AI Engineering Manager (Remote)

Antal International Network; United States; Remote; Confidential; Full time

Job summary

A leading mid-sized firm specializing in AI-driven solutions is seeking to hire an AI Engineering Manager. This role involves leading a dynamic team of AI/ML engineers to ensure the successful development and deployment of AI products that meet business objectives. Candidates should have substantial experience in AI management, a strong technical foundation, and excellent communication skills.

Qualifications

• 10 to 15 years of experience in AI/ML.
• Strong leadership in AI team management.
• Experience in delivering AI solutions remotely.

Responsibilities

• Lead and mentor a cross-functional team of AI engineers.
• Oversee the development of AI products.
• Collaborate with stakeholders to align solutions with business needs.

Skills

AI/ML lifecycle management

Machine learning

Software engineering

MLOps tools

AWS

GCP

Azure

Communication

Stakeholder management

Education

B.Tech/M.Tech/M.S. in Computer Science

Tools

MLflow

Kubernetes

Docker

Job description

Experience: 10 to 15 years
Location: Remote
Notice Period: Immediate to 30 days preferred
Client: Leading mid-sized firm specializing in AI-driven solutions

Overview:

We are looking for an AI Engineering Manager to lead a dynamic team of AI/ML engineers in building and deploying production-grade AI systems. The ideal candidate will combine technical prowess with strategic insight, ensuring the delivery of AI products that align with business objectives.

Key Responsibilities:

Lead and mentor a cross-functional team of AI engineers and developers.

Oversee the end-to-end development of AI products, from conception to deployment.

Collaborate with stakeholders to align AI solutions with business needs.

Ensure scalability, security, and performance of AI systems.

Foster a culture of innovation and continuous improvement within the team.

Key Skills Required:

Extensive experience in AI/ML lifecycle management.

Strong background in machine learning or software engineering.

Familiarity with MLOps tools (e.g., MLflow, Kubernetes, Docker).

Proficiency in cloud platforms like AWS, GCP, or Azure.

Excellent communication and stakeholder management skills.

Preferred Qualifications:

B.Tech/M.Tech/M.S. in Computer Science or related field.

Experience leading AI teams in startups or digital transformation initiatives.

Proven track record of delivering AI solutions in a remote environment.

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