AI/ML Engineering Manager

Job Title

AI/ML Engineering Manager

Job Description

AI/ML Engineering Manager Job Description

The AI/ML Engineering Manager is a technical leadership role responsible for overseeing the development and implementation of artificial intelligence (AI) and machine learning (ML) solutions. The primary goal of this role is to lead a team of engineers and researchers in designing, building, and deploying AI/ML models and systems that drive business value.

Key Responsibilities:

1. Technical Leadership: Provide technical guidance and oversight to a team of AI/ML engineers and researchers, ensuring the development of high-quality AI/ML models and systems.
2. Strategy and Planning: Collaborate with cross-functional teams to develop and implement AI/ML strategies that align with business objectives.
3. Model Development: Oversee the design, development, and deployment of AI/ML models, including data preprocessing, feature engineering, model training, and model evaluation.
4. Data Management: Ensure the quality, integrity, and security of data used for AI/ML model development and deployment.
5. Engineering and Operations: Collaborate with engineering teams to ensure seamless integration of AI/ML models with existing systems and infrastructure.
6. Research and Development: Stay up-to-date with the latest advancements in AI/ML and identify opportunities to apply new techniques and technologies to drive business value.
7. Talent Development: Mentor and develop the skills of AI/ML engineers and researchers, ensuring the team has the necessary expertise to deliver high-quality AI/ML solutions.
8. Communication: Effectively communicate technical concepts and results to both technical and non-technical stakeholders, including business leaders and customers.

Technical Skills:

1. Programming languages: Python, Java, C , etc.
2. AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
3. Data management: Data warehousing, data governance, data quality, etc.
4. Cloud platforms: AWS, Azure, Google Cloud, etc.
5. Containerization: Docker, Kubernetes, etc.
6. Agile methodologies: Scrum, Kanban, etc.

Soft Skills:

1. Leadership: Proven experience leading technical teams and mentoring engineers.
2. Communication: Excellent communication and presentation skills.
3. Collaboration: Ability to work effectively with cross-functional teams.
4. Problem-solving: Strong problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions.
5. Adaptability: Ability to adapt to changing priorities and technical requirements.

Education and Experience:

1. Bachelor's degree: Computer Science, Mathematics, Statistics, or related field.
2. Master's degree or Ph.D.: Preferred, but not required.
3. 5 years of experience: AI/ML engineering, software development, or related field.

3 years of experience: Technical leadership or management role.

Job Requirements

• Bachelor’s Degree in Computer Science or a related technical discipline, or the equivalent combination of education, professional training or work experience (6 years)
• 8 years of IT experience is required
• CISSP Required
• 5 Years Cybersecurity experience (hands on)
• Experience in AI/ML development and design
• 6 years of Python coding experience
• Hands on experience with Linux, Dockers
• Experience/ working knowledge of AWS, Google, Azure  clouds
• Well versed in the NIST RMF and associated standards
• Extensive knowledge of Xacta® Risk Management Solution

Job Type

Full-Time

Location

Ashburn, VA 20147 US (Primary)

Telos offers an excellent compensation packages including salary commensurate with experience and benefits to meet your needs for today and the future. Telos and its subsidiaries are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.