Senior Machine Learning Engineer (K/M)

• Minimum 5 years of experience as a Machine Learning Engineer or similar role
• Practical experience in building and deploying ML models to production environments
• Experience in designing complete end-to-end ML solutions
• Strong knowledge of Python and SQL
• Proficiency with scikit-learn library
• Experience working with Git
• Knowledge of at least one cloud or data platform: Azure, GCP, Databricks, or Snowflake
• Ability to collaborate effectively with both technical and business teams

Nice to have:

• Experience with MLOps
• Knowledge of Airflow, Bash, Terraform
• Practice in creating unit tests and designing and analyzing A/B tests
• Experience with projects related to demand forecasting, pricing, or recommendations
• Experience with Causal AI or Generative AI

• Designing and implementing AI/ML products in cloud environments
• Delivering end-to-end Machine Learning models and systems from concept to production
• Developing MLOps processes to automate the model lifecycle
• Solving issues related to prediction, optimization, and recommendation systems
• Building solutions using Causal AI
• Developing applications and tools based on large language models (LLM)
• Creating efficient and scalable data processing systems
• Collaborating with business stakeholders to identify and realize initiatives with significant business impact
• Participating in the design of AI and ML solution architectures

Remote work only