Description
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
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