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.
Задачи
•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
Требования
•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, NumPy, and matplotlib
•Strong understanding of regression, classification, clustering, model validation, and performance metrics
•Practical experience with TensorFlow, PyTorch, or Keras
•Proven experience building, training, and deploying ML models using AWS SageMaker
•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
Условия
•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, PlayStation, fruits, coffee, snacks, and movies
•Relocation is available across listed EU locations
