ML Engineer (AI)

Location: Serbia; the role is for candidates in the EU. Work options include fully remote, office-based, or hybrid arrangements.

Company

Software development and outsourcing company delivering full-cycle digital solutions for enterprises and mid-sized businesses through a global network of development centers.

What you will do

• Design, train, and evaluate supervised, unsupervised, and NLP machine learning models.
• Build scalable data and ML pipelines and prepare training datasets with subject matter experts and analysts.
• Deploy models for batch and real-time inference using production-ready workflows.
• Monitor model performance and data quality, and optimize models for performance, interpretability, and cost.
• Document ML workflows and ensure reproducibility across the development and production lifecycle.

Requirements

• 2+ years of experience as a Machine Learning Engineer or in a similar role.
• Strong Python skills with scikit-learn, pandas, NumPy, and matplotlib.
• Knowledge of core machine learning concepts, including regression, classification, clustering, validation, and performance metrics.
• Experience with TensorFlow, PyTorch, or Keras, plus AWS SageMaker for building, training, and deploying models.
• Familiarity with AWS Bedrock, foundation and generative models, LLM fine-tuning and orchestration, SQL, Docker, REST APIs, Git, and MLOps practices.
• English: Upper-Intermediate or higher. German: Intermediate+ or higher.

Nice to have

• Experience with model packaging, containerization, pipeline automation, model versioning, monitoring, and reproducibility.
• Interest in emerging machine learning techniques, frameworks, and cloud AI tools.

Culture & Benefits

• Opportunity to work on projects in FinTech, Healthcare, Retail, Telecom, and other business domains.
• Ability to change projects and develop expertise in different industries.
• Mentoring, onboarding support, professional and career development opportunities.
• Corporate training portal, English courses, and compensation for professional certifications such as AWS and PMP.
• Private health insurance, sports compensation, referral program, and corporate events.