strong background in machine learning and data science, with experience working on large-scale machine learning projects. As a Machine Learning Engineer, you will be responsible for designing, implementing, and optimizing machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to develop innovative solutions that drive business growth.

Requirements:

• Bachelor’s or master’s degree in computer science, Data Science, or a related technical discipline.
• Total 10+ years of overall all software development experience with 3+ years of hands-on experience in machine learning or AI application development, with a proven track record of delivering production-grade solutions.
• Strong programming proficiency in Python, with demonstrated experience in API development using FastAPI or Flask.
• Backend development experience in C# or Java is considered an added advantage.
• Solid experience in developing AI solutions within the AWS ecosystem, including hands-on use of the following services: Amazon Bedrock, SageMaker, Lambda, API Gateway, and S3 etc.
• Practical knowledge and implementation experience with Large Language Models (LLMs) and Generative AI frameworks, such as: LangChain, Llama Index, or custom RAG (Retrieval-Augmented Generation) architectures.
• In-depth understanding of RAG systems, including embedding generation, document chunking, retrieval, and response synthesis.
• Experience with vector databases (e.g., Pinecone, FAISS, OpenSearch), text embeddings, and prompt engineering is added advantage.
• Strong understanding of cloud security, including OAuth 2.0-based authentication, IAM policies, and secure API design.
• Familiarity with DevOps practices and tools, including CI/CD pipelines, Docker, and Infrastructure as Code (IaC) tools such as CloudFormation, AWS CDK, or Terraform.
• Proficiency in relational databases (e.g., SQL) and data modelling.
• Solid grasp of machine learning algorithms and techniques, including deep learning architectures.
• Skilled in data preprocessing, feature engineering, and data manipulation using modern data science tools and libraries.
• Demonstrated experience working across the full AI/ML project lifecycle — from business requirements analysis to model deployment and productization.
• Strong analytical and problem-solving skills, with a structured approach to debugging and optimization.
• Excellent communication and collaboration abilities, with experience working in cross-functional and agile teams.

People Skills

• Able to translate business problems into problems that can be solved with Data Science
• Able to communicate technical ideas effectively to non-technical audience
• Ability to work in a team
• Curious and open-minded attitude to new approaches

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.