AI and ML Engineer

## About the project - We are helping to develop a decision support system for investment analysts. - The project includes development, optimization, and speeding up applications and databases. - DataArt specialists work on the project in several areas related to the core business of the client. ## Team size - 10-20 ## This is how we work - you develop several projects simultaneously - you have influence on the technological solutions applied - you focus on product development ## Team members - backend developer - technical leader - data scientist ## Your responsibilities - Design, implement, and optimize machine learning and AI models, including classification, regression, clustering, and agent tuning. - Experiment with the latest methods, frameworks, and architectures to enhance model performance and efficiency. - Develop robust, scalable ML pipelines for training, validation, and inference. - Deploy ML models into production environments (cloud or on-prem), ensuring high reliability, low latency, and scalability. - Apply MLOps best practices including CI/CD, monitoring, automated retraining, and model registry management. - Partner with data engineering teams to source, clean, and transform large datasets for model training and inference. - Ensure high data quality, perform feature engineering, and support real-time data integration processes. - Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals. - Clearly communicate complex technical results to both technical and non-technical stakeholders. - Provide technical guidance and mentorship to junior ML engineers and data scientists. - Contribute to establishing team best practices, code reviews, and architectural decisions. - 5+ years of professional experience in machine learning, AI engineering, or related fields. - Master’s degree in Computer Science, Machine Learning, Physics, or related field; PhD preferred. - Proficient in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Strong understanding of algorithms, statistics, probability, and linear algebra. - Hands-on experience with data pipelines and ETL tools (e.g., Spark, AWS Lambda, AWS Glue). - Practical experience with cloud platforms, preferably AWS. - Solid software engineering fundamentals including version control (Git), testing, and design patterns. - Demonstrated success in deploying ML models into production at scale. - Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI. - Excellent analytical, problem-solving, and communication skills. - Ability to work autonomously and collaboratively within a fast-paced, cross-functional team environment. ## Optional - Experience with agentic frameworks like LangChain or LangGraph ## What we offer - This is a contract position. ## This is how we work on a project - code review - Continuous Deployment - Continuous Integration - documentation - test automation ## Development opportunities we offer - development budget - external training - intracompany training - mentoring - support of IT events - technical knowledge exchange within the company ## Benefits - sharing the costs of sports activities - private medical care - sharing the costs of foreign language classes - sharing the costs of professional training & courses - life insurance - remote work opportunities - flexible working time - corporate products and services at discounted prices - integration events - coffee / tea - drinks - sharing the costs of tickets to the movies, theater - employee referral program - opportunity to obtain permits and licenses - extra leave ## DataArt Poland sp. z o.o. - Our client is one of the world's largest investment funds that manages hundreds of billions of dollars. - The company's business is focused on several areas: private equity, venture capital, real assets, investment solutions, and global market strategies.