#vacancy#cyprus#remote#ML#DataScience#LLM#NLP
Role: Lead ML Engineer (ML, NLP, LLM)
Company: Clain
Location: Limassol, hybrid working week or remote
Salary: from 7000 euro, discussed individually
We are expanding our DS team again and are looking for a talented
Lead ML Engineer to
join our international team and take part in groundbreaking projects that define the blockchain industry. Clain is building sophisticated analysis software that provides regulatory compliance for crypto related businesses and empowersforensic investigators with ingenious tools to detect and explore crypto-enabled crimes. We offer an ideal workplace for those who wantto have a real impact on the growth of an organization and arecraving responsibilities.
What we offer: - A chance to work with cool crypto compliance products and make a real impact on the business
- Powerful server hardware (from 32 CPUs and 256Gb RAM) for work and experiments
- Petabytes of on-chain data and gigabytes of off-chain data: tabular data, json, texts and even pictures
- Relocation to Cyprus (Limassol) with employment and social guarantees in accordance with Cypriot law (the possibility of fully remote work
depends on the location and is discussed individually)
- Flexible start of the working day and optionally hybrid working week
- Collaborative and supportive team atmosphere
Key Responsibilities: - Research, design, develop, and deploy machine learning models
- Implement and maintain MLOps infrastructure, including CI/CD pipelines for ML
- Develop and enhance LLM for various NLP tasks
- Stay abreast of the latest developments in NLP and LLM research to
continuously innovate and apply best practices to our products.
- Provide technical guidance and mentorship to team members
Requirements: - 5+ years of experience in machine learning engineering and MLOps, with a focus on classic ML and LLM solutions.
- Proven experience with tech stack: Python; SQL; ML: TensorFlow or PyTorch, scikit-learn; MLOps: Airflow, MLflow; NLP: transformers, LLM, NLU, Langchain; containerization and orchestration tools: Docker, Kubernetes; version control systems (e.g., Git) and CI/CD pipelines
- Experience as ML researcher
- Strong knowledge of data structures, algorithms, and software design principles
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
- Intermediate English for communication in the international team
It will be a plus: - Familiar with the principles of Blockchain technology
- PhD degree and publications
Contact us: tg
@elena_yank
