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

• 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.
• Strategy and Planning : Collaborate with cross-functional teams to develop and implement AI/ML strategies that align with business objectives.
• Model Development : Oversee the design, development, and deployment of AI/ML models, including data preprocessing, feature engineering, model training, and model evaluation.
• Data Management : Ensure the quality, integrity, and security of data used for AI/ML model development and deployment.
• Engineering and Operations : Collaborate with engineering teams to ensure seamless integration of AI/ML models with existing systems and infrastructure.
• 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.
• 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.
• Communication : Effectively communicate technical concepts and results to both technical and non-technical stakeholders, including business leaders and customers.
  
  

Technical Skills

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

Soft Skills

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

Education And Experience

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

3+ years of experience : Technical leadership or management role .

• 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