Machine Learning Engineer
Alexandria, VA · Hybrid
We seek Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] candidates with relevant Government And Public Services Sector Experience ...

Alexandria, VA · Hybrid
We seek Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] candidates with relevant Government And Public Services Sector Experience ...
Alexandria, VA · Hybrid
We seek Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] candidates with relevant Government And Public Services Sector Experience ...
Palo Alto, CA · On-site
Machine Learning Engineer Machine Learning Engineers in our applied division design and build massively scaled systems that power the core of Diffbot's autonomous knowledge extraction system--the ...
Palo Alto, CA · On-site
Machine Learning Engineer Machine Learning Engineers in our applied division design and build massively scaled systems that power the core of Diffbot's autonomous knowledge extraction system--the ...
We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily ... About the role: We're looking for a Staff Machine Learning Engineer to join our team. In this role ...
We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily ... About the role: We're looking for a Staff Machine Learning Engineer to join our team. In this role ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Long Beach, CA · On-site +1
$140K - $220K/yr
Machine Learning Engineer: At Rebel Space, our mission is to protect critical space infrastructure through enhanced observability and space system cybersecurity. We believe that as space ...
Long Beach, CA · On-site +1
$140K - $220K/yr
Machine Learning Engineer: At Rebel Space, our mission is to protect critical space infrastructure through enhanced observability and space system cybersecurity. We believe that as space ...
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
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Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
Bodega Bay, CA · Remote
Machine Learning Engineer Location: South San Francisco, CA - hybrid role in Bay Arear Position Type: Contract Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE, Work on ML workflows for molecular ...
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Bodega Bay, CA · Remote
Machine Learning Engineer Location: South San Francisco, CA - hybrid role in Bay Arear Position Type: Contract Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE, Work on ML workflows for molecular ...
Washington, DC · On-site
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Washington, DC · On-site
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Alexandria, VA · Hybrid
We seek Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] candidates with relevant Government And Public Services Sector Experience ...
Quick apply
Alexandria, VA · Hybrid
We seek Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] candidates with relevant Government And Public Services Sector Experience ...
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Quick apply
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data ...
Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data ...
Washington, DC · On-site
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Washington, DC · On-site
Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...
Arlington, VA · On-site
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization ...
Arlington, VA · On-site
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization ...
As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured ...
As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured ...
Arlington, VA · On-site
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization ...
Arlington, VA · On-site
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization ...
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization ...
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization ...
Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate customers. Job Duties and Responsibilities A talented Machine Learning Engineer to support our AI Center of ...
Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate customers. Job Duties and Responsibilities A talented Machine Learning Engineer to support our AI Center of ...
Manhattan, NY · On-site
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...
Manhattan, NY · On-site
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...
Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...
Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...
Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines ...
Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines ...
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?
What are some common challenges faced by Machine Learning Engineers when deploying models to production?
What are Machine Learning Engineers?
What jobs make $3,000 a month without a degree?
What is the difference between Machine Learning Engineer vs Data Scientist?
| Aspect | Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or Master's in CS, Data Science, or related; experience with ML frameworks | Bachelor's or Master's in Statistics, Data Science, or related; strong analytical skills |
| Work Environment | Develops scalable ML models, deploys algorithms into production | Analyzes data, builds models, interprets data insights |
| Industry Usage | Tech companies, startups, AI-focused firms | Finance, healthcare, marketing, research organizations |
While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 23 days ago
ProSidian is a Management And Operations Consulting Services firm that focuses on providing value to clients through tailored solutions based on industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management | Compliance | Business Process | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our multidisciplinary teams bring together the talents of global professionals to complete a wide range of engagements for public and private, defense and civilian government, and non-profit organizations. Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and are aligned at the intersections of assets, processes, policies, and people delivering value. See Link To the ProSidian website at www.ProSidian.com
ProSidian Seeks a Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] for Program Support on a Exempt W2: No Overtime Pay Basis located in the Mid Atlantic Region and listed under a Data Scientist Labor Category as a Engagement Team Mid Level Professional aligned under services related to NAICS: 541611 - Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services - DPLH Est.: 1920 Hrs. ST | 0 Hrs. OT on a Exempt W2: No Overtime Pay Contract Contingent Basis, generally located across the Alexandria, VA (Hybrid) Across The Mid Atlantic Region supporting a Human Capital Analytics & IT Modernization for Federal science agency HR modernization
The Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] is aligned with GSA Labor Category: Data Scientist.
We seek Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] candidates with relevant Government And Public Services Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Government And Public Services Sector Clients such as NSF. 0
JOB OVERVIEW
Provide services and support as a Machine Learning Engineer [Business Analytics Support: HR Technology Ecosystem, And Enterprise-Wide Decision-Making Capabilities Enhancement] in the Government And Public Services Industry Sector focusing on HC | Human Capital Solutions for clients such as National Science Foundation (NSF | OCHCO / OCIO) | Office of the Chief Human Capital Officer (OCHCO) / Office of the Chief Information Officer (OCIO) Generally Located In Alexandria, VA (Hybrid) and across the Mid Atlantic Region (Of Country/World) Working Hybrid On/Off Client Site.
Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.
Intelligent Automation (AI & RPA): Implement intelligent automation of HR business processes using agency-approved technologies such as robotic process automation (RPA), AI-driven workflows, and chatbots. The ProSidian Engagement Team should recommend and implement a balanced mix of RPA and AI capabilities based on business needs, control requirements, and return on investment, and provide guidance on machine learning ethics and responsible AI in alignment with federal policy.
RESPONSIBILITIES AND DUTIES - Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057]
Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.
Intelligent Automation (AI & RPA): Implement intelligent automation of HR business processes using agency-approved technologies such as robotic process automation (RPA), AI-driven workflows, and chatbots. The ProSidian Engagement Team should recommend and implement a balanced mix of RPA and AI capabilities based on business needs, control requirements, and return on investment, and provide guidance on machine learning ethics and responsible AI in alignment with federal policy. Machine Learning Engineer Candidates work to facilitate AI & RPA Automation delivering Human Capital Technology Support - Intelligent Automation (AI & RPA) through Train models | deploy AI | generate insights. Further, they Develop ML models, integrate AI into workflows, support predictive analytics.
Machine Learning Engineer Professionals typically cover Intelligent Automation (AI & RPA) Functional Area / Swim Lane / Category Disciplines and serve as Senior specialist or technical lead scope requiring independent execution, strong subject-matter expertise, and responsibility for complex deliverables.. They Engineer, test, and optimize technical components for Intelligent Automation (AI & RPA); support system integration, data pipelines, automation routines, cloud services, and operational reliability.
The role(s) are located in the Mid Atlantic Region, at or near Alexandria, VA (Hybrid). Initially identified Work Site Address (Working Hybrid On/Off Client Site: 401 Dulany Street Randolph Building Alexandria, VA 22314
Desired Qualifications For Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] (NSF0057057) Candidates:Â 5+ years ML.
Education / Experience Requirements / Qualifications
Bachelor's/Master's Data Science. Â 5+ years ML.
Skills Required
Primarily focused on Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services initiatives and aligned with Program Support activities Human Capital Technology Support - Intelligent Automation (AI & RPA) Functional Area Activities.Â
Python, ML, NLP
Competencies Required
Ancillary Details Of The Roles
Other Details
Supports AI insights
#TechnicalCrossCuttingJobs #Government And Public Services #Jugaad #Copitas #AskWhy #Zakat #PokaYoke #AskidaEmek
As a condition of employment, all employees must meet the requirements of their roles: establish, manage, pursue, and achieve annual goals and objectives with Documented Goals for each of the firm's Eight ProSidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and support all business development and other efforts on behalf of ProSidian.
Eight ProSidian Global Competencies
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OTHER REQUIREMENTS
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BENEFITS AND HIGHLIGHTS
ProSidian Employee Benefits and Highlights - Your health and well-being are crucial to ProSidian. At ProSidian, we invest in our employees to help them maintain their health and achieve work-life balance. We are pleased to offer the Employee Benefits Program, designed to promote your health and personal well-being. Our growing list of benefits currently includes the following for Full-Time Employees:
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ProSidian is a management and operations consulting firm with a reputation for its strong national practice spanning six solution areas including Risk Management, Energy & Sustainability, Compliance, Business Process, IT Effectiveness, and Talent Management. We help clients improve their operations. Linking strategy to execution, ProSidian assists client leaders in maximizing company return on investment capital through design and execution of operations core to delivering value to customers. Visit www.ProSidian.com or follow the company on Twitter at www.twitter.com/ProSidianfor more information.
Business schools and computer and management training
11 - 50 Employees
Charlotte, NC, US
2004