Senior Data Scientist

📋 Description

• End-to-End model development: design, train, validate, deploy ML models.
• Advanced Analytics: apply statistics and ML techniques to solve business challenges.
• Computer Vision Solutions: develop CV models for real-world use cases.
• Generative AI & LLMs: design GenAI apps using LLMs, prompts, embeddings, and RAG.
• System Integration: integrate AI/ML models into applications via APIs.
• Data Pipelines & MLOps: build scalable data pipelines and deploy models using MLOps.

🎯 Requirements

• 5+ years in Data Science, ML, or AI roles.
• Strong Python and SQL for large-scale data analysis.
• Hands-on ML with scikit-learn, TensorFlow, or PyTorch.
• Experience building CV models (detection, classification, segmentation).
• Experience with LLMs, prompts, embeddings, and RAG.
• Familiar with data processing or streaming pipelines (Beam, Dataflow, Spark).
• REST APIs and deploying models to production.
• English proficiency B2+.

🎁 Benefits

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan