Senior AI/ML Advanced Analytics Engineer

Key Skills

Aartificial intelligence, AWS, Azure, Data Engineering, Data science techniques, Data Visualization, Google Cloud Platform (GCP), IT, Machine learning techniques, PyTorch, TensorFlow

Job Description

Responsibilities include, but are not limited to the duties listed below

• 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.

Education, Requirements and Qualifications

• US Citizenship required with an ability to obtain a Federal Clearance.
• Masters or Doctorial Degree in an AI Or Data Science related field.
• Bachelor of Science Degree in one of the following subject areas with 10+ years of work experience:
• 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 hands on knowledge architecting, developing and deploying AI/ML solutions and applications
• Must have experience with Data Engineering, Data analysis, Data mining, Data visualization, Statistics, and/or Graph algorithms.
• Must have prior hands-on scripting languages experience in Python.
• Must have prior experience in developing in AWS, GCP or Azure environements
• General Systems management and networking skills.
• Experience with Cloud database tools.
• Knowledge of AI/ML libraries, models, and tools e.g., LLAMA-2, Pytorch, TensorFlow.