Technical Project Manager - AI / ML Expertise Job at NTT DATA (Irving)

Technical Project Manager - AI / ML Expertise

The Technical Project Manager will lead complex technology projects with a focus...

Location

United States , Tampa

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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
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

Job Responsibility

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

AI Technical Product Manager

Lead development and implementation of complex information technology projects t...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Knowledge of Microsoft Office Suite, advanced Excel skills
Knowledge of information technology applications, processes, software and equipment
Highly specialized knowledge of a specific technology
Knowledge of advanced IT project management principles (e.g. Agile) and software
Demonstrated cross-functional project management experience
Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor
Attitude that supports an Agile working environment
Master's degree in Computer Science, Engineering, Data Science, or related technical field
Experience with large language models, prompt engineering, or RAG systems

Job Responsibility

Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed
May manage a number of projects simultaneously
Bridge the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding to build AI-powered solutions that deliver measurable value
Balance innovation with practical implementation, assessing technical feasibility and business impact
Establish success metrics and KPIs for AI product initiatives
Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
Understand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerations
Make informed decisions about model selection, data requirements, and infrastructure needs
Evaluate emerging AI technologies and determine their applicability to product challenges and understand risk mitigation strategies
Partner with engineering teams to prioritize features and manage the development lifecycle

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Technical Architect - AI ML

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and...

Location

India

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects
a Ph.D. is highly desirable
Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration)
Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning
Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines)
Familiarity with APIs, microservices, and containerization (Docker, Kubernetes)
Experience in Data Governance, Model Risk Management, and compliance
Extensive knowledge of machine learning theory, algorithms, and methodologies
Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization

Job Responsibility

Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps
Serve as a strategic technical advisor to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value
Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI)
Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama
Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar)
Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
Evaluate build-vs-buy decisions and benchmark AI tools/platforms
Evaluate emerging technologies and trends in AI, ML, Gen AI space and recommend adoption strategies
Mentor technical teams and guide solution architects, data engineers, and ML engineers
Ensure ethical and responsible AI practices including bias detection, interpretability, and governance

What we offer

Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach
You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams
We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best
Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries
We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally

Fulltime

Senior Manager, Data Science and AI Technical Product Owner

Do you want to make a global impact on patient health? Do you thrive in a fast-p...

Location

Mexico; Costa Rica , Mexico City; San Jose

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
2-3 years of hands-on product management experience
2+ years of hands-on software development experience, preferably in a cloud environment such as AWS
Track record of managing cross-functional stakeholder groups and effecting change
Clearly articulates expectations, capabilities, and action plans
actively listens with others’ frame of reference in mind
appropriately shares information with team
favorably influences people without direct authority
Clearly articulates scope and deliverables of projects

Job Responsibility

Partner with other leaders to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development
Communicate value delivered through industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and TAs
Partner with Commercial Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate
Partner with Platforms team on continuous development and end to end capability integration between OOB platforms and internal engineered components (API registry, ML library / workflow management, enterprise connectors, AI reusable components)
Performance and resource optimization of managed pipelines and models
Lead the advancement of at scale “industrialized” AI and data science capabilities and industrialized asset products
Own vision and maintain a holistic and consistent roadmap for data science and AI products, including data science workflows, AI based software solutions, and AI components
Provide the voice of the user as the product owner on agile product development teams to maximize value and impact of industrialized data science and AI products
Drive adoption of products through user community engagement (e.g., roadshows, training sessions, knowledge sharing etc.)
Develop and maintain business-facing assets documentation/communication for data science and AI products (e.g., value proposition, catalog, and adoption metrics)

Fulltime

Senior Manager, AI Infrastructure and Operations

The Sr. Manager/Staff Engineer, AI Infrastructure & MLOps Engineering is a senio...

Location

Japan , Tokyo

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

8+ years of hands-on software engineering experience in cloud infrastructure, DevOps, and MLOps
Deep expertise in Python, Kubernetes, Terraform, Helm, and CI/CD pipeline development
Proven experience architecting and operating containerized solutions on AWS, GCP, and Azure
Strong knowledge of Infrastructure-as-Code, distributed systems, and production system reliability
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Job Responsibility

Design, implement, and own large-scale cloud-based HPC and MLOps platforms supporting AI model training, genomic sequencing, and precision medicine
Architect multi-environment clusters (AWS, GCP, Azure), enabling GPU/FPGA workloads and advanced observability
Lead the development of developer and cloud platforms, including internal engineering accelerators and reusable toolsets
Design, implement, and manage unified platform catalogs using Backstage, enhancing developer experience and application metadata management
Develop custom plugins and APIs for Backstage to support internal engineering workflows and documentation
Build and maintain Python-based automation frameworks, CI/CD pipelines, and Infrastructure-as-Code (Terraform, Helm, Pulumi, AWS CDK)
Operationalize containerized solutions using Docker and Kubernetes, integrating MLflow, Kubeflow, and other orchestration platforms
Implement robust automation for provisioning, configuring, and managing cloud resources across multiple environments
Lead the implementation of Service Level Indicators (SLIs), Service Level Objectives (SLOs), and advanced observability (Prometheus, Grafana, PagerDuty)
Develop and maintain APIs and services for model management, feature stores, and inference pipelines

Fulltime

Technical Program Manager (Computer Vision), Public Sector

Scale AI is at the forefront of the AI revolution, helping the U.S. government u...

Location

United States , Washington, DC

Salary:

166400.00 - 249000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

An active TS/SCI clearance
3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions
A deep understanding of ML operations process
A track record of structured, analytics-driven problem solving
Excellent verbal and written communication skills
Willingness to be onsite with customers up to 4 days per week in the DMV area and / or prepared to travel a minimum of 25%

Job Responsibility

Manage customer relationships from the executive to the end user
Work alongside customers to scope computer vision use cases that Scale’s engineering team will build and you will ultimately refine
Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives
Lead with a 'whatever-it-takes' mentality, proactively identifying customer needs and operator pain points to ensure customer success
Learn technical concepts and tools to necessary depth, leveraging that expertise to create solutions from scratch or drastically improve existing solutions
Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain

What we offer

Equity
comprehensive health, dental and vision coverage
retirement benefits
learning and development stipend
generous PTO
commuter stipend

Fulltime

Technical Program Manager, Platform

As a Technical Program Manager for the Platform team, you will partner with engi...

Location

United States , San Francisco, CA; New York, NY

Salary:

211200.00 - 264000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer, with a proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms)
Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems
AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups
Masterful Communication: Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical/architectural challenges into clear business impacts
Execution Excellence: Advanced proficiency with iterative development methodologies and modern project management tooling (Linear, Jira, etc.) applied to foundational infrastructure environments.

Job Responsibility

Lifecycle & Platform Delivery: Lead strategic planning and high-velocity execution for SGP core capabilities (orchestration layers, model serving, APIs). Manage features from technical scoping and architecture design through production launch
Cross-Functional GenAI Alignment: Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency
Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features
Risk & Dependency Mitigation: Proactively identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global SGP deployments, maintaining momentum despite fast-evolving AI frameworks
Developer Velocity & Operational Excellence: Establish lightweight agile processes that empower engineers to ship fast without breaking core systems. Define and enforce clear SLOs and performance benchmarks to guarantee production-grade reliability for clients
Metrics-Driven Adoption: Track and report on SGP adoption metrics, system reliability, delivery forecasts, and engineering bottlenecks directly to executive leadership to ensure the platform scales responsibly.

What we offer

comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend

Fulltime

Engineering Manager – Fullstack & AI Engineering

We are looking for an Engineering Manager – AI Engineering who combines people l...

Location

India

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

8–14+ years of engineering experience with 2–5+ years in team/people management
Strong hands-on programming expertise in Node.js
Strong hands-on programming expertise in Python
Strong hands-on programming expertise in React.js
Strong hands-on programming expertise in Angular
Experience delivering AI-enabled applications, generative AI features, or ML integrated systems
Solid understanding of microservices, distributed systems, API design, and cloud platforms (AWS/Azure/GCP)
Proven ability to lead engineering teams and deliver complex projects end-to-end

Job Responsibility

AI Engineering Leadership
Hands-On Technical Contribution
Delivery & Execution
People Leadership
Architecture & Technical Direction
Cross-Functional Collaboration

Fulltime

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Technical Project Manager - AI / ML Expertise

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