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ML Engineer

andersenlab.com Logo

Andersen

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IT - Software Development

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Job Description:

The international IT сompany Andersen invites a ML Engineer to join our dynamic and highly skilled professional team. The role involves developing intelligent solutions and contributing to innovative, scalable projects across diverse industries worldwide.

Job Responsibility:

  • 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

Requirements:

  • Experience as a Machine Learning Engineer or in a similar role for 3+ years
  • Proficiency in Python, including hands-on experience with libraries such as scikit-learn, pandas, NumPy, and matplotlib
  • Strong understanding of core ML concepts — regression, classification, clustering, model validation, and performance metrics
  • Practical experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
  • Proven experience building, training, and deploying ML models using AWS SageMaker
  • Familiarity with AWS Bedrock for working with foundation and generative models (e.g., fine-tuning and orchestration of LLMs)
  • Hands-on experience with data preprocessing, feature engineering, and model evaluation
  • Knowledge of SQL and experience working with structured and semi-structured datasets
  • Understanding of ML model deployment (e.g., REST APIs with FastAPI or Flask
  • model packaging and containerization with Docker)
  • Exposure to MLOps practices – pipeline automation, model versioning, monitoring, and reproducibility
  • Familiarity with version control systems (e.g., Git)
  • Strong analytical thinking, communication, and problem-solving skills
  • Willingness to stay current with emerging ML techniques, frameworks, and cloud AI tools
  • Level of English – from Intermediate+ and above

Nice to have:

  • 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
What we offer:
  • Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
  • The opportunity to change the project and/or develop expertise in an interesting business domain
  • Guarantee of professional, financial, and career growth
  • The opportunity to earn up to an additional 1,000 USD 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
  • 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

Additional Information:

Job Posted:
December 18, 2025

Work Type:
Remote work
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