Technical Project Manager - AI / ML Expertise - HYBRID

NTT DATA North America; Irving (TX); Hybrid; USD 110,000 - 140,000; Full time

Job summary

A leading technology company is seeking a Technical Project Manager - AI / ML Expertise to join their team in Irving, Texas. This hybrid role requires 7+ years of experience in Technical Program Management, particularly with AI/ML components. The ideal candidate will lead complex technology projects, drive decisions regarding ML model development and deployment, and mentor other project managers. A bachelor's degree in a related field and hands-on experience with ML products are essential for this position.

Qualifications

• 7+ years of experience applying AI to practical uses.
• Experience in Technical Program Management specifically managing AI/ML components.
• Hands-on experience with ML-based products including metrics-driven evaluation.

Responsibilities

• Lead programs consisting of complex technology projects with an emphasis on AI/ML.
• Work with teams on functional design and testing of AI/ML solutions.
• Drive decisions to maximize hitting critical timelines for ML projects.

Skills

AI application

Technical Program Management

ML-based product evaluation

ADAS systems experience

ML development in resource-constrained environments

Education

Bachelor’s degree in computer science, Data Science, Engineering

Certification on Data Architect/Data Science

Job description

Req ID: 365544
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Technical Project Manager - AI / ML Expertise - HYBRID to join our team in Irving, Texas (US-TX), United States (US).

Day to Day Responsibilities

• Lead programs consisting of complex technology projects, particularly ones that intersect with hardware, software, and regulatory constraints, with a strong emphasis on AI/ML model development, training, evaluation, and deployment pipelines.
• Exercise strong ownership over programs they lead, including briefing Autonomy leadership on execution and diving into technical details where necessary to unblock the team, especially regarding ML model performance, data requirements, and training infrastructure.
• Drive pragmatic decisions and tradeoffs to maximize probability of hitting critical timelines, considering factors unique to ML projects such as model iteration speed, data annotation pipelines, and compute resource allocation.
• Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions.
• Advise leaders on technology, strategy, and policy issues related to AI/ML.
• Manage ambiguity by presenting options with a clear point of view for leadership, particularly concerning ML model readiness, evaluation metrics, and performance trade-offs.
• Understand the role of TPM as an insider/outsider, someone who drives accountability through influence and soft power rather than hard power and authority, effectively influencing teams working on ML algorithms, data platforms, and simulation environments.
• Mentor other TPMs on the team and help them grow their craft as TPMs, sharing expertise in managing ML-centric technical programs.

Minimum Requirements

• 7+ years of experience applying AI to practical uses.
• 7+ years of Experience in Technical Program Management on deep-tech products or equivalent, specifically managing programs involving AI/ML components and data pipelines.
• 7+ years of Hands on experience with ML-based products including evaluation with metrics driven analysis.
• 7+ years of Experience with ADAS systems, Robotaxis, and/or Robotics, particularly involving the integration and management of complex AI/ML models.
• 7+ years of ML development in resource-constrained environments, demonstrating an understanding of the practical challenges of deploying ML on automotive-grade hardware.

Preferred Skills

• Strong interpersonal skills and ability to effectively communicate to external partner organizations to drive shared outcomes for Rivian, especially when collaborating on data sharing, model deployment, or platform integration related to AI/ML.
• Enjoys prototyping random side projects in spare time, ideally related to AI/ML or robotics.
• Strong analytical and problem-solving skills.

Education

• Bachelor’s degree in computer science, Data Science, Engineering, or equivalent experience, with a strong foundation in areas relevant to AI/ML.
• Certification/ course on Data Architect/Data Science from any reputed institute/ portal.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.