Senior Machine Learning Engineer (Government Project)

Russia relocation to Abu Dhabi, UAE (Onsite).** Format: Contract, Full-time (initially 2+ months with a high probability of extension). Language: English (B2+ and higher). Relocation: Full support for relocation. Conditions: Minimum first 6 months working on-site (Onsite), then a transition to hybrid or remote work is possible upon agreement.

🚀 About the project: Development of AI products for the government sector in a secure environment (regulated, security-sensitive environment). The stack includes GenAI (LLM) and predictive analytics for decision automation.

🛠 Technology stack: Languages: Python (PyTorch/TensorFlow, scikit-learn, Pandas/NumPy). GenAI: Transformers, Hugging Face, LangChain. MLOps: Docker, Kubernetes, MLflow, Kubeflow. Data: SQL + processing of unstructured data (PDF/text).

📋 Responsibilities: — Creation and fine-tuning of LLM/NLP pipelines for structuring complex technical and regulatory texts. — Designing RAG systems and semantic search over vast document collections. — Development of predictive models: time series, risk scoring, anomaly detection. — Deploying models to production: containerization, deployment in closed (on-prem) environments. — Inference optimization (quantization, distillation), monitoring, and fine-tuning of retraining loops.

🎯 Requirements (Must-have): — 5+ years of experience in ML Engineering with proven experience in deploying models to Production. — Deep knowledge of Python and ML frameworks. — Practical experience with transformers and tools like LangChain. — Data Engineering skills (text preprocessing, SQL). — Willingness to undergo strict security screening (security/background screening).

➕ Bonus points: — Experience working in regulated domains or with secure on-prem environments. — Knowledge of graph algorithms and methods for formalizing complex rules.

(please specify ID: A-027_Gul)