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!