Overview

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

We are looking for a Senior Machine Learning Engineer to design, develop, and deploy advanced ML models focused on betting position forecasting, real-time analytics, and anomaly detection. The ideal candidate will have strong expertise in time series forecasting, predictive modeling, and scalable production deployment. You will work closely with cross-functional teams to integrate machine learning solutions that drive data-driven decision-making in a fast-paced betting environment, ensuring high model accuracy and reliability.
Client:

Project Overview:

Responsibilities:
  • Design and develop machine learning models for betting position forecasting and recommendation systems
  • Build and deploy predictive analytics solutions delivering real-time betting insights
  • Implement anomaly detection systems to identify unusual betting patterns and potential risks
  • Develop pattern recognition algorithms for market trend analysis and user behavior prediction
  • Ensure scalable, reliable deployment of ML models within production betting environments
  • Monitor, evaluate, and optimize model performance and accuracy continuously
  • Collaborate closely with development teams to integrate ML solutions into betting platforms
Nice To Have:
  • Experience with Azure ML or similar cloud ML platforms
  • Knowledge of databases, data pipelines, and data engineering fundamentals
  • Understanding of A/B testing and experimentation frameworks
  • Experience with containerization tools like Docker and CI/CD pipelines
Required Qualifications:
  • Strong proficiency in Python and core ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Proven experience in time series forecasting, predictive modeling, and anomaly detection
  • Solid grasp of statistical analysis and probability theory relevant to betting/gaming contexts
  • Hands-on experience deploying ML models in real-time production environments
  • Expertise in data preprocessing, feature engineering, and model validation techniques
  • Familiarity with ML Ops best practices including model monitoring and versioning
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