Overview
- 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:
- 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
- Expert level PowerBI and Power Automate preferred
- Knowledge of Zero Trust principles and security policies
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.
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