onsite
Applied AI Research Engineer - accrete
Research Engineer
Lead the design and deployment of advanced AI agents that process multimodal data, leveraging Python, deep learning, NLP, and computer vision to deliver actionable insights and intelligent recommendations for business and government clients.
About the role
Key Responsibilities
- Design, develop, and optimize end‑to‑end AI agent pipelines that ingest and analyze multimodal data streams.
- Implement state‑of‑the‑art deep learning models for NLP, computer vision, and reinforcement learning tasks.
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
- Conduct rigorous experimentation, hyper‑parameter tuning, and performance evaluation to ensure model robustness.
- Deploy models to production environments, monitor real‑time performance, and iterate for continuous improvement.
Requirements
- Strong proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow.
- Deep knowledge of NLP, computer vision, and reinforcement learning techniques.
- Hands‑on experience building and deploying AI agents in real‑world settings.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
- Effective communication skills for collaborating with stakeholders and presenting technical concepts.
Skills
pythonmachine learningdeep learningnlpcomputer visionreinforcement learning