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.
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.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
