If you're passionate about driving innovation, building real-world AI solutions at scale, and shaping the ML strategy of a growing data company - this role is for you.

Responsibilities:

• Lead and mentor a team of experienced ML engineers.
• Set the technical direction and ensure high-quality delivery.
• Design and develop production-grade ML models and systems.
• Own the end-to-end ML development lifecycle: data preparation, modeling, evaluation, deployment, and monitoring.
• Work closely with C-level leaders and product teams to drive strategy and roadmap.
• Bring innovation to carVerticals data products and contribute to the scientific community (e.g., by speaking at conferences).
• Build robust CI/CD pipelines for ML workflows.
• Deploy models using REST APIs, microservices, Docker and Kubernetes.

• Solid experience in Machine Learning, Data Science, or Software Engineering.
• Strong leadership experience: leading and mentoring technical teams.
• Excellent knowledge of ML algorithms and evaluation metrics (precision, recall, F1, ROC, etc.).
• Proficiency in Python (Golang is a plus).
• Experience with ML frameworks: PyTorch, TensorFlow, Scikit-learn.
• Experience with AWS services.
• Hands-on experience with MLOps tools: MLflow, Nvidia Triton or similar.
• Familiarity with designing and managing CI/CD pipelines.
• Practical knowledge of containerization tools like Docker and orchestration with Kubernetes.

It would be huge plus if you have:

• Experience with LightGBM.
• Background in Computer Vision (CV) or Natural Language Processing (NLP).
• Experience with Terraform and Infrastructure as Code.
• Knowledge of Nvidia Triton architecture.