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ML Engineer (LLM)
Evnek
posted 25d ago
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Job Description
- 6+ years in AI and machine learning, with hands-on expertise in LLMs and agentic system development and deployment. Proficiency in NLP & LLMs: Strong experience with large language models (GPT-3/4, Claude, etc, and understanding of transformer architectures, Pre training, fine-tuning, prompt engineering, and task adaptation.
- Agentic Systems Expertise : Knowledge in creating and deploying agentic systems with a goal-oriented design, leveraging reinforcement learning (RL) or other methods for autonomous task management.
- Technical Skills: Advanced proficiency in Python, ML libraries ( Hugging FaceTransformers, TensorFlow, PyTorch ), and data processing libraries (Pandas, NumPy).
- MLOps & Deployment: Experience with MLOps practices, particularly for deploying large models and agentic systems in production environments (Docker, Kubernetes, MLFlow, or similar).
- Data Management : Familiarity with data engineering principles, including handling large datasets and real-time processing for model training, and experience with cloud platforms (AWS, GCP, Azure).
- Independent Problem Solving : Strong analytical skills with a proven track record of working independently to solve complex AI challenges.
- Communication Skills : Ability to clearly articulate technical concepts and AI-driven insights to non-technical stakeholders and document work for continuity.
Employment Type: Full Time, Permanent
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