Job Title: Lead MLOps Engineer – Remote (USA) – $200K + Package
Are you a seasoned MLOps Engineer ready to tackle unprecedented challenges at scale?
People in AI is recruiting on behalf of an innovative tech company that's revolutionizing its industry. We're seeking 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 feature stores 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: 5+ years in MLOps, Machine Learning Engineering, Data Engineering, or DevOps.
- Technical Skills:
- Proficient with 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: Make a direct impact on advanced analytics capabilities that are transforming an industry.
- Competitive Compensation: Offering a salary of $200K plus a comprehensive benefits package.
- Remote Opportunity: Fully remote position within the USA.
How to Apply:
If you're excited about pushing the boundaries of MLOps and want to make a significant impact, we'd love to hear from you!
Please submit your resume via the link
Feel free to share this opportunity with anyone who might be interested!
