Responsibilities:

• Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.

• Develop end-to-end plans for cloud native AI/ML/NLP innovations that are compliant with cybersecurity policies.

• Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.

• Mentor more junior data scientists and guide the team in adopting the new technologies and techniques.

Qualifications:

• BA/BS degree and 7 years or more of experience in data analytics, data modeling, machine learning, natural language processing, security, and artificial intelligence technologies in cloud native environments (AWS, Azure, Google). Additional experience may be substituted for educational requirements where appropriate.

• BS degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

• Minimum 7 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role.

• Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations

• Track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in cloud native environments.

• Strong communication and teamwork abilities.

• Programming Languages: Python, R, SQL, Java

• LLM’s and GenAI

• AI, ML, NLP Frameworks, models, and tools

• Terraform and Gitlab Pipelines

• Machine Learning & Statistical Tools PyTorch

• Experience with Frontier models

• Experience with Databricks

• Data Manipulation & Analysis

• Visualization Tools Tableau, Power BI

• Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, Sage Maker, Redshift), Azure, and GCP

• Version Control & Collaboration: Git, Docker