ML Engineer

• Designing, training, and evaluating machine learning models (supervised, unsupervised, NLP, etc.).
• Building scalable data and ML pipelines using modern tools.
• Collaborating with subject matter experts and analysts to prepare training datasets.
• Deploying models for production (batch or real-time inference).
• Monitoring and maintaining model performance and data quality.
• Optimizing models for performance, interpretability, and cost.
• Documenting ML workflows and ensuring reproducibility.

• Experience as a ML Engineer or similar role for 3+ years.
• Strong programming skills in Python (with libraries such as scikit-learn, pandas, numpy, matplotlib).
• Solid understanding of machine learning algorithms (regression, classification, clustering, etc.).
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Hands-on experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with version control systems (e.g., Git).
• Experience with SQL and working with structured data.
• Understanding of ML model deployment (e.g., REST APIs with FastAPI/Flask, model packaging with Docker).
• Exposure to MLOps practices (e.g., pipeline automation, model monitoring, reproducibility).
• Excellent communication, critical thinking and problem-solving skills.
• Staying up to date with new ML techniques, frameworks, and tools.
• Level of English – from Intermediate+ and above.

• Experience with cloud platforms (AWS, GCP, or Azure) and managed ML services (SageMaker, Vertex AI, etc.).
• Experience with MLFlow, DVC, Airflow, or other ML lifecycle tools.
• Familiarity with CI/CD for ML systems.
• Knowledge of big data tools (Spark, Hadoop, etc.).
• Understanding of data security and ethical AI considerations.
• Experience with either natural language processing (NLP) including LLM or computer vision. or agentic AI.

• 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 up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, 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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