ML Ops Engineer.

Job Description
MLOps involves managing the deep learning or production ML lifecycle, incorporating ML, DevOps, and data engineering processes. Responsibilities include designing and implementing cloud solutions, building MLOps on my client's cloud platform, orchestrating CI/CD pipelines, reviewing data science models, testing and automating processes. The role requires expertise in MLOps frameworks, Docker, Kubernetes, and proficiency in programming languages such as Python, Go or Bash. Effective communication and collaboration with a diverse team of data scientists and engineers are essential.

Qualifications & Benefits:

• Competitive salary (80.000 to 100.000 EUR gross)
• Flexible vacation, health & travel insurance
• Remote work, flexible hours
• Opportunity to collaborate with Fortune 500 Europe companies
• Skills development, training, and company-paid certifications
• Career advancement opportunities
• Inclusive company culture

Desired Qualifications:

• Bachelor's degree in Computer Science or Software Engineering
• Experience using my client's cloud services on AWS, MS Azure, or GCP
• Associate Cloud Certification is a plus