Booz Allen Hamilton
AI and ML Engineer, Senior
Booz Allen Hamilton, Washington, District of Columbia, us, 20022
Your growth matters to us - explore our career development opportunities.A PLACE WHERE YOU BELONG
Bring your whole self to work in our culture of respect and inclusivity.SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life.YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.We are seeking a highly skilled and experienced Artificial Intelligence and Machine Learning Engineer to join a team dedicated to rapidly building, testing, and deploying cutting-edge AI solutions. Our team is looking for a hands-on subject matter expert with all processes related to data, including scraping, cleaning, processing, and governance. The ideal candidate should have a solid grasp on the differences between various ML algorithms and frameworks, as well as when to select and apply the best ML approach given a set of constraints. This candidate should also have extensive experience building sophisticated data and modeling pipelines in a client-facing environment. The ideal candidate also has experience leveraging MLOps tools to deploy, maintain, and monitor AI solutions across a variety of client spaces.You Have:5+ years of experience as a machine learning engineer, data engineer, or data scientist3+ years of experience with AI and ML applications, including computer vision, natural language processing, anomaly detection, and reinforcement learningExperience with programming languages, including Python, R, Java, or C++Experience with machine learning frameworks and libraries, including TensorFlow, PyTorch, and scikit-learnKnowledge of data preprocessing, feature engineering, and model evaluation techniquesAbility to work in a fast-paced, collaborative environmentAbility to explain complex technical concepts to non-technical stakeholdersDHS SuitabilityNice If You Have:Experience with MLOps, including model deployment, monitoring, maintenance, and integrating models into larger systemsExperience architecting and deploying generative AI solutions, such as large language models (LLMs)Experience with CI/CD pipelines, such as AWS CodePipeline, Jenkins, or GitHub ActionsExperience with model serving solutions, such as AWS SageMaker, KServe, or Seldon CoreExperience with infrastructure as code technologies, including Terraform, Pulumi, or AnsibleVetting:Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; DHS Suitability is required.CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD).Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.EEO CommitmentWe’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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Bring your whole self to work in our culture of respect and inclusivity.SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life.YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.We are seeking a highly skilled and experienced Artificial Intelligence and Machine Learning Engineer to join a team dedicated to rapidly building, testing, and deploying cutting-edge AI solutions. Our team is looking for a hands-on subject matter expert with all processes related to data, including scraping, cleaning, processing, and governance. The ideal candidate should have a solid grasp on the differences between various ML algorithms and frameworks, as well as when to select and apply the best ML approach given a set of constraints. This candidate should also have extensive experience building sophisticated data and modeling pipelines in a client-facing environment. The ideal candidate also has experience leveraging MLOps tools to deploy, maintain, and monitor AI solutions across a variety of client spaces.You Have:5+ years of experience as a machine learning engineer, data engineer, or data scientist3+ years of experience with AI and ML applications, including computer vision, natural language processing, anomaly detection, and reinforcement learningExperience with programming languages, including Python, R, Java, or C++Experience with machine learning frameworks and libraries, including TensorFlow, PyTorch, and scikit-learnKnowledge of data preprocessing, feature engineering, and model evaluation techniquesAbility to work in a fast-paced, collaborative environmentAbility to explain complex technical concepts to non-technical stakeholdersDHS SuitabilityNice If You Have:Experience with MLOps, including model deployment, monitoring, maintenance, and integrating models into larger systemsExperience architecting and deploying generative AI solutions, such as large language models (LLMs)Experience with CI/CD pipelines, such as AWS CodePipeline, Jenkins, or GitHub ActionsExperience with model serving solutions, such as AWS SageMaker, KServe, or Seldon CoreExperience with infrastructure as code technologies, including Terraform, Pulumi, or AnsibleVetting:Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; DHS Suitability is required.CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD).Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.EEO CommitmentWe’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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