CrawlJobs Logo

Manager, AI/ML

https://www.t-mobile.com Logo

T-Mobile

Location Icon

Location:
United States , Bellevue

Category Icon

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

Not provided

Job Description:

The Manager, AI/ML oversees the strategic implementation and operational management of artificial intelligence and machine learning projects. This role guides multi-functional teams and ensures the effective integration of AI/ML models into business operations. Responsibilities include coordination of AI/ML workflows, performance improvement, and fostering innovation within the organization.

Job Responsibility:

  • Lead and manage AI and ML operations, ensuring alignment with organizational goals and objectives
  • collaborate with data scientists, data engineers, and UI developers to design, develop, and deploy AI/ML models and solutions
  • manage and evaluate the performance of AI/ML systems, making recommendations for improvements and optimizations
  • develop and implement operational strategies, policies, and best practices for AI/ML workflows
  • lead project timelines, budgets, and resources to ensure successful delivery of AI/ML initiatives

Requirements:

  • Bachelor's Degree in Data Science, Computer Science/Engineering, or Information Technology
  • 2-4 years of proven experience leading highly effective teams in an AI/ML operations environment
  • 4-7 years of experience managing complex CI/CD pipelines, governing ML models, version tracking, maintaining data lineage, and applying best practices
  • solid understanding of AI and ML concepts, frameworks, and methodologies coupled with a deep understanding of cloud platforms and services (e.g., Azure, Google Cloud, AWS)
  • proficiency in programming languages such as Python, R, or Java and experience with AI/ML libraries like Pyspark, TensorFlow, PyTorch, Scikit-learn
  • experience with data management and analysis tools, including SQL and data visualization software
  • excellent project management skills with a proven track record of successfully handling multiple projects
  • strong analytical and problem-solving skills
  • exceptional communication and social skills
  • Certified Artificial Intelligence Practitioner (CAIP), AWS Certified Machine Learning Specialty, and PMP certification (preferred)

Nice to have:

  • Certified Artificial Intelligence Practitioner (CAIP)
  • AWS Certified Machine Learning Specialty
  • PMP certification
What we offer:
  • Competitive base salary and compensation package
  • annual stock grant
  • employee stock purchase plan
  • 401(k)
  • access to free, year-round money coaches
  • medical, dental, and vision insurance
  • flexible spending account
  • paid time off and up to 12 paid holidays
  • paid parental and family leave
  • family building benefits
  • child-care subsidy
  • tuition assistance
  • short- and long-term disability
  • voluntary AD&D coverage
  • mobile service and home internet discounts
  • pet insurance
  • access to commuter and transit programs

Additional Information:

Job Posted:
April 05, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Manager, AI/ML

Product Manager - AI/ML

We are seeking an experienced Technical Product Manager – AI/ML to lead the defi...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
evoluteiq.com Logo
EvoluteIQ
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of overall experience
  • Several years in technical/engineering roles (software development, data engineering, or AI/ML)
  • 7+ years in product management
  • Strong understanding of Predictive AI/ML (classification, regression, anomaly detection)
  • Expertise in Natural Language Processing (LLMs, embeddings, conversational AI, text analytics)
  • Experience with Time Series Modeling (forecasting, demand planning, anomaly detection)
  • Knowledge of Generative AI (LLM-based copilots, text-to-X products, prompt engineering, RAG pipelines)
  • Hands-on familiarity with Python/Java, ML frameworks (TensorFlow, PyTorch), and cloud services (AWS, Azure, GCP)
  • Proven track record in building enterprise SaaS products and leading technical product discussions
  • Excellent communication and stakeholder management skills
Job Responsibility
Job Responsibility
  • Define and own the product roadmap for AI/ML features across predictive, NLP, time series, and generative AI domains
  • Align AI product strategy with overall platform vision, market trends, and customer needs
  • Identify opportunities for embedding AI capabilities into low-code/no-code workflows
  • Participate in technical design reviews with engineering and data science teams
  • Define API contracts, integration patterns, and deployment considerations for AI/ML features
  • Ensure product features are technically feasible, scalable, and aligned with enterprise architecture principles
  • Act as a bridge between technical and non-technical stakeholders, ensuring clarity of vision and execution
  • Collaborate with engineering, data science, and design teams to deliver scalable AI features
  • Define clear product specifications, use cases, and success metrics
  • Ensure compliance with security, data governance, and responsible AI principles
What we offer
What we offer
  • Opportunity to shape the strategy of a next-gen hyper-automation platform
  • Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
  • Competitive compensation and growth opportunities
  • A culture of innovation, ownership, and continuous learning
  • Fulltime
Read More
Arrow Right

Senior Engineer Manager - AI/ML

Senior Engineer Manager role in AI/ML at Hewlett Packard Enterprise, focusing on...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
  • 7-15 years' experience including 5 or more years of people management experience
  • Advanced Degree (Master's or Ph.D.) strongly preferred
  • Strong problem-solving and analytical skills
  • Excellent communication and presentation skills
  • Proven ability to manage multiple projects and priorities in a fast-paced environment
  • Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
  • Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
  • Strong technical expertise in AI and machine learning algorithms, models, and tools
  • Proficiency in programming languages such as Python or R
Job Responsibility
Job Responsibility
  • Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data
  • Uses machine learning and statistical modeling techniques to improve product/system performance
  • Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms
  • Applies, optimizes and scales deep learning technologies and algorithms
  • Documents procedures for installation and maintenance
  • Contributes to translating customer requirements into AI/ML products and solutions
  • Develops and drives the organization's AI and machine learning strategy
  • Leads and manages a team of AI and machine learning professionals
  • Oversees complex AI and machine learning projects from conception to deployment
  • Provides technical leadership and guidance to the team
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Comprehensive benefits suite supporting physical, financial and emotional wellbeing
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager - AI/ML

Hewlett Packard Enterprise is looking for a Senior Engineering Manager - AI/ML t...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
  • 7-15 years’ experience including 5 or more years of people management experience
  • Advanced Degree (Master’s or Ph.D.) strongly preferred
  • Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively
  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders
  • Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results
  • Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
  • Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
  • Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R
  • Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.
Job Responsibility
Job Responsibility
  • Develop software algorithms to structure, analyze and leverage structured and unstructured data
  • Use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy
  • Apply, optimize, and scale deep learning technologies and algorithms
  • Document procedures for installation and maintenance
  • Perform testing and debugging
  • Define and monitor performance metrics
  • Translate customer requirements and industry trends into AI/ML products and systems improvements
  • Develop and drive the organization’s AI and machine learning strategy
  • Identify new opportunities for AI and machine learning applications
  • Oversee complex AI and machine learning projects from conception to deployment
What we offer
What we offer
  • Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
  • Personal and professional development programs
  • Career growth opportunities
  • Inclusive work environment.
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager- AI/ML

As the Senior Engineering Manager, you will lead by being a highly technical lea...
Location
Location
United States
Salary
Salary:
Not provided
aledade.com Logo
Aledade, Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS/BTech (or higher) in Computer Science, Engineering or a related field required
  • 10+ years of production-level experience as an engineer and technical lead building highly scalable and reliable software
  • 5+ years of managerial experience building and leading technical engineering teams
  • 7+ years of experience in machine learning related technologies, with a strong preference for Python
  • Extensive experience in designing and implementing secure, scalable, and maintainable AI/ML platform architectures
  • Proficiency in distributed systems, microservices, containerization technologies (e.g., Docker, Kubernetes), model training infrastructure, orchestration tools, and MLOps principles
  • Sitting for prolonged periods of time
  • Extensive use of computers and keyboard
  • Occasional walking and lifting may be required
Job Responsibility
Job Responsibility
  • Build a high performing team by hiring and nurturing engineering talent
  • Strong technical leadership - drive technical solutioning and building roadmaps
  • Set aggressive and clear goals and remove all roadblocks for the team to achieve them
  • Working seamlessly and collaboratively with stakeholders across Aledade to achieve business outcomes
  • Work closely with engineering leaders to drive engineering excellence in our processes and systems
  • Fulltime
Read More
Arrow Right

Senior Manager, Performance AI/ML Network Deployment Engineering

The Senior Manager, DC GPU Advanced Forward Deployment and Systems Engineering i...
Location
Location
United States , Santa Clara
Salary
Salary:
210400.00 - 315600.00 USD / Year
amd.com Logo
AMD
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expertise in networking and performance optimization for large-scale AI/ML networks, including network, compute, storage cluster design, modelling, analytics, performance tuning, convergence, scalability improvements
  • Prefer candidates with solid, hands-on expertise in at least one or more of 3 domains, namely compute, network, storage
  • Experience in working with large customers such as Cloud Service Providers and global enterprise customers
  • Proven leadership in engaging customers with diverse technical disciplines in avenues such as Proof of Concept, Competitive evaluations, Early Field Trials etc
  • Direct experience in working with large customers and can operate with sense of urgency, own the problems and resolve it
  • Demonstrated leadership in network architecture, hands on experience in RoCEv2 Design, VXLAN-EVPN, BGP, and Lossless Fabrics
  • Proven ability to influence design and technology roadmaps, leveraging a deep understanding of datacenter products and market trends
  • Extensive hands-on Network deployment expertise and proven track record of delivering large projects on time. Cisco, Juniper or Arista experience is preferred
  • Direct, co-development/deployment experience in working with strategic customers/partners in bringing solutions to market
  • Excellent communication level from engineer to mid-management to C-level of audience
Job Responsibility
Job Responsibility
  • Collaborate with strategic customers on scalable designs involving compute, networking, storage environment, work with industry partners, Internal teams to accelerate the deployment, adoption of various AI/ML models
  • Engage system-level triage and at-scale debug of complex issues across hardware, firmware, and software, ensuring rapid resolution and system reliability
  • Drive the ramp of Instinct-based large scale AI datacenter infrastructure based on NPI base platform hardware with ROCm, scaling up to pod and cluster level, leveraging the best in network architecture for AI/ML workloads
  • Enhance tools and methodologies for large-scale deployments to meet customer uptime goals and exceed performance expectations
  • Engage with clients to deeply understand their technical needs, ensuring their satisfaction with tailored solutions that leverage your past experience in strategic customer engagements and architectural wins
  • Provide domain specific knowledge to other groups at AMD, share the lessons learnt to drive continuous improvement
  • Engage with AMD product groups to drive resolution of application and customer issues
  • Develop and present training materials to internal audiences, at customer venues, and at industry conferences
Read More
Arrow Right

Applications Support Group Manager

The Apps Support Group Manager is accountable for management of complex/critical...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years relevant experience
  • Post-Graduation in relevant field preferred
  • Senior to advanced level experience in Apps Support role with commensurate people management experience
  • Experience of senior stakeholder management
  • Project management with demonstrable results in improving IT services
  • Capacity Planning/Forecasting exposure
  • Good understanding of ML algorithms and practical application
  • Hand-on experience AI/ML services
  • Bachelor's/University degree, Master's degree preferred
Job Responsibility
Job Responsibility
  • Management of complex/critical/large professional disciplinary areas
  • Vendor relationship management including oversight for all offshore managed service
  • Improve service level to end users including maximizing operational efficiencies, strengthening incident management, problem management and knowledge sharing
  • Guide development teams on application stability and supportability improvements
  • Formulate and implement framework for managing capacity, throughput and latency
  • Define and implement application on-boarding guidelines and standards
  • Drive continued cost reductions and efficiencies across portfolios
  • Evaluate subordinates' performance and make decisions on personnel actions
  • Participate in business review meetings
  • Assure adherence to all support process and tool standards
  • Fulltime
Read More
Arrow Right

Risk Manager

We are seeking a highly motivated Model Risk Manager for Amazon’s Payments Risk ...
Location
Location
Colombia , Bogota
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of risk management experience, including building, testing, implementing, and validating models in financial services technology, payments, merchant/acquiring, audit/consulting, business software, retail, or online services companies (preferably AI/ML models)
  • Bachelor's degree in Financial Engineering, Financial Mathematics, Mathematics, Statistics, Computer Science, or related field, OR equivalent knowledge gained from relevant experience
  • Proven ability to manage difficult risk programs across multiple teams, with experience designing and implementing model risk management programs or processes from the ground up
  • Strong data analysis and technical skills, including knowledge of SQL and Big Data technologies like Hadoop or similar
  • Excellent written and spoken communication skills, with ability to transform complex risk concepts into clear documentation and influence business decisions across stakeholders
  • knowledge of data management fundamentals and data storage principles
Job Responsibility
Job Responsibility
  • Drive vision and execution of tactical elements of governance and compliance activities for AI and machine learning (ML) risk models
  • Assist in managing AI/ML risk management processes in alignment with regulatory requirements
  • Work with stakeholders and team members to ensure requisite activities associated with AI/ML regulatory guidance occur
  • Work with team members and leadership to prepare content and facilitate key stakeholder and working group meetings
  • Work with key stakeholders to ensure requisite activities within the enterprise AI/ML Risk Management Standard occur
  • Work with key stakeholders on identifying heightened risks, controls, and value of prospective Al/ML use cases
  • Work with Enterprise Architecture and data scientists to create and sustain a comprehensive Al/ML use intake process
  • Maintain the comprehensive inventory of Al/ML use cases, evidence of review and approval, and associated documentation
  • Partner with other functions (e.g., Legal, Compliance) on requisite review and effective challenge of new Al/ML use cases
  • Partner with subject-matter-experts and strategic leaders to ensure execution of requisite control activities as articulated in the enterprise Al/ML strategy
What we offer
What we offer
  • Inclusive Team Culture
  • Mentorship & Career Growth
  • Work/Life Balance
  • flexibility as part of our working culture
Read More
Arrow Right

Lead Product Manager

At Dexory, we are on a mission to be the most dominant player in warehouse intel...
Location
Location
United Kingdom , Wallingford, Oxfordshire
Salary
Salary:
Not provided
dexory.com Logo
Dexory Using
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in Product Management with demonstrable impact at Senior/Lead/Principal level in B2B platforms (automation, AI/ML, data or industrial domains a plus)
  • Track record aligning multiple teams around a clear strategy and delivering complex, cross-functional initiatives to measurable outcomes
  • Strong data fluency: defining KPI trees, running post-launch analyses/experiments, and leading portfolio-level reviews that inform investment
  • Depth in discovery: turning qualitative and quantitative insight into opportunity statements and roadmaps tied to commercial value
  • Exceptional stakeholder skills: influencing without authority, resolving high-stakes conflicts with empathy and evidence, and communicating at exec level
  • Leadership mindset: coaching PMs, shaping team culture, and raising the bar for ownership, accountability, and pace
  • Experience at the intersection of hardware and software, or deploying AI/analytics in operational environments is a bonus
Job Responsibility
Job Responsibility
  • Scale strategy & vision: Connect adjacent product areas under a coherent strategy and outcome-based OKRs
  • facilitate domain-level planning that influences company priorities
  • Drive execution excellence: Own delivery health across multiple product areas
  • remove systemic blockers
  • establish consistent planning, reporting and launch practices that others adopt
  • Champion data & insight: Ensure every initiative has clear success metrics
  • run portfolio reviews
  • help teams move debates from opinion to evidence
  • Customer & market leadership: Scale discovery standards
  • maintain senior customer relationships
What we offer
What we offer
  • Share options
  • Private healthcare via Bupa with 24/7 medical helpline
  • Life insurance
  • Income protection
  • Pension: 4+% employee with option to opt into salary exchange, 5% employer
  • Employee Assistance Programme - mental wellbeing, financial and legal advice/support
  • 25 holidays per year
  • Full meals onsite in Wallingford
  • Fun team events on and offsite, snacks of all kinds in the office
  • Fulltime
Read More
Arrow Right