Requirements

• ML Engineering Experience: Ideally 4+ years in ML engineering or MLOps.
• ML and DS Experience: Ideally 3+ years designing and implementing diverse ML models.
• Application Development Experience
• Technical Evaluation Experience
• System Analysis Experience
• Communication Skills: Fluency in English

Nice to Have

• Experience with ML tools like Metaflow, Airflow, MLflow, etc.
• Prior knowledge of public cloud platforms.
• Experience with CI/CD pipelines and Infrastructure as Code.
• Knowledge of containerization and orchestration tools

What You'll Be Doing

• Build and Maintain scalable ML models services
• Design Robust Architecture
• Collaborate and Optimize with data scientists and engineers
• Develop Tooling for Model Development, Monitoring, Serving, and Experimentation
• Leverage Cloud infrastructure
• Innovate and Suggest new technologies and architectures

Perks and Benefits

• Hybrid working model
• 27 days holiday plus additional day on 2nd and 3rd year
• Educational Budget, Language Courses, Parental Support
• Health Checkups, Meditation & Gym
• Employee Share Purchase Plan, Life & Accident Insurance
• Digital Meal Vouchers and Food Vouchers