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. 

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