DataArt

Senior ML Engineer (Lithuania)

Added 19 hours ago

Seniority level:

Senior specialist

Skills:

Python , 5 yrs.
Machine Learning , 5 yrs.
TensorFlow , 5 yrs.

Languages:

English B2 - Upper intermediate
Experience:
5 yrs. minimum in Software engineering
Monthly salary (gross):
4200 - 4900 €
Contract type:
Full-time
Location:
Kaunas, Vilnius, Panevėžys, Klaipėda, Šiauliai, Alytus, Marijampolė, Utena
DataArt logo

To apply for this job listing, you must log in

Job description

Position 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 are looking for a specialist based in Lithuania to join our team.


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.

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


Requirements

  • 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


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


What we offer

• Professional Development:

— Experienced colleagues who are ready to share knowledge;

— The ability to switch projects, and technology stacks, try yourself in different roles;

— More than 150 workplaces for advanced training;

— Study and practice of English: courses and communication with colleagues and clients from different countries;

— Support of speakers who make presentations at conferences and meetings of technology communities;

— Stable income (Employment Contract with taxes allocated to Lithuania)

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and opportunity to work remotely within Lithuania.

How to Apply

To apply or inquire, please copy the following email address and paste it into your preferred email client: careers.riga@dataart.com

DataArt logo
Founded in 1997
Employees 5000
Connect on:

About DataArt

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries.


We are a global team of over 5,000 specialists across 30+ locations, with 32% women and 48% senior-level professionals. Our expertise spans Custom Software Engineering, AI/ML Innovation, Data & Analytics, and Cloud Transformation to drive business growth and efficiency.


DataArt cooperates with innovative startups and respected top companies, including Nasdaq, Skyscanner, Ocado, Doddle, Travelport, Meetup, Rappi, Betfair, and others. Our headquarters are located in New York.


The DataArt R&D Center in the Baltics has a team of about 56 professionals specializing in Java, JavaScript, .NET, DevOps, Data Engineering, Business Analysis, and other areas.


DataArt is deeply committed to actively supporting Ukraine.

Similar jobs

1 hour ago
DataArt

Senior Site Reliability Engineer (Lithuania)

Senior specialist
AWS
Azure
Kubernetes
5100 - 5700 €
Kaunas, Vilnius, Panevėžys, Klaipėda, Šiauliai, Alytus, Marijampolė, Utena
1 hour ago
DataArt

Software Engineer with Experience in Rust and Elixir (Lithuania)

Specialist
Elixir
Rust
4200 - 4900 €
Kaunas, Vilnius, Panevėžys, Klaipėda, Šiauliai, Alytus, Marijampolė, Utena
3 hours ago
DataArt

Senior Android Developer (Lithuania)

Senior specialist
Android
Kotlin
4300 - 5000 €
Kaunas, Vilnius, Panevėžys, Klaipėda, Šiauliai, Alytus, Marijampolė, Utena