Senior AI/ML Solutions Architect
5 hours ago
Credence Management Solutions is seeking a highly skilled Senior Artificial Intelligence (AI)/Machine Learning (ML) Solutions Architect to join our growing Automation practice.
The ideal candidate will have a strong background in AI/ML and data science, with experience in developing and deploying AI/ML solutions and applications. They will also have a proven track record of leading and cultivating 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.
The Senior AI/ML Solutions Architect will spearhead the development and execution of groundbreaking projects in collaboration with federal government clients, leveraging advanced AI and ML technologies. They will exhibit an unyielding commitment to innovation, playing a pivotal role in propelling projects to successful completion while upholding the highest standards of excellence.
Responsibilities:
- Spearhead the development and execution of AI/ML projects in collaboration with federal government clients.
- Lead and cultivate strong client partnerships, guiding the integration of AI/ML, automation, and data analytics solutions.
- Develop and deploy AI/ML solutions and applications.
- Exhibit a commitment to innovation and excellence in AI/ML project delivery.
Requirements:
- US Citizenship required with an ability to obtain a Federal Clearance.
- Masters or Doctoral Degree in an AI or Data Science related field.
- Bachelor of Science Degree in Computer Science, Data Scientist, Information Technology, or related field with 10+ years of work experience.
- Certification in Cloud technologies (e.g., GCP, Microsoft Azure, or AWS) is a plus.
- Security+ Certification; Database Certification is a plus.
- 5+ years of prior experience with AI/ML and Data Science.
- Hands-on knowledge of architecting, developing, and deploying AI/ML solutions and applications.
- Experience with Data Engineering, Data analysis, Data mining, Data visualization, Statistics, and/or Graph algorithms.
- Hands-on scripting languages experience in Python.
- Experience in developing in AWS, GCP, or Azure environments.
- 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).
Working Conditions and Physical Requirements:
- Onsite in McLean, VA or Washington, DC.
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