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What You’ll Do:
- Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems
- Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment
- Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design
Qualifications:
- BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience
- 5+ years of experience developing and deploying machine learning systems in production
- Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation
Additional Skills:
- Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face)
- Advanced Python programming skills and solid software engineering fundamentals
- Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment
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