Senior Machine Learning Engineer
TradingView2 months ago
Limassol, CyprusSenior
Responsibilities
- Design and implement ML and AI modules from experimentation and prototyping through production integration.
- Build LLM- and ML/NLP-based solutions for data processing, generation, search, assistants, bots, agents, and automation.
- Select and evaluate external providers, open-source or self-hosted models, and traditional ML/NLP approaches.
- Contribute to ML architecture, technical approaches, and engineering standards.
- Prepare and process data, train models, run A/B tests, and analyze results.
- Monitor and improve model performance, interpret model behavior and metrics, and analyze system failure cases.
- Improve models, prompts, data, and system architecture based on AI-system quality evaluations.
- Collaborate with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate impact.
- Work with MLOps infrastructure including monitoring, logging, containerization, and CI/CD systems.
Requirements
- At least 3 years of experience in ML engineering and building production-ready ML systems.
- Strong practical expertise in NLP, LLMs, AI assistants, and related AI/ML areas.
- Experience with modern LLM systems and traditional ML/NLP methods including classification, ranking, retrieval, semantic similarity, and information extraction.
- Demonstrated ability to deliver end-to-end ML solutions from idea and data through production and support.
- Proficiency in Python or Go and experience with production-grade software development.
- Experience evaluating ML/AI solutions and assessing quality, reliability, latency, and cost trade-offs.
- Solid knowledge of A/B testing and result interpretation.
- Experience making architectural decisions and improving engineering practices.
- Familiarity with Docker, Kubernetes, monitoring tools such as Prometheus and Grafana, logging, and CI/CD systems.
- Preferred experience with product metrics, real-time or high-load ML systems, open-source or self-hosted models, MLOps tools such as MLflow, Airflow, or Kubeflow, and UX evaluation of AI-driven interactions.
Benefits
- Flexible working hours and a hybrid work format.
- Well-equipped offices for focused and collaborative work.
- Global, distributed team of 500+ professionals.
- Learning, mentorship, and long-term career growth.
- Relocation support and private health insurance.
- Performance-based bonuses and TradingView Premium access.
- Regular team events and company-wide meetups.
Tech Stack
Categories
About TradingView
TradingView builds a browser-based charting and market‑data platform for traders and investors, plus embeddable charting libraries for businesses. It monetizes via freemium subscriptions, real-time data add‑ons, broker integrations, and B2B licensing. Founded in 2011 and headquartered in London, the privately held company serves tens of millions of users globally, and its tools are used by firms such as Revolut, Binance, and CME Group.