We are looking for a Machine Learning Engineer to help us improve our AI products and create new ML applications. The ideal candidate will have outstanding skills in statistical analysis, machine learning methods, and feature engineering techniques.
Requirements
- BS or MS degree in Computer Science, AI/ML, Data Science or related field.
- 6+ Years hands on experience in AI/ML, Data Science.
- Knowledge of Python and related libraries.
- Ability to effectively write robust and testable code and design software architecture.
- Understanding of ML techniques for feature engineering, data preprocessing, data structures and modelling.
- Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications.
- Hands on experience in leveraging language models for information retrieval.
- Deep understanding of feature engineering techniques, statistics and machine learning algorithms (such as regression, classification, clustering, neural networks, etc.)
- Familiarity with AI platforms (e.g., TensorFlow, PyTorch), libraries (like scikit-learn) and cloud AI services (AWS, GCP, Azure).
- Experience in different data base technologies (like RDBMS, NOSQL)
- Experience in Containerization, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc.
- Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools
- Strong communication skills
- An analytical mind with problem-solving abilities
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.