Python Software Engineer - ML/LLM
#удаленка #релокация #senior #600k
Локация: Лимассол, Ларнака, Пафос
Company: Ennabl
Salary: от 650 000 ₽
☑️The Role
We are seeking a skilled Python Software Engineer to become an indispensable part of our dynamic team. The successful applicant will actively collaborate on numerous AI-centric projects, with a strong concentration on efficiently processing unstructured data utilizing cutting edge Large Language Model/ Machine Learning principles.

☑️Qualifications
-5+ years of relevant experience
-Strong coding skills and solid CS fundamentals
-Expert-level proficiency with Python and its ecosystem
-Experience building and integrating complex APIs and frontends
-Excellent verbal and written communication skills (fluent English)
-Strong analytical and problem-solving abilities

☑️Preferred Qualifications
-Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Gemini) is a strong plus
-Experience with modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
-Experience with AWS

☑️Responsibilities
-Design, develop, and deploy ML/LLM based systems using your core coding skills and ML knowledge
-Take end to end ownership of AI services: from data pipelines, feature engineering/prompt engineering, model training, as well as integration into our production systems
-Work closely with internal teams to integrate AI solutions into ennabl’s platform
-Collaborate with Data Scientist to analyze data and refine AI algorithms

☑️What we offer
-Remote work flexibility
-Company stock options granted to employees
-Medical insurance coverage for both the employee and a family
-Employment fully compliant with Cyprus labor legislation, including all mandatory contributions
-Relocation Support: Coverage of flight tickets for you and your family, Payment for accommodation, Assistance with documentation and settling in.
-Reimbursement for software, hardware, and professional development expenses
Contact: hr@ennabl.com

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Machine Learning Evaluation Engineer (Agentic Mobile App Generator)
#офис
Cyprus
Company: JetBrains
☑️In this role, you will:
-Design, build, and maintain evaluation pipelines.
-Work with AI engineers, mobile experts, and product designers to establish quality standards and test plans.
-Develop ways to assess the completeness, security, and performance of generated apps.
-Analyze evaluation results, identify areas to improve code generation, and give feedback to the development team.
-Develop and run test plans, test cases, and automated tests.
-Improve our testing methods and QA processes in an agile environment.
-Join discussions, design reviews, and brainstorming sessions around AI tools.

☑️We'd like you to join the team if you:
-Have at least three years of QA or evaluation engineering experience in commercial software, with a strong background in testing complex systems.
-Have experience or interest in building and maintaining evaluation pipelines for AI-assisted development, prompt engineering, or ML-based code generation.
-Have experience with data analysis tools or ML experiment tracking platforms.
-Understand software testing methods, including functional, performance, and integration testing.
-Are proficient in Python, Kotlin, Java, Swift, or similar languages.
-Work well in distributed, cross-functional teams.
Have strong English communication skills and can explain complex ideas clearly.
Contact: https://job-boards.eu.greenhouse.io/jetbrains/jobs/4695576101

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Data Engineer
#офис
Company: Gsrmarkets
Salary: $80k - $95k estimated
☑️Your responsibilities may include:
-Design and evolve core data models and services that standardise trade, market, pricing, risk and finance data across streaming, lake/lakehouse and warehouse layers.
-Build and operate streaming and batch pipelines to capture orders, quotes, trades and market data; reconcile sources; and deliver trusted, versioned datasets for analytics, risk and finance.
-Implement robust data quality, lineage, governance and access controls; define SLAs/SLOs and data contracts to ensure reliability and auditability.
-Manage cloud‑based storage and processing (AWS preferred), optimizing for cost, performance and scalability; support time‑series and dimensional analytics.
-Develop monitoring, alerting, anomaly detection and playbooks for incident response, backfills and reprocess/replay.
-Partner with stakeholders across Front Office, Risk, Finance, Business Development, Operations and Compliance to translate requirements into pragmatic data products; document, review and continuously improve tooling and processes.

☑️What We’re Looking For
-8+ years in data engineering within financial markets. Experience in at least one of Front Office (Sales & Trading), Risk Management, Finance, Business Development, Operations, or Compliance is required.
-Strong programming in Python, Java and SQL; experience with Rust is a plus.
-Proven track record architecting streaming and batch ETL/ELT at scale using modern data pipeline and messaging technologies.
-Solid understanding of market/trade data lifecycles and time‑series concepts, or equivalent experience working with financial datasets.
-Hands‑on with a major cloud platform (AWS preferred) and cloud‑native data services; experience operating lake/lakehouse and warehouse architectures.
-Strong grasp of data governance, security and data quality practices, including lineage, cataloging and role‑based access.
-Demonstrated ability to deliver high‑reliability systems with clear SLAs, efficient backfill/replay strategies and cost/performance optimization.
-Excellent communication skills with the ability to align technical and non‑technical stakeholders.
Contact: https://job-boards.eu.greenhouse.io/gsrmarkets/jobs/4588018101

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