ML инженер

The company provides software engineering and digital transformation services, helping global enterprises build, deploy, and scale advanced technology solutions.

• Design, build, and optimize ML/AI models and pipelines;
• Deploy models to production, ensuring scalability, reliability, and performance;
• Build and maintain MLOps workflows, including CI/CD, model monitoring, and retraining;
• Work with large-scale data to engineer features and prepare training datasets;
• Collaborate with data engineers, product, and business teams to deliver solutions;
• Communicate effectively with stakeholders, sharing progress, insights, and outcomes clearly;
• Contribute to a collaborative and supportive team culture as a strong team player;
• Troubleshoot and continuously improve models running in production;
• Follow best practices for code quality, documentation, and responsible AI.

• 3+ Years of experience building and deploying ML/AI solutions in production environments;
• Expertise in AWS and Databricks for building and scaling ML/AI pipelines;
• Proficiency in MLOps practices, including CI/CD, model monitoring, and retraining workflows;
• Skills in feature engineering and preparing training datasets from large-scale data;
• Background in collaborating with cross-functional teams, including data engineers, product, and business stakeholders;
• Competency in clear stakeholder communication, sharing progress, insights, and outcomes;
• Understanding of best practices for code quality, documentation, and responsible AI;
• English B2.

• No conditions specified