As a Machine Learning Engineer, you will develop and deploy ML models, preprocess datasets, monitor performance, integrate models, and collaborate with teams.
Join FxPro: a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Nassau, Dubai, and Yerevan. FxPro boasts a diverse workforce of over 600 employees representing 50 nationalities, making it an exciting and dynamic workplace. At FxPro, we see each team member as an integral part of our success story.
As a Machine Learning Engineer you will develop new ML models and collaborate with the Dealing, Business Analysts and our BI Experts.
Responsibilities:
- Develop and deploy machine learning models for trader profiling and other business applications
- Collect, clean, and preprocess large datasets, applying feature engineering and transformation techniques
- Monitor model performance in production and retrain models as needed
- Integrate models into operational systems, ensuring scalability, security, and optimal performance
- Collaborate with cross-functional teams to align model development with business needs
- Continuously optimize models and stay current with the latest advancements in ML research
Requirements:
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related field, or equivalent practical experience
- 5+ years of experience in machine learning, with a proven track record of developing and deploying models in production
- Strong understanding of mathematical statistics and probability theory
- Proficiency in Python and machine learning libraries (e.g., pandas, NumPy, Scikit-Learn)
- Solid understanding of machine learning algorithms (e.g., regression, classification, clustering)
- Familiarity with MLOps tools (e.g., Airflow, MLflow, DVC), containerization (e.g., Docker), and orchestration (e.g., Kubernetes)
- Experience with SQL, including complex queries, analytic functions, and querying large datasets.
- Familiarity with model monitoring and logging tools (e.g., Prometheus, Grafana)
- Knowledge of cloud platforms (Azure, AWS, GCP)
- Experience with version control and CI/CD practices (e.g., Git, Jenkins)
- Strong problem-solving and analytical skills
- A self-driven attitude with a strong sense of ownership and the ability to work independently to solve problems and develop solutions
- Excellent command of the English language, both written and verbal
Interview steps
- Recruiter screen (30 minutes)
- Test task
- Technical Interview (1 hour)
- Final Interview with manager (30 minutes)
Our benefits
- Excellent compensation package
- Medical insurance
- Provident fund
- In-house gym with a personal trainer
- Free daily lunch catering, snacks, and beverages
- Company discount card for various products & services
- 21 days of annual leave and 10 days of sick leave annually
- Shuttle bus service from Limassol
- Birthday gift
- Relocation bonus and visa/work permit support
Similar Jobs
Gaming • Mobile • Software
Design, prototype, and deploy ML models for personalization in mobile games. Implement and evaluate algorithms (including RL and generative methods), run A/B tests, convert prototypes to production via MLOps, monitor player data, and collaborate with product, engineering, and analytics teams to improve retention and monetization.
Top Skills:
AirflowCi/CdDockerGenerative ModelsGitKubeflowKubernetesMatplotlibMlflowMlopsPythonReinforcement LearningSQLTrino
Artificial Intelligence • Software • Generative AI
Lead relevance evaluation and quality improvements by fine-tuning LLMs, building low-latency reranking and filtering systems, scaling LLM deployments, creating automated monitoring pipelines and agentic insights, and validating impact via A/B tests while collaborating with cross-functional teams.
Top Skills:
AirflowLlmsPythonPyTorchSparkSQL
Artificial Intelligence • Software • Generative AI
Build and deploy production ML systems for large-scale ecommerce search and recommendations using text, image, and multimodal approaches. Tune and integrate LLMs and transformer models, develop end-to-end visual solutions, improve business KPIs through experimentation, and collaborate across teams to productize and scale ML capabilities.
Top Skills:
Generative LlmsMySQLPysparkPythonPyTorchSparksqlSQLTransformers
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
