Senior Manager, Applied AI/ML Job at Universal Orlando Resort (Orlando)

Senior Engineering Manager - AI/ML

Hewlett Packard Enterprise is looking for a Senior Engineering Manager - AI/ML t...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

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

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

Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Career growth opportunities
Inclusive work environment.

Fulltime

Senior Engineer Manager - AI/ML

Senior Engineer Manager role in AI/ML at Hewlett Packard Enterprise, focusing on...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

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

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

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive benefits suite supporting physical, financial and emotional wellbeing

Fulltime

Senior Engineering Manager - Risk

Our mission is to build the intelligent, automated systems and operational tools...

Location

United States; Canada , San Francisco; New York; Portland

Salary:

239000.00 - 298800.00 USD / Year

Mercury

Expiration Date

Until further notice

Requirements

9+ years of software development experience
3–5+ years of engineering management in a high-scale tech environment
AI/ML expertise—you’ve built and launched applied AI products (from LLMs to traditional ML models), shipping them from 0→1 and scaling 1→10 in production environments
Proven success building large-scale backend distributed systems, ideally involving integrations and decision automation
Experience with or curiosity about KYC, AML, risk, or compliance systems in financial services or fintech
A track record of raising the bar for quality and reliability, balancing shipping speed with technical excellence
Strong communication and leadership skills—you can inspire engineers, partner across functions, and adapt your management style to the moment
The ability to hire, retain, and develop exceptional technical talent
A pragmatic builder’s mindset: you believe beautiful systems are those that work, adapt, and last

Job Responsibility

Lead teams (4–8 engineers each) responsible for account onboarding, KYC/KYB, AML, and fraud detection decisioning and workflows, and operational tooling
Apply AI/ML—from traditional models to large language models—to unlock faster, real-time bank account application approvals. This work sits on the critical business path, directly driving efficiency and revenue growth
Partner with Product, Risk, and Data teams to design and deliver scalable systems that balance user experience with compliance rigor
Shape the next generation of our KYC and risk platforms—reliable, resilient, and easy to extend as regulations and business needs evolve
Create a strong culture of operational excellence, with measurable improvements to uptime, accuracy, and system quality
Build, mentor, and grow engineering talent
help managers and senior engineers level up technically and organizationally
Drive clarity amid complexity: translating between regulatory nuance and technical execution
Foster collaboration across teams to align on priorities, simplify interfaces, and make the whole system more maintainable and elegant

What we offer

base salary
equity
benefits

Fulltime

Senior Manager, Forward-Deployed Data Science

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insi...

Location

Ireland; United Kingdom , Dublin; London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Proven ability to drive strategic, data-driven outcomes in complex, real-world business environments - ideally in customer-facing or enterprise contexts
Strong leadership in ambiguous, high-stakes environments - able to set strategy, prioritize, and guide a team through fast-evolving challenges and opportunities
Deep customer empathy and executive communication skills, with the ability to influence senior stakeholders, guide AI adoption strategy, and simplify complexity
Track record of building and scaling technical solutions using AI/ML, especially in areas like LLM applications, conversational AI, or intelligent automation
Strong SQL and fluency in Python/R, with experience applying analytical, statistical, and AI/ML techniques to business problems
Experience evaluating and deploying LLM-driven or conversational AI systems, including measurement frameworks and reliability assessments
Demonstrated ability to prototype quickly, balancing rigor with speed to accelerate customer outcomes

Job Responsibility

Drive the adoption of Fin by helping customers automate and scale their support operations
Embed with strategic customers to understand their support workflows, data, and business challenges - to identify and implement opportunities where AI can deliver measurable impact
Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin
Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development
Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
Cycle-to-Work Scheme
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Senior AI/ML Engineer

Barbaricum is seeking a highly experienced Senior AI/ML Engineer to support Soft...

Location

United States , Crane

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD Secret Clearance (Top Secret preferred)
Bachelor’s degree in Computer Science, Engineering, or related technical discipline (Master’s preferred)
10+ years of progressive experience in AI/ML engineering, software development, or applied data science
Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments
Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow)
Strong background in software and cyber engineering principles, including system hardening, secure coding, and vulnerability mitigation
Proven ability to lead complex technical efforts, mentor junior engineers, and interface with government stakeholders
DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP, or equivalent) must be obtained and maintained

Job Responsibility

Partner with project managers and engineering teams to define objectives for AI/ML systems in support of maneuver, surveillance, and engagement missions
Develop and prototype AI/ML systems to address mission-specific requirements, including computer vision, sensor fusion, and decision-support applications
Conduct rigorous testing and evaluation of AI/ML performance against operational datasets
Analyze test data to identify model strengths, weaknesses, and mission relevance
Refine and optimize systems to ensure robustness, scalability, and cyber resilience
Troubleshoot complex system challenges and provide technical guidance for deployed solutions
Deliver comprehensive documentation and technical reports to stakeholders
Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems

Senior Manager Analytics

Senior Manager, Merchandising and Food Category Analytics role focused on leadin...

Location

Norway , Oslo

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

A higher degree in an analytical discipline such as Data Science, Applied Mathematics, Statistics, Engineering, or similar is preferred
Higher business degrees will also be considered
7+ years of experience in data science and analytics, including 2+ years in a leadership role, ideally in a retail merchandising or category analytics context
Excellent English language skills for communication with colleagues in Europe
Excellent communication skills with stakeholders at all levels of the organization and in any geography
Proven ability to translate data, analytics, and AI/ML insights into actionable business strategies and outcomes, supported by a strong commercial mindset
Experience with analytical approaches such as exploratory data analysis, descriptive analytics, hypothesis testing, as well as Agile development methodologies
Familiarity with data science methodologies and tools including statistics, regression, clustering, time series analysis, machine learning
Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based AI/ML platforms (e.g., Azure, Snowflake, Google Cloud Platform, AWS)
Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices

Job Responsibility

Collaborate with business stakeholders and category teams to define business requirements, KPIs, and acceptance criteria for analytics initiatives
Act as a data-driven thought partner to Category teams, providing analytical support and challenging priorities based on insights
Develop, manage, and execute the analytics roadmap to support business objectives and drive performance across assigned merchandise categories
Serve as the data-driven partner for our operational leadership teams, category teams, and functional teams, supporting them in their priorities, but also challenging and prioritizing based on data and insights you and your team uncover
Recruit, mentor, and lead a high-performing team, fostering a culture of continuous learning, innovation, and diversity
Provide guidance on career development, resource allocation, and recruitment for analytics talent
Lead the design, development, and deployment of initiatives spanning reporting and advanced analytics (e.g., forecasting, clustering, A/B tests, causal impact analysis etc.) to optimize category performance, competitor analysis and scale cross-category toolkits
Oversee the end-to-end analytics workflow including data preprocessing, feature engineering, model training, validation, deployment, and evaluation
Partner with Technology and Operations teams to ensure robust data pipelines, scalable model deployment, and data-driven decision making
Enhance agility by proactively identifying and remediating data issues

What we offer

Employee discount on fuel
Work in a collaborative, dynamic, high-performing and diverse team
Learning opportunities to develop new skills and evolve professionally in a fast-growing company.

Fulltime

Senior Engineering Manager, AI

As a Senior Engineering Manager (Forward Deployed Engineering team) at Atlassian...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience managing software engineering teams at scale
Experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals

Job Responsibility

Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation—ensuring rapid, high-quality delivery of customer-focused, production-ready solutions
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results

What we offer

Health coverage
Paid volunteer days
Wellness resources

Senior Technical Delivery Manager

We're seeking a Senior Technical Delivery Manager to spearhead enterprise deploy...

Location

Spain , Madrid

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Strong, demonstrable experience in technical delivery, solutions architecture, or infrastructure engineering, with experience supporting enterprise software deployments in highly regulated industries (financial services, healthcare, manufacturing)
Deep understanding of cloud infrastructure (AWS preferred), containerization technologies, enterprise networking, and security frameworks relevant to enterprise AI (SOC 2, ISO 27001, GDPR)
Proven track record managing multi-stakeholder technical projects across geographies and organizational boundaries
Cloud & Infrastructure: AWS (VPC, IAM, ECS/EKS, CloudWatch), Docker, Kubernetes, CI/CD pipelines
Enterprise Integration: RESTful APIs, authentication protocols (OAuth, SAML), enterprise databases, ETL/data pipeline concepts
AI/ML Fundamentals: Understanding of LLM architectures, RAG systems, agent frameworks, and enterprise AI governance
Security & Compliance: Experience with enterprise security reviews, data residency requirements, encryption standards, and regulatory compliance
Exceptional communication skills with ability to translate technical concepts for executive stakeholders and build trusted advisor relationships
Calm and composed under pressure, with proven ability to navigate high-stakes situations and de-escalate tension with diplomacy and professionalism
Structured problem-solver who thrives in ambiguous, fast-moving environments with composure under pressure

Job Responsibility

Lead end-to-end technical delivery of Maisa platform deployments across geos and regulatory environments, designing solution architectures for on-premise, private cloud, and hybrid environments that meet stringent enterprise security and compliance requirements while integrating with existing enterprise systems (e.g. legacy systems, ERP/CRM, identity providers, SIEM tools), as well as and troubleshooting complex technical issues spanning containerization (Docker/Kubernetes), networking, API integrations, and enterprise authentication (SSO, MSK, RBAC)
Serve as the primary technical point of contact for strategic enterprise clients, translating complex AI capabilities into business value through solution design workshops, architecture reviews, and executive stakeholder engagement. Whilst building confidence in our enterprise readiness
Partner with Support teams to ensure smooth operational hand off by developing technical documentation, SLA’s, escalation paths and playbooks, while serving as the escalation point for complex technical issues and critical incidents
Bridge between Client Services, Product Engineering, Applied AI, Support Operations, and customer teams to develop deployment playbooks, identify product enhancement opportunities, and support pre-sales technical validation

Senior Manager, Applied AI/ML

Universal Orlando Resort

Location:
United States , Orlando

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 06, 2026

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