Machine Learning Engineer (Azure)

About the role

We are seeking a Mid‑Senior Machine Learning Engineer with strong Azure expertise to design, build, and operationalize scalable ML solutions that complement large‑language‑model (LLM) systems. You will work closely with data engineers and platform teams to deliver high‑impact AI products.

Key responsibilities

• Develop, fine‑tune, and deploy predictive, classification, and recommendation models.
• Build and maintain end‑to‑end ML pipelines covering data preprocessing, training, evaluation, and deployment.
• Optimize model performance, scalability, and reliability in production environments.
• Integrate ML models into LLM‑based and broader AI architectures.
• Collaborate with cross‑functional teams to align solutions with business requirements.
• Monitor model performance and implement continuous improvements.
• Apply MLOps best practices, including model versioning, testing, and automated deployment.

Required profile

• 3–7+ years of experience in machine learning or related fields.
• Strong analytical, problem‑solving, and communication abilities.
• Proven track record of delivering ML solutions in production.

Required skills

• Python programming.
• ML frameworks: TensorFlow, PyTorch, Scikit‑learn.
• Cloud platform: Microsoft Azure.
• MLOps tools: CI/CD pipelines, Docker, Kubernetes, monitoring solutions.