Ml engineer scalable AI solutions

Описание:
Andersen is a pre-IPO software development company providing full-cycle services. It helps enterprises and middle-sized firms worldwide transform their businesses by creating digital solutions with innovative technologies.

• Design, train, and evaluate machine learning models, including supervised, unsupervised, and NLP models
• Build scalable data and ML pipelines using modern tools
• Collaborate with subject matter experts and analysts to prepare training datasets
• Deploy models to production for batch or real-time inference
• Monitor and maintain model performance and data quality
• Optimize models for performance, interpretability, and cost
• Document ML workflows and ensure reproducibility.

• 2+ Years of experience as a Machine Learning Engineer or in a similar role
• Proficiency in Python, including hands-on experience with scikit-learn, pandas, Num Py, and matplotlib
• Strong understanding of regression, classification, clustering, model validation, and performance metrics
• Practical experience with Tensor Flow, PyTorch, or Keras
• Proven experience building, training, and deploying ML models using AWS Sage Maker
• Familiarity with AWS Bedrock, foundation models, generative models, fine-tuning, and LLM orchestration
• Hands-on experience with data preprocessing, feature engineering, and model evaluation
• Knowledge of SQL and experience with structured and semi-structured datasets
• Understanding of ML model deployment with REST APIs, FastAPI, Flask, Docker, and containerization
• Exposure to MLOps practices, including pipeline automation, model versioning, monitoring, and reproducibility
• Familiarity with Git and other version control systems
• Strong analytical thinking, communication, and problem-solving skills
• Willingness to stay current with emerging ML techniques, frameworks, and cloud AI tools
• English at Upper-Intermediate level or above;
  German at Intermediate+ level or above.

• Up to an additional 1,000 USD per month depending on expertise, included in the annual bonus
• Professional, financial, and career growth opportunities
• Mentoring and onboarding systems for each new employee
• Access to the corporate training portal
• Certification compensation for AWS, PMP, and other certifications
• Referral program
• English courses
• Private health insurance and sports activity compensation
• Corporate events, pizza days, Play Station, fruits, coffee, snacks, and movies
• Relocation is available across listed EU locations.