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
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
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 • Information Technology • Software • Automation
Design, develop, and maintain production ML services and AI agents; extend agent capabilities and hybrid human-expert workflows; implement observability for agent quality and system reliability; collaborate across ML and engineering to deploy and operate LLM-based features in production.
Top Skills:
Ai AgentsLlmsMachine LearningPython
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
