Senior AI/ML Advanced Analytics Engineer

Overview

Credence has an immediate need for a Senior Advanced Analytics - Artificial Intelligence (AI)/ Machine Learning (ML) Lead/Engineers/Developers/SME to join our growing and Automation practice.  Join Credence Management Solutions, a federal contractor who seeks Senior Advanced Analytics - Artificial Intelligence (AI) and Machine Learning (ML) Engineers/Developers to immediately bolster our thriving AI and Automation Practice.

Responsibilities

• Spearhead the development and execution of groundbreaking projects in collaboration with federal government clients, leveraging advanced AI and ML technologies.
• Exhibit an unyielding commitment to innovation, playing a pivotal role in propelling projects to successful completion while upholding the highest standards of excellence.
• Lead and cultivate strong client partnerships, guiding the integration of state-of-the-art AI/ML, automation, and data analytics solutions tailored to the unique needs of the federal sector.
• While prior expertise in AI and ML is highly valued, an eagerness to continually expand knowledge and expertise in these domains is essential to stay at the forefront of evolving technologies.

Qualifications

• US Citizenship required with an ability to obtain a Federal Clearance.
• Bachelor of Science in one of the following subject areas:
• Computer Science, Data Scientist, Information Technology, or related field.
• Certification Cloud technologies e.g., GCP, Microsoft Azure or AWS is a plus.
• Security Certification; Database Certification is a plus.
• Must have 5 five plus years of prior experience with AI/ML and Data Science. 
• Must have experience with Data analysis, Data mining, Data visualization, Statistics, and/or Graph algorithms.
• Must have knowledge of Economic analysis, Cost analysis, and/or financial analysis.
• Must have knowledge of Trend analysis, Cost estimation, or financial planning.
• Must have a minimum of 5 five plus years of related experience as a BI Analyst, Data Engineer, or Data Architect.
• Mus t have prior experience in various scripting languages e.g., Python.
• Procedural Skills (Triggers, stored procedures, functions).
• Metadata management and repository usage.
• Must have hands on knowledge of Natural Language Processing (NLP) platforms.
• General Systems management and networking skills.
• Experience with Cloud database tools.
• Knowledge of AI/ML and tools e.g., Pytorch, TensorFlow.