remote
Principal Machine Learning Engineer - Workday
ML Engineer
Lead the design and deployment of advanced machine learning solutions on AWS, driving AI innovation for enterprise workforce management. Leverage Python, deep learning frameworks, and data engineering to build scalable, high‑impact models.
About the role
Key Responsibilities
- Architect and implement end‑to‑end machine learning pipelines on AWS, ensuring scalability, reliability, and security.
- Collaborate with cross‑functional teams to translate business problems into data‑driven solutions and deliver production‑ready models.
- Mentor and guide a team of data scientists and ML engineers, fostering a culture of experimentation and continuous improvement.
- Conduct rigorous model validation, monitoring, and performance tuning to maintain high accuracy and compliance with industry standards.
- Drive research initiatives, evaluate emerging ML techniques, and integrate cutting‑edge technologies into the product roadmap.
Requirements
- 10+ years of experience in machine learning, with a strong background in deep learning and large‑scale model deployment.
- Proficiency in Python, TensorFlow/PyTorch, and AWS services such as SageMaker, Lambda, and S3.
- Hands‑on experience with data engineering pipelines, SQL, and big data tools (Spark, Redshift).
- Excellent communication skills and a proven track record of leading technical teams in a fast‑paced environment.
- Strong analytical mindset, problem‑solving ability, and a passion for building AI that transforms business outcomes.
Skills
machine learningpythonawsdeep learning