Senior MLOps/DevOps Engineer

Are you a seasoned MLOps Engineer ready to tackle unprecedented challenges?

We are recruiting on behalf of an innovative startup tech company. We seek a Lead MLOps Engineer to design and implement scalable MLOps pipelines and infrastructure.


What You'll Do:

• Scalable ML Infrastructure: Build a cost-efficient platform to train, deploy, and monitor thousands of machine learning models.
• Cloud Integration: Lead the integration of Databricks into AWS infrastructure to enhance data engineering and model development capabilities.
• Pipeline Development: Develop and optimize MLOps pipelines to manage thousands of models with minimal human intervention.
• Feature Store Implementation: Evaluate and implement features like Databricks Feature Store or Feast to streamline ML workflows.
• CI/CD & Automation: Enhance CI/CD pipelines using tools like GitHub Actions and Terraform for seamless deployments.
• Monitoring & Optimization: Build tools to track model performance, detect data drift, and optimize for efficiency and cost-effectiveness.
• Collaboration: Work closely with data scientists, platform engineers, and DevOps teams to bridge gaps between data science and operations.

What We're Looking For:

• Experience: 3+ years in MLOps, Machine Learning Engineering, Data Engineering, or DevOps.
• Technical Skills:
• Proficient with Azure/AWS (especially SageMaker) and Databricks.
• Strong Python skills; familiarity with ML frameworks like TensorFlow or PyTorch.
• Experience with CI/CD tools and Infrastructure as Code (e.g., Terraform).
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to thrive in a fast-paced environment.

Why Join Us:

• Innovative Environment: Work with cutting-edge technologies and solve complex, large-scale challenges.
• Impactful Work: Directly impact advanced analytics capabilities that are transforming an industry.
• Competitive Compensation: Offering a competitive salary.
• Remote Opportunity: Hybrid work.