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1 month ago
Job Summary
In this role, you will architect and build new generative AI-based products and offerings and their integration into specific client missions, both within the enterprise business context and in operational use cases. You’ll collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions. Your advanced solutioning skills and extensive technical expertise will help drive innovation that is applicable across multiple client domains.
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 5 years
Job Description/Requirements
Nice To Have:
- 5+ years of experience in software engineering, machine learning engineering, data science, or data research
- 1+ years of experience with integrating large language models, GPT models or multi-modal models with applications or user interfaces
- Experience working with relational and non-relational databases
- Experience with standup of Cloud-based infrastructure and platform services, including AWS, Azure, or Google Cloud Platform
- Experience with working in a collaborative, cross-functional team environment consisting of security engineers, data scientists, machine learning engineers, and designers
- Ability to distill complex technical concepts into easily understood summaries consumable by business leaders with a non-technical background
- Ability to obtain a security clearance
- Bachelor’s degree
Nice If You Have:
- 2+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing and LLM frameworks
- Experience with MLOps, including CI/CD, model training or testing, deployment or monitoring
- Experience working with federal clients
- Possession of strong verbal and written communication skills
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