Chenega Professional Services Strategic Business Unit
Sr AI/ML Services MS Engineer
Chenega Professional Services Strategic Business Unit - Washington, District of Columbia, us, 20022
Work at Chenega Professional Services Strategic Business Unit
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Sr AI/ML Services MS Engineer
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Sr AI/ML Services MS Engineer
role at
Chenega Professional Services Strategic Business Unit Summary
**Position contingent on contract award. All information including salary is subject to change based on final contract award and available funding.** Summary
**Position contingent on contract award. All information including salary is subject to change based on final contract award and available funding.**
Come join a company that strives for
Extraordinary People and Exceptional Performance !
Chenega Services & Federal Solutions, LLC,
a
Chenega Professional Services ’ company, is looking for a highly experienced
Senior Artificial Intelligence/ Machine Learning Services Microsoft Engineer
to join our team of IT experts supporting a major federal customer .
As a member of our advanced engineering team, you will provide expert knowledge to teams of experienced engineers across the enterprise. You will engage and lead best-in-class technical solutions for complex enterprise AI/ML development and infrastructure efforts across multiple cross-functional areas. You will work closely with various teams, including Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering.
This position will require the candidate to work in Washington D.C. up to 5 days a week, though it is considered "hybrid."
Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, innovative solutions for our clients.
Responsibilities
Architect and develop complex AI models and systems, including machine learning algorithms, neural networks, and deep learning frameworks. Some areas of expertise we are looking for are: Risk based Supervision,Quality Control, Compliance, Early Warning Systems, Automation of Regulatory Compliance, Consumer Complaint Analysis, Monitoring of Markets, Performance Evaluations, and Predictive Analytics. Create scalable and efficient AI solutions and models that meet business objectives and user needs. Provide input, design expertise, and architectural review of data, AI/ML, and BI pipeline development Stay updated with the latest research and advancements in AI and machine learning. Evaluate and implement new technologies and methodologies to enhance AI capabilities and performance. Work with our team and the customer’s team of AI engineers and data scientists, and provide guidance and solutions on technical challenges. Oversee specific AI project timelines, deliverables, and ensure that projects align with strategic goals and requirements. Collaborate with cross-functional teams, including our federal customers, software engineers, and data scientists, to define requirements and ensure seamless integration of AI systems. Communicate complex technical concepts and findings to non-technical stakeholders clearly and effectively. Help design and implement robust data pipelines for collecting, processing, and analyzing large datasets. Ensure data quality and integrity, and address data-related challenges in AI model development. Optimize AI models for performance, scalability, and efficiency, including fine-tuning hyperparameters and improving training processes. Monitor and evaluate the performance of AI systems in production, and make necessary adjustments for continuous improvement. Develop and execute rigorous testing protocols to validate AI models and ensure they meet quality standards. Implement best practices for code quality, documentation, and version control. Address ethical implications of AI technologies, including fairness, transparency, and privacy concerns. Ensure that AI systems adhere to relevant legal and regulatory requirements. Document AI development processes, methodologies, and model performance. Prepare and present detailed reports and presentations on AI projects and research findings. Engage in ongoing professional development to enhance technical skills and stay abreast of industry trends and advancements. With approval, attend conferences, workshops, and seminars relevant to AI and machine learning. Assist with Agency adoption of AI technologies and governance of generative platforms
Qualifications
Bachelor’s degree in Computer Science or Statistics 10+ years of professional software development experience using on or more of the following languages in a AI/ML or data analytics environment: Python, R , Rust, Java, C++, SAS, SQL. Post graduate course work in AI/ML/Data Science preferred
Knowledge, Skills And Abilities
M365, PowerBI, CoPilot, Azure Cloud, Purview, Power-Automate, Power-Apps & Artificial Intelligence / Machine Learning Platform & Portfolio Implementation, Integration, Innovation Experience with supervised and unsupervised machine learning, Natural language processing (NLP), Deep Learning, Predictive Analytics, Anomaly Detection, Clustering and Segmentation, Decision Trees and Random Forests Experience developing Cloud Computing and DevOps workflows: AWS (SageMaker, EC2, S3), Containerization, Azure Knowledge of Zero Trust principles and security policies Expert level PowerBI and Power Automate preferred
Final salary determination based on skill-set, qualifications, and approved funding.
Many of our jobs come with great benefits - Some offerings are dependent upon the role, work schedule, or location, and may include the following:
Paid Time Off
PTO / Vacation - 5.67 hours accrued per pay period / 136 hours accrued annually
Paid Holidays - 11
California residents receive an additional 24 hours of sick leave a year
Health & Wellness
Medical
Dental
Vision
Prescription
Employee Assistance Program
Short- & Long-Term Disability
Life and AD&D Insurance
Spending Account
Flexible Spending Account
Health Savings Account
Health Reimbursement Account
Dependent Care Spending Account
Commuter Benefits
Retirement
401k / 401a
Voluntary Benefits
Hospital Indemnity
Critical Illness
Accident Insurance
Pet Insurance
Legal Insurance
ID Theft Protection
Teleworking Permitted?
Yes
Teleworking Details
Must reside in the Washington D.C. area, onsite work with some telework
Estimated Salary/Wage
USD $185,000.00/Yr. Up to USD $200,000.00/Yr. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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Sr AI/ML Services MS Engineer
role at
Chenega Professional Services Strategic Business Unit 1 day ago Be among the first 25 applicants Join to apply for the
Sr AI/ML Services MS Engineer
role at
Chenega Professional Services Strategic Business Unit Summary
**Position contingent on contract award. All information including salary is subject to change based on final contract award and available funding.** Summary
**Position contingent on contract award. All information including salary is subject to change based on final contract award and available funding.**
Come join a company that strives for
Extraordinary People and Exceptional Performance !
Chenega Services & Federal Solutions, LLC,
a
Chenega Professional Services ’ company, is looking for a highly experienced
Senior Artificial Intelligence/ Machine Learning Services Microsoft Engineer
to join our team of IT experts supporting a major federal customer .
As a member of our advanced engineering team, you will provide expert knowledge to teams of experienced engineers across the enterprise. You will engage and lead best-in-class technical solutions for complex enterprise AI/ML development and infrastructure efforts across multiple cross-functional areas. You will work closely with various teams, including Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering.
This position will require the candidate to work in Washington D.C. up to 5 days a week, though it is considered "hybrid."
Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, innovative solutions for our clients.
Responsibilities
Architect and develop complex AI models and systems, including machine learning algorithms, neural networks, and deep learning frameworks. Some areas of expertise we are looking for are: Risk based Supervision,Quality Control, Compliance, Early Warning Systems, Automation of Regulatory Compliance, Consumer Complaint Analysis, Monitoring of Markets, Performance Evaluations, and Predictive Analytics. Create scalable and efficient AI solutions and models that meet business objectives and user needs. Provide input, design expertise, and architectural review of data, AI/ML, and BI pipeline development Stay updated with the latest research and advancements in AI and machine learning. Evaluate and implement new technologies and methodologies to enhance AI capabilities and performance. Work with our team and the customer’s team of AI engineers and data scientists, and provide guidance and solutions on technical challenges. Oversee specific AI project timelines, deliverables, and ensure that projects align with strategic goals and requirements. Collaborate with cross-functional teams, including our federal customers, software engineers, and data scientists, to define requirements and ensure seamless integration of AI systems. Communicate complex technical concepts and findings to non-technical stakeholders clearly and effectively. Help design and implement robust data pipelines for collecting, processing, and analyzing large datasets. Ensure data quality and integrity, and address data-related challenges in AI model development. Optimize AI models for performance, scalability, and efficiency, including fine-tuning hyperparameters and improving training processes. Monitor and evaluate the performance of AI systems in production, and make necessary adjustments for continuous improvement. Develop and execute rigorous testing protocols to validate AI models and ensure they meet quality standards. Implement best practices for code quality, documentation, and version control. Address ethical implications of AI technologies, including fairness, transparency, and privacy concerns. Ensure that AI systems adhere to relevant legal and regulatory requirements. Document AI development processes, methodologies, and model performance. Prepare and present detailed reports and presentations on AI projects and research findings. Engage in ongoing professional development to enhance technical skills and stay abreast of industry trends and advancements. With approval, attend conferences, workshops, and seminars relevant to AI and machine learning. Assist with Agency adoption of AI technologies and governance of generative platforms
Qualifications
Bachelor’s degree in Computer Science or Statistics 10+ years of professional software development experience using on or more of the following languages in a AI/ML or data analytics environment: Python, R , Rust, Java, C++, SAS, SQL. Post graduate course work in AI/ML/Data Science preferred
Knowledge, Skills And Abilities
M365, PowerBI, CoPilot, Azure Cloud, Purview, Power-Automate, Power-Apps & Artificial Intelligence / Machine Learning Platform & Portfolio Implementation, Integration, Innovation Experience with supervised and unsupervised machine learning, Natural language processing (NLP), Deep Learning, Predictive Analytics, Anomaly Detection, Clustering and Segmentation, Decision Trees and Random Forests Experience developing Cloud Computing and DevOps workflows: AWS (SageMaker, EC2, S3), Containerization, Azure Knowledge of Zero Trust principles and security policies Expert level PowerBI and Power Automate preferred
Final salary determination based on skill-set, qualifications, and approved funding.
Many of our jobs come with great benefits - Some offerings are dependent upon the role, work schedule, or location, and may include the following:
Paid Time Off
PTO / Vacation - 5.67 hours accrued per pay period / 136 hours accrued annually
Paid Holidays - 11
California residents receive an additional 24 hours of sick leave a year
Health & Wellness
Medical
Dental
Vision
Prescription
Employee Assistance Program
Short- & Long-Term Disability
Life and AD&D Insurance
Spending Account
Flexible Spending Account
Health Savings Account
Health Reimbursement Account
Dependent Care Spending Account
Commuter Benefits
Retirement
401k / 401a
Voluntary Benefits
Hospital Indemnity
Critical Illness
Accident Insurance
Pet Insurance
Legal Insurance
ID Theft Protection
Teleworking Permitted?
Yes
Teleworking Details
Must reside in the Washington D.C. area, onsite work with some telework
Estimated Salary/Wage
USD $185,000.00/Yr. Up to USD $200,000.00/Yr. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Defense & Space Referrals increase your chances of interviewing at Chenega Professional Services Strategic Business Unit by 2x Get notified about new Senior Services Engineer jobs in
Washington, DC . Senior Systems Engineering & Program Management Advisor
Springfield, VA $146,000.00-$234,000.00 2 weeks ago Annapolis Junction, MD $176,000.00-$282,000.00 2 weeks ago Annapolis Junction, MD $190,000.00-$304,000.00 1 week ago Laurel, MD $190,000.00-$304,000.00 1 week ago Annapolis Junction, MD $190,000.00-$304,000.00 1 week ago Operations Engineering Advisor - Enterprise Technology Operations
Reston, VA $152,000.00-$205,000.00 1 week ago Laurel, MD $190,000.00-$304,000.00 2 weeks ago Annapolis Junction, MD $190,000.00-$304,000.00 2 weeks ago McLean, VA $94,500.00-$167,900.00 2 weeks ago Senior ISR & Systems Engineering Advisor
Systems Engineering Technology Governance Advisor
McLean, VA $146,000.00-$234,000.00 2 weeks ago Delivery Consultant - Cloud Infrastructure, Professional Services, Cloud Platform and Migrations
Arlington, VA $118,200.00-$204,300.00 1 week ago Delivery Consultant - Cloud Infrastructure, Cloud Platform and Migrations, AWS Professional Services
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Annapolis Junction, MD $190,000.00-$304,000.00 5 days ago Systems Engineering Technology Governance Advisor
Chantilly, VA $146,000.00-$234,000.00 2 weeks ago Systems Engineering Technology Governance Advisor
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Arlington, VA $118,200.00-$204,300.00 2 weeks ago Identity and Directory Services Engineer - TS/SCI with Polygraph
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Lorton, VA $126,100.00-$227,950.00 2 months ago Cyber Systems Engineering, Senior Advisor
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#J-18808-Ljbffr