Machine Learning Engineer
What You’ll Do:
Collaborate with stakeholders to understand ML requirements and develop innovative solutions.
Build and maintain scalable ML pipelines, infrastructure, and deployment platforms.
Automate model lifecycle processes with CI/CD/CT and MLOps principles.
Work on analytics pipelines supporting predictive modeling, data flows, and APIs.
Ensure data quality, integrity, and compliance across systems.
Skills & Experience:
3+ years developing ML models in production; strong Python programming.
2+ years hands-on with GCP, BigQuery, Cloud Storage, Cloud Run, and Kubernetes.
Experience with CI/CD tools like Tekton, version control (GitHub), and code quality/security tools.
Familiarity with Spark, Airflow, containerization, and cloud platforms (GCP, AWS, Azure).
Bachelor’s degree in Computer Science or related field (Master’s preferred).
Preferred Skills:
Automotive or analytics experience, ML libraries (TensorFlow, PyTorch, Scikit-learn), MLOps platforms.