Senior AI/ML Data Scientist

About the Role

Key Responsibilities

• Hands-on experience in Python, RAG LLM, NLP, ML, and Generative AI.
• Analyze trends and transactional data to develop automated data solutions.
• Develop, test, and deploy new techniques for NLP understanding.
• Scale development and deployment of ML and Generative AI approaches, including LLMs.
• Train and optimize NLP/LLM models and create Python-based pipelines.
• Build cloud-native solutions on AWS.
• Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
• Advise on methods and data needed to evaluate intelligence or data problems.
• Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
• Provide accurate, timely, and sophisticated data analysis.

Requirements

• Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science.
• Minimum 8 years of Data Scientist experience.
• Experience with Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs).
• Fluency in Python programming, version control, and collaboration with GIT.
• Knowledge of Python packages such as Pandas, Numpy, Matplotlib, and ML frameworks like TensorFlow, PyTorch, scikit-learn, NLTK.
• Experience with cloud platforms like AWS EC2 and Azure ML (optional).
• Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks like Airflow.
• Expertise in conducting data analysis and applying advanced statistical and ML methods.
• Experience with ML model deployment and operations including DevOps, MLOps, LLMOps.
• Ability to clean and process large real-world datasets from various sources including SQL databases, Hadoop, and flat files.
• Excellent analytical, problem-solving, and communication skills.

Nice to Have

• Experience building AI chatbots.
• Experience with semantic search and NLP libraries like spaCy, LangChain.
• Experience with distributed processing via Hadoop ecosystem (Spark, Impala, Hive).
• Experience with GPU programming with CUDA.
• Experience with Mathematica and markup languages such as LaTeX and HTML.
• Prior experience with federal or state government IT projects.

Qualifications

• Bachelor's degree in relevant field.
• Minimum 8 years of industry experience as a Data Scientist.
• Ability to obtain and maintain a Public Trust clearance.

Benefits & Perks

• Pay range of $65/hr - $85/hr.
• Inclusive and diverse work environment.
• Opportunities to work on cutting-edge AI and data science projects.