Amazon Web Services (AWS)
Senior Data Scientist, Data and Machine Learning, WWPS US Federal
Amazon Web Services (AWS), Arlington, Virginia, United States, 22201
Senior Data Scientist, Data and Machine Learning, WWPS US Federal
Join to apply for the
Senior Data Scientist, Data and Machine Learning, WWPS US Federal
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Amazon Web Services (AWS) Are you excited to help the US Intelligence Community design, build, and implement artificial intelligence (AI) algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI (GenAI) methods. We build models and Machine Learning Operations pipelines for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs). Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs. At AWS, we're hiring experienced Data Scientists with a background in both traditional and generative AI who understand the unique challenges of the Signals Intelligence (SIGINT) and Cyber Operations domains, with experience applying data science and machine learning to transform Intelligence Community production chains. In this role, you will work at the intersection of SIGINT, Cyber Operations, and cloud computing, helping customers understand the opportunities their data presents, applying the full suite of AWS's AI/ML services to transform missions, and building solutions that earn the customer trust needed for deployment to production systems. You will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. This position is expected to work within the Ft. Meade/CMD location, and requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with polygraph. Key job responsibilities: Collaborate with AI/ML Scientists and Architects to research, design, develop, and evaluate AI algorithms to address real world challenges. Participate in the design and construction of Machine Learning Operations (MLOps) pipelines and architectures. Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. This position may require up to 25% local travel. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience. 5+ years of experience in: migrating and transforming legacy SIGINT/Cyber capabilities through data science and machine learning approaches; and building models within SIGINT/Cyber operational constraints. Professional experience applying data science within Intelligence Community production chains. Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning. Current, active US government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications: Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Experience using Python and hands on experience building models with deep learning frameworks (i.e., Tensorflow, Keras, PyTorch, MXNet). Experience building applications leveraging GenAI. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Join to apply for the
Senior Data Scientist, Data and Machine Learning, WWPS US Federal
role at
Amazon Web Services (AWS) Are you excited to help the US Intelligence Community design, build, and implement artificial intelligence (AI) algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI (GenAI) methods. We build models and Machine Learning Operations pipelines for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs). Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs. At AWS, we're hiring experienced Data Scientists with a background in both traditional and generative AI who understand the unique challenges of the Signals Intelligence (SIGINT) and Cyber Operations domains, with experience applying data science and machine learning to transform Intelligence Community production chains. In this role, you will work at the intersection of SIGINT, Cyber Operations, and cloud computing, helping customers understand the opportunities their data presents, applying the full suite of AWS's AI/ML services to transform missions, and building solutions that earn the customer trust needed for deployment to production systems. You will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. This position is expected to work within the Ft. Meade/CMD location, and requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with polygraph. Key job responsibilities: Collaborate with AI/ML Scientists and Architects to research, design, develop, and evaluate AI algorithms to address real world challenges. Participate in the design and construction of Machine Learning Operations (MLOps) pipelines and architectures. Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. This position may require up to 25% local travel. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience. 5+ years of experience in: migrating and transforming legacy SIGINT/Cyber capabilities through data science and machine learning approaches; and building models within SIGINT/Cyber operational constraints. Professional experience applying data science within Intelligence Community production chains. Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning. Current, active US government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications: Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Experience using Python and hands on experience building models with deep learning frameworks (i.e., Tensorflow, Keras, PyTorch, MXNet). Experience building applications leveraging GenAI. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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