ML/AI Engineer

We are looking for an AI/ML Engineer to design, build, and deploy machine learning models and

AI-powered applications at scale. You will develop and productionize ML pipelines, build and

integrate LLM/agent-based solutions, and ensure models are reliable, performant, and

monitored in production. You'll work closely with data engineering and analytics teams to source

high-quality training data, and with product/engineering teams to embed AI capabilities into

real-world systems.

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  Design, train, evaluate, and deploy ML models and AI/LLM-based solutions into production

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  Build and maintain ML pipelines for training, evaluation, versioning, and serving (MLOps)

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  Develop and integrate agentic workflows and LLM-powered applications (e.g., RAG systems, tool-using agents)

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  Monitor model performance in production (drift, latency, cost, and quality) and iterate accordingly

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  Collaborate with data engineers to define data requirements and ensure ML-ready datasets

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  Partner with product and engineering teams to translate business problems into ML/AI solutions

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  Uphold responsible AI practices: model evaluation, bias/safety checks, and governance standards

Programming

• Python, SQL

• Experience with ML frameworks (PyTorch or TensorFlow)

Cloud Platforms

• Google Cloud Platform (GCP)

• Microsoft Azure

ML/AI Platforms & Tools

• Vertex AI

• BigQuery ML

• Azure Machine Learning

LLM / Generative AI

• Experience with LLM APIs (e.g., Gemini, OpenAI, Anthropic)

• Experience with Agent Development Kit (ADK) or similar agent frameworks

• Familiarity with RAG architectures and vector databases

Model Development & Evaluation

• Experience with the full ML lifecycle: training, evaluation, tuning, deployment

• Familiarity with prompt engineering and LLM evaluation techniques

• Understanding of model monitoring, drift detection, and retraining triggers

MLOps & Infrastructure

• CI/CD for ML pipelines

• Model versioning and experiment tracking (e.g., MLflow, Vertex AI pipelines)

• Containerized deployment (Docker, Kubernetes)

• Infrastructure as Code (e.g., Terraform) is a plus

• Equity trading, investment or financial domain expertise

• Experience designing multi-agent systems or complex orchestration workflows

• Track record of taking ML models from prototype to production at scale

• Experience with fine-tuning or custom model training (not just API consumption)

• Familiarity with responsible AI / governance frameworks and model risk management

• English: Upper-Intermediate (B2) or above.

• Ukrainian: Native or fluent proficiency.

• Corporate housing access — up to 2–3 weeks of free accommodation per year in Larnaca (Cyprus) for vacations, business trips, or work-related travel.

• Comprehensive health insurance, including annual medical check-ups.

• Psychological support program (up to four sessions per month).

• Partial compensation for tennis training, gym memberships, other sports activities, rehabilitation, massages, and participation in competitions, including international events.

• Partial reimbursement for external professional education and certifications.

• Full access to internal educational, cultural, and entertainment initiatives, including guest lectures.