ML Engineer

About the role

Design, develop, train, and optimize machine learning and deep learning models for production use. Build end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions. Deploy, monitor, and maintain machine learning models in production environments. Develop scalable AI services and APIs using Python and modern ML frameworks. Implement MLOps best practices for versioning, automation, model monitoring, and continuous improvement.

Requirements

• Strong expertise in Python, machine learning algorithms, and data processing.
• Experience with model deployment and optimizing model inference performance.
• Ability to work with structured and unstructured data from various sources.
• Experience with data analysis, experimentation, and model validation.
• Excellent communication skills to collaborate with data scientists, software engineers, and business stakeholders.
• Experience in documenting model architectures, development processes, and technical solutions.

Benefits

• The chance to work on cutting-edge AI solutions.
• A collaborative and innovative work environment.
• The opportunity to make a significant impact on real-world business problems.