Booz Allen Hamilton
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Palantir Chief Engineer
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Booz Allen Hamilton The Opportunity:
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support mission-critical projects for our Defense clients. As a senior machine learning engineer on our core Palantir team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with key stakeholders, data engineers, developers, and data consumers to deliver world-class solutions to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for our defense clients. You Have:
8+ years of experience in data operations such as data science, data engineering, data platforms, AI, ML, or software development 5+ years of experience in a facet of Palantir, including data modeling, ontology mapping, or data visualization 5+ years of experience with Python or TypeScript 5+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems Ability to work in a fast-paced, Agile environment Ability to travel up to 20% of the time Secret clearance Bachelor's degree Nice If You Have:
Experience working with different teams within the Department of Defense Experience with Databricks Experience working in mission-oriented analytics or logistics-based data environments Experience with Git-based code repositories and CI/CD workflows Knowledge of working with Maven Smart Systems, including AIP Knowledge of DevSecOps best practices and software lifecycle methodologies Possession of excellent problem-solving skills Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). Commitment to Non-Discrimination:
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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Palantir Chief Engineer
role at
Booz Allen Hamilton The Opportunity:
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support mission-critical projects for our Defense clients. As a senior machine learning engineer on our core Palantir team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with key stakeholders, data engineers, developers, and data consumers to deliver world-class solutions to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for our defense clients. You Have:
8+ years of experience in data operations such as data science, data engineering, data platforms, AI, ML, or software development 5+ years of experience in a facet of Palantir, including data modeling, ontology mapping, or data visualization 5+ years of experience with Python or TypeScript 5+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems Ability to work in a fast-paced, Agile environment Ability to travel up to 20% of the time Secret clearance Bachelor's degree Nice If You Have:
Experience working with different teams within the Department of Defense Experience with Databricks Experience working in mission-oriented analytics or logistics-based data environments Experience with Git-based code repositories and CI/CD workflows Knowledge of working with Maven Smart Systems, including AIP Knowledge of DevSecOps best practices and software lifecycle methodologies Possession of excellent problem-solving skills Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). Commitment to Non-Discrimination:
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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