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

Technical Project Management Advisor

Our Regulatory Engineering team thrives on the challenge of operating in a compl...

Location

Singapore , Singapore

Salary:

Not provided

Dell

Expiration Date

Until further notice

Requirements

Requires 5+ years of related experience with a Bachelor Degree
Knowledge on compliance, especially in Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs is a plus
Applies broad expertise and knowledge in highly specialized fields or several related disciplines
Leads and contributes to development of company objectives and principles to achieve goals in creative and effective ways
Works on significant and unique issues where analysis of situations or data requires an evaluation of intangibles
Requires conceptual thinking to understand advanced issues and implications
Assesses unusual circumstances and uses sophisticated analytical and problem-solving techniques to identify cause
Devises solutions based on limited information and precedent and adapts existing approaches to resolve issues
Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results
Accountable for results, which may impact the entire function

Job Responsibility

Manages projects, or specific activities related to projects within given constraints of scope, schedule, budget, and quality through the duration of the project
Allocates work among team members and provides guidance on a regular basis
Conducts periodic reviews to ensure project is on track and conducts post-project reviews
Ensures all project documentation is kept up to date and communicated to the relevant stakeholders on a timely basis
Utilizes relevant project management tools, systems, and applications
Work closely with the team’s Scrum Master, AI ML engineers, Product Compliance Engineers, global Agency Relations Managers, Corporate IT teams and etc on projects deliverables and schedules
Defines supporting and driving process improvements

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Senior Principal Technical Program Manager - ML Platform

Location

Salary:

231300.00 - 301975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience on software teams as Development Manager, Technical Product Manager or TPM leading technical platforms areas
Deep domain experience in AI and/or Search. Example: Model Inference, Model Evaluation, Model Training, LLM Ops, Semantic Search, Search Relevance, etc.
Partner with Engineering in defining direction, strategy and execution at Platform level
Strategic thinking and ability to understand business objectives to translate them into technical problems and programs.
Technical understanding of systems involved. Willingness to develop domain expertise in the area they operate - storage, networking, authentication, capacity management, service deployments, etc.
TPMs are not expected to write or read code, but are expected to understand system flows, block architectures, APIs and such.
Experience defining and running end-to-end complex technical programs
Strong leadership, organizational, and communication skills

Job Responsibility

Understand and stay up-to-date on latest innovations in AI and Search. Partner closely with engineering teams to translate these into practical platform evolution for Atlassian bringing value to our customers.
Analyze business objectives, customer needs, product adoption inhibitors and opportunities, industry trends, and based on these, in close collaboration with your stakeholders, define a long-term strategy and roadmap for your platform and product components.
Understand business objectives and translate them into technical systems problems that need to be prioritized solved in the current business environment.
Define specific systems programs and create a plan of action for realizing those programs. Such programs could be around capacity planning, migration efforts, high availability, network architecture, performance optimization, reliability improvements and more.
Use your technical understanding of Atlassian and related systems to partner with and influence engineers and architects in making progress on these problems.
Responsible for taking a systematic approach to engineering problems. This includes: prioritizing tasks, scoping out the project, defining objectives, and making consistent progress against each of these.
Be accountable for the success of these technical programs by managing the entire lifecycle from initiation to forecasting, budgeting, scheduling, etc.
Manage complex dependencies and projects with a broad scope across the company

What we offer

health and wellbeing resources
paid volunteer days

Principle Product Manager, AI infrastructure

We are seeking an experienced Product Manager to bring our Private Cloud AI prod...

Location

United States

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree or equivalent in computer science, engineering or related field of study
MBA or advanced degree in computer science or engineering preferred
10+ years of work experience in AI/ML platform infrastructure and tools
Technical understanding and knowledge of the AI/ML tooling and infrastructure industry
10+ years of product management experience in B2B SaaS, with a focus on AI/ML and data infrastructure
Demonstrate strong technical acumen across enterprise AI and data workflows
Expertise in AI and ML hardware, ecosystem, and software a plus
Experience motivating others at all levels by creating a shared sense of vision and purpose
Extensive team skills and ability to cross functionally drive/influence work through others, ability to mentor and lead teams to achieve results for complex, ambiguous projects
Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones

Job Responsibility

Define and execute a product strategy to unlock AI opportunities across the world’s largest organizations
Independently leads and drives the end to end strategy and operational product roadmap for one or more complex products or a product portfolio
Builds and delivers the value proposition, target customer segments, and business case to bring innovative and disruptive products to market for a product portfolio with respect to the whole company product portfolio
Synthesizes market requirements (MRD) into marketing/customer details through having intimate customer knowledge and business, financial and industry market acumen
Guides key stakeholders on the portfolio strategy across all phases of the lifecycle
Creates and drives goal alignment and collaborates across one or more products' value chain partners to optimize margins and enable success of products per plans across the product lifecycle

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI ML Architect

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

Location

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 Product Manager - AI

We are seeking an experienced Senior Product Manager to join our Product team in...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in engineering or business management from top universities
6+ years of overall experience in software product management in SaaS or data/platform product companies
At least 4+ years of direct & hands-on PM experience
Experience building enterprise-grade B2B software products, ideally with notable technical data complexity and a focus on AI/ML applications
Proven experience working with AI technologies, including LLMs or ML models, to create products
At least one experience in building out agents or similar agentic / automation pipelines
A natural curiosity to continuously evolve with AI developments within the industry
Experience working with globally distributed teams in multiple timezone environments
Strong expertise with internal tools and systems in a medium to large enterprise and building complex systems around automation
Demonstrated experience aligning and influencing cross-functional teams and diverse stakeholders

Job Responsibility

Create and own the product roadmap for the AI Data Pipeline squad aligning to the overall business and product strategy that helps build and scale Arcadia’s energy data and AI products
Define, prioritize, and build product initiatives and features that improve the scale, quality, and reliability of the data systems, tools, and applications
Lead the AI Data Pipeline product squad to tackle utility data acquisition, extraction and enrichment challenges faced by internal teams
Champion (and model) AI tool usage (e.g., Gemini, Cursor) to drive productivity improvements both in product management and with your engineering team
Work with data science and other AI team members to design agentic features, prompts, and pipelines (e.g., RAG, MCPs)
Drive technical learning and innovation by self-learning new technology stacks (AI, Snowflake, etc.) and working with engineering to rapidly build and prototype solutions
Write clear and detailed product requirements that can be easily understood by technical and non-technical audiences
Collaborate cross-functionally with peers in Engineering, Operations, and Data Science to deliver products on time
Constantly monitor and update on the progress of the initiatives to all the relevant stakeholders and the leadership team
Balance long-term bets with short-term improvements, optimizing for speed of learning and time to impact

What we offer

Competitive compensation based on market standards
Flexible Leave Policy
Office located in the heart of the city in case you need to step in for any purpose
Medical Insurance (1+5 Family Members)
Flexible Benefit Plan
Awards and Bonus
Annual performance cycle
Quarterly engagement activities
A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency

Fulltime

AI ML Engineer

We seeking a talented ML/AI Engineer to join our innovative team and drive the d...

Location

India , hyderabad

Salary:

Not provided

Genzeon

Expiration Date

Until further notice

Requirements

Strong experience in building ML models with proven track record of successful deployments
Extensive experience in Generative AI including LLMs, diffusion models, and related technologies
Experience in Agentic AI and understanding of autonomous agent architectures
Proficiency with Model Control Protocol (MCP) for agent communication and control
Advanced Python programming with expertise in ML libraries (scikit-learn, TensorFlow, PyTorch, etc.)
Google Cloud Platform (GCP) experience with ML-focused services
Vertex AI hands-on experience for model lifecycle management
AutoML experience for automated machine learning workflows
Model Armour or similar model security and protection frameworks
3+ years of experience in machine learning engineering or related field

Job Responsibility

Design, develop, and deploy robust machine learning models for various business applications
Build and optimize generative AI solutions using latest frameworks and techniques
Implement agentic AI systems that can autonomously perform complex tasks
Develop and maintain ML pipelines from data ingestion to model deployment
Leverage Google Cloud Platform (GCP) services for scalable ML infrastructure
Utilize Vertex AI for model training, deployment, and management
Implement AutoML solutions for rapid prototyping and model development
Ensure model security and compliance using Model Armour and related tools
Write clean, efficient Python code for ML applications and data processing
Optimize model performance, accuracy, and computational efficiency

AI ML Engineer

We seeking a talented ML/AI Engineer to join our innovative team and drive the d...

Location

India , hyderabad

Salary:

Not provided

Genzeon

Expiration Date

Until further notice

Requirements

Strong experience in building ML models with proven track record of successful deployments
Extensive experience in Generative AI including LLMs, diffusion models, and related technologies
Experience in Agentic AI and understanding of autonomous agent architectures
Proficiency with Model Control Protocol (MCP) for agent communication and control
Advanced Python programming with expertise in ML libraries (scikit-learn, TensorFlow, PyTorch, etc.)
Google Cloud Platform (GCP) experience with ML-focused services
Vertex AI hands-on experience for model lifecycle management
AutoML experience for automated machine learning workflows
Model Armour or similar model security and protection frameworks
3+ years of experience in machine learning engineering or related field

Job Responsibility

Design, develop, and deploy robust machine learning models for various business applications
Build and optimize generative AI solutions using latest frameworks and techniques
Implement agentic AI systems that can autonomously perform complex tasks
Develop and maintain ML pipelines from data ingestion to model deployment
Leverage Google Cloud Platform (GCP) services for scalable ML infrastructure
Utilize Vertex AI for model training, deployment, and management
Implement AutoML solutions for rapid prototyping and model development
Ensure model security and compliance using Model Armour and related tools
Write clean, efficient Python code for ML applications and data processing
Optimize model performance, accuracy, and computational efficiency

Engineering Manager - Machine Learning Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

241200.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8–10 years of experience in ML infrastructure, including direct hands-on expertise as an engineer, IC/TL
2+ years of experience managing infrastructure or ML platform engineers
Proven experience delivering and operating ML or AI infrastructure at scale
Solid technical depth across ML/AI infrastructure domains (e.g., feature stores, pipelines, deployment, inference, observability)
Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders
Strong communication and stakeholder management skills

Job Responsibility

Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments
Build and launch Plaid’s next-generation feature store to improve reliability and velocity of model development
Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines, deployment tooling, and inference systems
Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration
Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Technical Project Manager - AI / ML Expertise

NTT DATA

Location:
United States , Tampa

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 16, 2026

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