ML Engineer

About ITRex

We are a global IT consulting and development company with a We Care attitude, striving to create momentum in our clients’ digital transformation. Our 230+ team brings together creative and talented cross-functional experts who are hungry for the success of every project. We have delivered hundreds of game-changing solutions to Fortune 500 giants, mid-market companies and startups and pride ourselves on being part of a success story of global leaders such as TASC, Procter & Gamble, Dun & Bradstreet, Turvo, Universal Electronics, Shutterstock, Dollar Shave Club or JibJab. We value initiative, open communication and self-motivated commitment rather than compliance and box-ticking, and are looking for like-minded individuals who share our passion about doing great new things together. Join our friendly team as an ML Engineer!

Our expectations

Required

4+ years of experience as a software developer, with at least 3 years in an ML Engineer role
Strong understanding of machine learning techniques, including supervised & unsupervised learning, NLP, deep learning fundamentals, and model evaluation
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, Pandas, and NumPy
Hands-on experience in containerizing ML applications using Docker for scalable deployment
Practical experience with at least one cloud provider (AWS, GCP)
Strong background in working with large datasets, SQL/NoSQL databases
Ability to decompose complex problems into well-structured ML tasks
Skilled at assessing whether ML is the best approach or if a simpler solution (e.g., heuristic rules, statistical methods) would be more effective
Expertise in debugging, optimizing, and enhancing models for performance, efficiency, and interpretability
Experience maintaining ML workflows to ensure reproducibility, scalability, and operational efficiency
Strong technical and non-technical communication skills, able to communicate ML problems and solutions to technical and non-technical members of the team and stakeholders
Upper-Intermediate English proficiency

Nice-to-have

Understanding the business impact of ML models and how to align them with organizational goals
Experience with feature stores, model registries, and ML model lifecycle management

Your responsibilities

Design, develop, and deploy machine learning models for predictive analytics, classification, NLP, and other data-driven tasks
Implement data pipelines for ingestion, preprocessing, feature engineering, and model training
Containerize ML models and applications using Docker for scalable and reproducible deployments
Deploy and maintain ML solutions in cloud environments (AWS/Snowflake)
Optimize model performance, latency, and resource utilization for real-time or batch inference
Monitor and troubleshoot ML models in production, ensuring reliability and robustness
Collaborate with data engineers, software developers, and business stakeholders to define project requirements and integrate ML models into production systems
Conduct rigorous model evaluation using appropriate metrics to ensure performance and fairness
Assess whether machine learning is necessary for a given problem or if alternative rule-based/statistical approaches are more appropriate

What we offer

A sense of community and friendship, diversity, and inclusivity
Informal working environment with short decision-making chains
Flexible work hours and remote work options
Established personal development processes
Support of professional training and certification
Regular company events (ITRexTalks, Q&A sessions with the CEO, Tech Meet-Ups)
Social benefits (medical insurance, sports reimbursement, and free English classes)

Key Skills

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