WHAT AM I GOING TO DO?
- Develop, fine-tune, and deploy advanced LLM-based chatbots using Python.
- Design and implement end-to-end data pipelines, including data collection, preprocessing, and feature engineering.
- Train, evaluate, and optimize machine learning models, particularly in NLP domains.
- Collaborate with cross-functional teams to define project requirements and deliver scalable AI solutions.
- Deploy and monitor machine learning models in production environments, ensuring performance and reliability.
- Stay updated with the latest developments in AI, machine learning, and NLP technologies.
- Mentor junior team members and contribute to the team’s technical growth.
- Work with multi-modal data, including images and videos, to ensure seamless workflows and high-quality outcomes.
REQUIREMENTS
- 5+ years of experience in data science and machine learning, with a focus on NLP and LLMs.
- Expertise in Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
- Proven experience building chatbots and integrating LLM tools.
- Strong understanding of machine learning workflows, from data preparation to production deployment.
- Proficiency in working with cloud platforms (e.g., AWS, GCP, Azure) for AI/ML applications.
- Experience with MLOps practices, including CI/CD pipelines, model monitoring, and version control.
- Excellent communication and collaboration skills.
Nice to have:
- Proficiency in prompt engineering, fine-tuning models, and coding workflows.
- Familiarity with data governance and lineage tools.
- Knowledge of advanced ML topics such as reinforcement learning or federated learning.
- Experience integrating ML models with APIs and real-time systems.
- Level 3 Civilian Clearance
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