Sr. ML Engineer

📋 Description

• Manage the full ML lifecycle: data, model development, deployment, monitoring.
• Translate business goals into ML solutions and metrics.
• Build and deploy ML/DL models for analytics, time series, NLP, CV.
• Design scalable data pipelines across on-prem, cloud, and hybrid.
• Develop MLOps workflows: versioning, testing, deployment, monitoring.
• Collaborate with data scientists, engineers, and architects; document processes.

🎯 Requirements

• 4–7 years in data science, including 3+ years as ML Engineer.
• 5+ years Python OOP development.
• ML frameworks: TensorFlow, PyTorch, Keras, and Caffe.
• Experience with Docker and Kubernetes for ML workflows.
• Azure cloud services experience (Cosmos DB, Streaming Analytics, IoT, Azure Functions).
• Deep learning and modern AI modeling techniques.

🎁 Benefits

• Competitive salary aligned with experience.
• Work on impactful ML projects with modern AI tech.
• Exposure to cloud platforms, MLOps, scalable systems.
• Collaborative environment with experienced team.
• Flexible, technology-driven work environment.