senior ml engineer

Our Client is expanding its AI & Data division and is looking for an experienced Machine Learning Engineer to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives.

This role combines hands-on engineering with technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.

Key Responsibilities

• Design, develop, and integrate machine learning models into production environments.

• Build and maintain data pipelines and model training workflows to ensure reliable and automated processes.

• Develop and enhance the company’s MLOps infrastructure for model lifecycle management, automation, and monitoring.

• Write production-grade Python code and build APIs or services that expose ML models to business applications.

• Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.

• Collaborate with data engineers, annotation teams, software developers, and product managers to align solutions with business objectives.

• Participate in code reviews, documentation, and the definition of engineering best practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline.

• 4 + years of hands-on experience developing and deploying machine learning models.

• Proven people management or team leadership experience.

• Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).

• Solid understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow).

• Working knowledge of cloud platforms such as AWS, GCP, or Azure.

• Excellent analytical thinking, problem-solving, and communication skills.

• Fluent in English, both written and spoken.

Nice to Have

• Experience with document understanding, OCR, or NLP models.

• Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML pipelines.

• Exposure to data governance, model monitoring, or AI observability tools.

Why Join Them

• You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.

• You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.

• If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.