Back
Mid-level role, metro location, and broad Python/cloud/ML requirements increase applicant competition.
Strong ML, cloud, and software demands make cross-industry transferability limited.
Multiple explicit years and mandatory ML, software engineering, and cloud skills required.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Implement and productionize ML-based services on AI and Big Data platforms using Python, SQL, IaC, and Linux.
Consult and enable cross-functional teams to build scalable Big Data and Data Science projects with production responsibility to ensure continuous business value.
Collaborate on governance, cloud infrastructure (AWS, GCP, Azure), data provisioning, scheduling, CI/CD, and optimize processes to reduce operational costs.
2+ years of ML Engineering experience and 5+ years in Software Engineering.
Strong proficiency in Python plus at least one other high-level programming language (e.g., Java or C++).
Experience with SQL and relational databases (HANA, MS SQL, MySQL) and with version control (Git).
2+ years working with AWS cloud services and advanced knowledge of Linux and IT systems fundamentals.
Experienced in building and maintaining scalable ML and IT systems with responsibility for production environments.
Comfortable collaborating across teams and integrating multiple cloud services (AWS primarily, plus exposure to GCP or Azure).
Skilled in writing clean, maintainable code with a strong grasp of infrastructure as code and CI/CD best practices.