Adastra - MLOps Engineer

Description :

Job Summary :

We are seeking a highly experienced MLOps Engineer with 510 years of industry experience to lead the design, deployment, and optimization of machine learning infrastructure. This role requires deep expertise in Kubernetes (K8s), cloud-native technologies, and scalable ML systems. The ideal candidate will drive best practices in MLOps and collaborate with cross-functional teams to deliver robust AI solutions.

Key Responsibilities :

- Architect and maintain scalable MLOps pipelines for model training, deployment, and monitoring.

- Lead the implementation of containerized ML workloads using Kubernetes.

- Collaborate with data scientists and engineers to productionize ML models.

- Automate model lifecycle management including versioning, rollback, and performance tracking.

- Ensure high availability, security, and compliance of ML systems.

- Develop infrastructure as code using tools like Terraform or Helm.

- Establish and enforce best practices for model governance and reproducibility.

Required Qualifications :

- Bachelor's degree in computer science, Engineering, or related field (master's preferred).

- 5-10 years of experience in MLOps, DevOps, or software engineering.

- Extensive experience with Kubernetes and container orchestration.

- Proficiency in Python and Bash scripting.

- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

- Familiarity with cloud platforms (AWS, Azure, GCP).

- Knowledge of CI/CD tools and monitoring systems.

Preferred Qualifications :

- Experience with Kubeflow, MLflow, or similar platforms.

- Exposure to data versioning tools like DVC or LakeFS.

- Understanding of model explainability and compliance frameworks.

- Contributions to open-source MLOps projects.

What We Offer :

- Competitive compensation and benefits.

- Opportunity to work on cutting-edge AI/ML systems.

- Collaborative and innovative work environment.

- Career growth and learning opportunities.