Machine Learning Engineer

Job description Client is seeking a talented and motivated Machine Learning Engineer to join our team on a high-impact project with tight deadlines and a complex ML pipeline. This is an excellent opportunity for a strong technical contributor who thrives in a collaborative environment and can deliver results under pressure. You will play a key role in building, optimizing, and maintaining scalable machine learning systems that drive real business value. Key Responsibilities • Design, develop, and productionize robust machine learning pipelines in a fast-paced environment. • Collaborate closely with data scientists, engineers, and cross-functional teams to translate models into reliable, scalable production systems. • Own end-to-end aspects of the ML lifecycle, including data ingestion, feature engineering, model training, deployment, monitoring, and iteration. • Implement and maintain CI/CD workflows for ML systems to ensure rapid, reliable releases. • Troubleshoot and optimize complex pipeline issues to meet aggressive timelines. • Contribute to a positive, high-performing team culture through clear communication, knowledge sharing, and proactive problem-solving. Required Qualifications • Strong Python expertise with hands-on experience building production-grade ML applications. • Proven ability to work effectively in a team setting with tight deadlines and complex technical challenges. • Solid understanding of machine learning operations (MLOps) best practices. • Experience with containerization using Docker. • Proficiency with Git and version control workflows, including GitHub Actions. • Strong problem-solving skills and a collaborative, team-first mindset. Preferred Qualifications (Major Plus) • Hands-on experience with Kubeflow for orchestrating ML workflows. • Familiarity with Snowflake for data warehousing and analytics. • Experience with observability and monitoring tools, particularly Datadog. • Background in building and managing CI/CD pipelines for ML or data systems. • Experience using AI-assisted development tools such as Windsurf, Devin, Cursor, or Claude Code to accelerate development.