Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
Job Title: AI/ML Engineer
Strong experience in building robust machine learning pipelines in production :
Kubernetes and Docker: Hands-on experience in deploying and managing containerized applications using Kubernetes and Docker for scalable and resilient infrastructure in MLOps environments.
Understanding of ML gateway and load balancing
Understanding of machine learning lifecycle, model building process, ability to build model implementation pipelines, model evaluation , drift detection, etc
Kafka: Experience with Kafka for efficient data streaming and real-time data processing in distributed systems.
Data monitoring tools such as DataDog or similar technology
Knowledge of working with Vertex AI
Experience in setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines, automating testing, deployment, and monitoring processes in MLOps and DevOps workflows.
Git, Control M, ETL experience
Python: Strong hands-on experience in writing production-level Python code, essential for scripting and automation in MLOps workflows.