Reports To: Service Engineering Manager

The MLOps Engineer 2 will independently design, implement, and manage the automation and streamlining of the machine-learning lifecycle, ensuring reliable, efficient, and scalable deployment and monitoring of models. This role bridges data science and operations, combining DevOps expertise with ML knowledge.

Focus: Independent automation of ML pipelines, deployment strategies, and monitoring in production.

The difference you will make:

• Independently design and implement CI/CD pipelines for machine-learning models.
• Automate training, validation, testing, and deployment processes.
• Develop and maintain automated testing frameworks for ML models.
• Implement model-deployment strategies (A/B testing, canary deployments).
• Build and maintain scalable infrastructure for model serving (Kubernetes, serverless).
• Manage model versioning, rollback, and governance mechanisms.
• Optimize serving performance for latency, throughput, and resources.
• Set up monitoring, logging, and alerting for model drift and performance.
• Collaborate with data scientists and software engineers for integration.
• Ensure compliance with security and privacy requirements.

What you will bring to the role:

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience: 2+ years in DevOps, software engineering, or ML deployment and operations.

Technical Skills:

• Strong proficiency in DevOps tools (Jenkins, GitLab CI, Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Knowledge of MLflow, Kubeflow, or similar model-management tools.
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong scripting skills (Python, Bash).
• Experience with Infrastructure-as-Code tools (Terraform, CloudFormation).

Soft Skills:

• Strong analytical and problem-solving abilities.
• Adaptable in a fast-paced environment.
• Automation-first and efficiency-driven mindset.
• Excellent teamwork and communication skills.
• Disciplined, customer-centric, and proactive attitude.

Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.