AI and ML Engineer, Mid
Job title: AI and ML Engineer, Mid in Charleston, SC at Booz Allen Hamilton
Company: Booz Allen Hamilton
Job description: AI and ML Engineer, MidThe 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 the next generation of systems. As a machine learning engineer on our team, youâll train, test, deploy, and maintain models that learn from data.In this role, youâll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. Youâll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and subject matter experts to deliver world class solutions to process data and information to provide near real-time analysis. Your advanced 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.Join us. The world canât wait.You Have:Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies, including Hive, PySpark, Synapse, or DatabricksExperience developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) enabled solutionsExperience working with API services for serving NLP and analytical models, including Flask or Fast APIExperience with DevOps Tools, such as Docker, K8s, Gitlab CI/CDKnowledge of AI-enabled systemsKnowledge of AI concepts, such as clustering, regression, algorithm selection, and evaluationAbility to address unbounded technical issues and problem solvePublic TrustBachelorâs degreeNice If You Have:Experience with HTML, CSS, and front-end web frameworksExperience with Amazon Web Services (AWS) or Azure AI ML Services such as Bedrock and SagemakerExperience working in enterprise systemsExperience with Data Operations, such as analytics, engineering, or platformKnowledge of artificial intelligence principles and practices, including deploying ML models into productionAbility to evaluate algorithm performanceSecurity, Cloud, Software Development, AI/ML, Computer Vision, Deep Learning, or NLP CertificationVetting:Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.CompensationAt 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. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allenâs benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individualâs 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 $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allenâs total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity StatementAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.Work Model
Our 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, youâll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, youâll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-DiscriminationAll 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.
Expected salary: $61900 - 141000 per year
Location: Charleston, SC
Apply for the job now!
Apply Now
Company: Booz Allen Hamilton
Job description: AI and ML Engineer, MidThe 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 the next generation of systems. As a machine learning engineer on our team, youâll train, test, deploy, and maintain models that learn from data.In this role, youâll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. Youâll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and subject matter experts to deliver world class solutions to process data and information to provide near real-time analysis. Your advanced 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.Join us. The world canât wait.You Have:Experience in AI, Python programming, and deep learning frameworks, including PyTorch, MXNet, TensorFlow, or Keras, and big data technologies, including Hive, PySpark, Synapse, or DatabricksExperience developing Natural Language Processing (NLP), Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) enabled solutionsExperience working with API services for serving NLP and analytical models, including Flask or Fast APIExperience with DevOps Tools, such as Docker, K8s, Gitlab CI/CDKnowledge of AI-enabled systemsKnowledge of AI concepts, such as clustering, regression, algorithm selection, and evaluationAbility to address unbounded technical issues and problem solvePublic TrustBachelorâs degreeNice If You Have:Experience with HTML, CSS, and front-end web frameworksExperience with Amazon Web Services (AWS) or Azure AI ML Services such as Bedrock and SagemakerExperience working in enterprise systemsExperience with Data Operations, such as analytics, engineering, or platformKnowledge of artificial intelligence principles and practices, including deploying ML models into productionAbility to evaluate algorithm performanceSecurity, Cloud, Software Development, AI/ML, Computer Vision, Deep Learning, or NLP CertificationVetting:Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.CompensationAt 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. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allenâs benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individualâs 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 $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allenâs total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity StatementAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.Work Model
Our 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, youâll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, youâll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-DiscriminationAll 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.
Expected salary: $61900 - 141000 per year
Location: Charleston, SC
Apply for the job now!
Apply Now