ML Engineer

Andersen is hiring an ML Engineer to design and integrate scalable AI solutions into cloud platforms, enhancing automation, workflows, and data-driven decisions in secure environments.    The customer is a global technology company delivering enterprise software and cloud-based digital platforms for highly regulated industries. It develops large-scale, mission-critical solutions focused on automation, advanced data processing, analytics, and AI-driven capabilities, serving thousands of corporate clients worldwide. The organization operates in a complex, high-load environment, continuously evolving its technology stack and investing in innovation to support long-term digital transformation.    The project is delivered for an international enterprise technology provider and focuses on AI-driven digital transformation within large-scale, cloud-based systems. The team designs and integrates scalable machine learning solutions into existing platforms to enhance automation, optimize workflows, and enable data-driven decision-making in secure, high-availability environments.    Responsibilities:  • Designing, developing, and deploying machine learning models in production environments.   • Building scalable ML pipelines on AWS.   • Working closely with data engineers and software developers to integrate ML solutions into enterprise systems.   • Optimizing models for performance, scalability, and reliability.   • Implementing monitoring, logging, and model performance tracking.   • Ensuring compliance with security and data governance standards.   • Participating in architecture discussions and solution design.    Must-haves:  • Experience in Machine Learning for 5+ years.  • Experience in AI engineering.  • Strong hands-on experience with Amazon Web Services (SageMaker Lambda S3 EC2).  • Strong proficiency in Python.   • Experience with ML frameworks.   • Experience deploying ML models into production. - Level of English – from Upper-Intermediate and above.    Nice-to-haves:  • Experience in financial services or healthcare domain.   • Experience integrating ML with RPA solutions (e.g., intelligent automation use cases).   • Knowledge of data engineering tools (Airflow, Spark, etc.).   • Experience with LLM-based solutions or AI-driven automation.   • Understanding security and compliance requirements in regulated industries.  Reasons why this job would be interesting to you:  • Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..  • The opportunity to change the project and/or develop expertise in an interesting business domain.  • Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.  • Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.  • The opportunity to earn additional up to 1,000 USD per month by participating in the company's activities.  • Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.  • Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).  • Certification compensation (AWS, PMP, etc).  • Referral program.  • English courses.  • Private health insurance and compensation for sports activities.    Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl   Join us!