machine learning engineering manager

Motive

<div>
 
 Who We Are
 
 
 
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 
 
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 
 
 Visit gomotive.com to learn more.
 
 
 
 About The Role
 
 
 
 We are looking for an experienced and hands-on Engineering Manager to lead a high-impact team of 6-8 AI engineers and research scientists, directly shaping the future of Motive's road and driver safety perception technology, developing industry-leading ADAS-like features such as forward collision warning, collision detection, unsafe lane changes, distracted driving, etc. Your primary mission will be to transform cutting-edge AI research into robust, production-ready features, driving the development lifecycle from initial concept through to successful in-field deployment and continuous optimization.
 
 
 You won't just manage; you'll inspire, mentor, and empower. This role demands a leader who thrives on both technical depth and people development. You will be the linchpin ensuring our ADAS-like AI functionalities are not only delivered on schedule but also set new benchmarks for quality, reliability, and performance in real-world conditions. If you are ready to make a significant technical contribution, build an exceptional team, and deliver AI products that redefine user experience and safety, this is the role for you.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Lead, mentor, and inspire a team of 6-8 AI engineers and scientists, fostering a collaborative, focused, and high-performing environment.
 </li>
 <li>
 Actively coach and grow individual contributors, providing constructive feedback, managing performance, and supporting their technical improvement and career development.
 </li>
 <li>
 Foster a culture of technical excellence, continuous learning, and shared responsibility.
 </li>
 <li>
 Take an active and hands-on role in roadmap planning, technical decision-making, and providing expert guidance for the development of AI/ADAS-like features.
 </li>
 <li>
 Drive the design, development, and deployment of robust AI models for critical functions like lane keeping, collision warning, and trajectory prediction.
 </li>
 <li>
 Oversee the entire product lifecycle from research to in-field deployment, ensuring features meet quality, performance, and reliability standards in production.
 </li>
 <li>
 Stay at the forefront of AI, machine learning, computer vision, and ADAS technologies, integrating relevant advancements into our product strategy.
 </li>
 <li>
 Develop, enforce, and continuously improve engineering processes and best practices across the team to enhance efficiency and quality.
 </li>
 <li>
 Effectively communicate with cross-functional stakeholders (Product, Hardware, etc.), influencing product strategy, technical architecture decisions, and process-related choices.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Electrical Engineering, Robotics, or a related quantitative field. Ph.D. is a plus.
 </li>
 <li>
 5+ years of hands-on experience in Computer Vision and/or Machine Learning, with a deep understanding of training and deploying Machine/Deep Learning models.
 </li>
 <li>
 2+ years of recent engineering management experience leading an AI/ML focused team of 6+ engineers.
 </li>
 <li>
 Proven track record of successfully launching and operating Computer Vision or Machine Learning applications at scale.
 </li>
 <li>
 A deep understanding of the process and challenges involved in building and maintaining large-scale ML products, especially those requiring high reliability and performance in the field.
 </li>
 <li>
 Exceptional leadership skills with a demonstrated ability to recruit, hire, coach, and grow engineering talent.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
 </li>
 <li>
 Experience in ADAS (Advanced Driver-Assistance Systems) or Autonomous Driving is a strong plus.
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with sensor fusion (e.g., camera, radar, lidar data).
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP) for MLOps and model deployment.
 </li>
 <li>
 Familiarity with real-time embedded systems or automotive-grade software development.
 
 
 </li>
 </ul>
 
 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 
 
 Please review our Candidate Privacy Notice here .
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 
</div>

Engineering Manager, Machine Learning, Perception

JPMorganChase

<div>JOB DESCRIPTION 
Join our AIML Data Platforms team and shape the future of machine learning at a global financial leader. Drive innovation and deliver impactful AI solutions across diverse technologies. Lead and mentor top talent in a collaborative, growth-focused environment. Work on cutting-edge projects that transform client experiences. Make your mark in a team committed to technical excellence and operational success.
As a Director of Machine Learning Engineering at JPMorgan Chase within the Corporate Sector &ndash; AIML Data Platforms, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery.
You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key.
Job Responsibilities<ul><li>
Lead and manage a team of machine learning engineers, ensuring the implementation, delivery, and support of high-quality ML solutions.</li><li>
Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions.</li><li>
Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage.</li><li>
Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems.</li><li>
Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks.</li><li>
Drive the adoption and execution of AI/ML Platform tools across various teams.</li><li>
Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques.</li><li>
Lead the entire AI/ML product life cycle through planning, execution, and future development by continuously adapting, developing new AI/ML products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth.</li><li>
Manage, mentor, and develop a team of AI/ML professionals in a way that promotes a culture of excellence, continuous learning, and supports their professional goals.</li></ul>
Required Qualifications, Capabilities, and Skills<ul><li>
Formal training or certification on Data Engineering and Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise</li><li>
Bachelor's degree or equivalent practical experience in a related field.</li><li>
Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn).</li><li>
Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture.</li><li>
Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators.</li><li>
Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems.</li><li>
Strategic thinker with the ability to craft and drive a technical vision for maximum business impact.</li><li>
Demonstrated leadership in working effectively with engineers, data scientists, and ML practitioners.</li></ul>
Preferred Qualifications, Capabilities, and Skills<ul><li>
Strong coding skills and experience in developing large-scale AI/ML systems.</li><li>
Proven track record in contributing to and optimizing open-source ML frameworks.</li><li>
Recognized thought leader within the field of machine learning.</li><li>
Understanding &amp; experience of AI/ML Platforms, LLMs, GenAI, and AI Agents.</li></ul>
ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 
 
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div> 
 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Director, Chief Data & Analytics Office

SymphonyAI

<div>Introduction:
<div>
About Us:</div><div> 
SymphonyAI is a leading enterprise AI solutions provider empowering retailers and manufacturers to optimize business operations through customer insights. Our innovative technology and strategic collaboration position us as a preferred partner for leading retailers and manufacturers globally.</div>
Job Description:

About the role:<ul><li> 
Strategic Leadership:</li><li><ul><li>
Lead and develop the Data Science and ML Engineering teams to deliver actionable business insights and production-grade ML solutions.</li><li>
Collaborate with senior leadership to define the analytics and AI roadmap aligned to retail business priorities (pricing, promotions, assortment, personalized marketing, and customer experience).</li></ul></li><li>
Team Management and Mentoring:</li><li><ul><li>
Build, mentor, and retain a high-performing team of data scientists and machine learning engineers.</li><li>
Foster a culture of innovation, continuous learning, and excellence.</li></ul></li><li>
Solution Design and Delivery:</li><li><ul><li>
Oversee end-to-end delivery of advanced analytics and machine learning projects, from ideation to deployment and ongoing optimization.</li><li>
Architect and implement scalable models for price optimization, promotion effectiveness, assortment planning, demand forecasting, and personalized marketing.</li></ul></li><li>
Hands-on Technical Oversight:</li><li><ul><li>
Guide the team in leveraging modern data science tools and frameworks (Python, R, Spark).</li><li>
Champion the adoption and integration of GenAI (Generative AI) for real-world retail applications (e.g., automated content creation, chatbot solutions, recommendation systems).</li></ul></li><li>
Deployment &amp; Integration:</li><li><ul><li>
Drive best practices for robust model deployment and MLOps, ensuring seamless integration of models into retail software platforms or products.</li><li>
Work closely with product and engineering teams to operationalize data science solutions at scale.</li></ul></li></ul>
About you: 
<ul><li>
10+ years of industry experience in data science and machine learning; min 3+ years in a leadership role managing data science and/or ML engineering teams.</li><li>
Demonstrated expertise in retail analytics (price optimization, promotion analytics, assortment planning, personalization, customer segmentation, etc.).</li><li>
Advanced degree (PhD/Masters) in Computer Science, Statistics, Mathematics, Data Science, or related field.</li><li>
Extensive hands-on experience in Python (scikit-learn, pandas, TensorFlow/PyTorch), R, and Spark.</li><li>
Proven experience with designing, building, and deploying production-grade ML models and integrating with existing business software/systems.</li><li>
Strong understanding of MLOps, Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is highly desirable.</li><li>
Experience with GenAI frameworks, applications, and responsible AI principles.</li></ul>
About Us:
<div>
What We Offer:</div><ul><li>
Competitive salary and benefits package.</li><li>
Opportunities to work on innovative, cutting-edge technology projects.</li><li>
Supportive, collaborative, and technically enriching work environment.</li><li>
Professional growth and upskilling opportunities.</li></ul></div>

Senior Director, Data Science

Oracle

<div>Oracle's AI Data Platform is accelerating enterprise AI and redefining how AI applications are built. The AI Data Platform team is seeking an experienced Senior Software Engineering Manager to lead key initiatives that accelerate adoption of modern AI technologies across our AI Data Platform.
In this highly strategic role, you will drive the design, development, and integration of state-of-the-art AI solutions. You will collaborate with stakeholders across product, engineering, and science to shape the AI Data Platform&rsquo;s AI roadmap and deliver differentiated value to enterprise customers and partners.</div>
 <div>Key Responsibilities
<ul><li>Build and lead a high-impact engineering team dedicated to developing and operationalizing modern AI capabilities&mdash;including Agents, GenAI models, and RAG workflows&mdash;within the Oracle AI Data Platform.
</li><li>Define and execute the vision for next-generation AI services and tools that enable advanced automation, insights, and productivity for enterprise applications.
</li><li>Evaluate, architect, and integrate emerging AI technologies&mdash;assessing their relevance, maturity, and impact on the AI Data Platform.
</li><li>Establish best practices for scalable, secure, and robust deployment of GenAI and RAG-powered services, ensuring seamless integration with Oracle&rsquo;s cloud and application ecosystem.
</li><li>Shape technical strategy and influence the platform roadmap by translating market and customer requirements into actionable engineering plans.
</li><li>Foster cross-functional collaboration with product, engineering, science, and enterprise customers to prototype and validate innovative AI-powered workflows.
</li>Drive pilots and joint initiatives with strategic customers and partners to accelerate adoption of Oracle&rsquo;s AI Data Platform offerings. 
<li>
</li></ul>Qualifications
<ul><li>Proven experience leading technical innovation teams in AI/ML, cloud data platforms, or large-scale infrastructure environments.
</li><li>Deep technical expertise in machine learning systems, GenAI/LLM model architectures, and development/deployment of AI agents or RAG pipelines at enterprise scale.
</li><li>Demonstrated track record of delivering complex, high-impact features or platforms from concept to customer adoption and operational stability.
</li><li>Strong business acumen with the ability to balance strategic vision with operational execution and customer needs.
</li><li>Exceptional communication and stakeholder management skills, with the ability to influence at all levels including with enterprise customers.
</li><li>Experience driving end-to-end engineering solutions in partnership with cross-functional teams, including science, engineering, and customer-facing roles.</li></ul></div>

Software Development Snr Manager

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
As part of SAP&rsquo;s Application AI organization, you&rsquo;ll lead a team at the forefront of enterprise AI innovation. You&rsquo;ll shape how SAP&rsquo;s customers plan, build, and visualize with generative AI&mdash;across Sales, Marketing, Finance, HR, and beyond. By joining Experience Generation, you&rsquo;ll have the opportunity to lead talented engineers, collaborate with researchers and product visionaries, and deliver technologies that redefine how businesses operate. 
What You&rsquo;ll Do
As an Engineering Manager, you will lead a team of talented engineers building the next generation of SAP&rsquo;s generative-AI services. You&rsquo;ll provide technical and people leadership, ensuring our projects deliver both innovation and enterprise reliability. Working closely with product managers, researchers, and partner teams across SAP, you&rsquo;ll shape roadmaps, remove execution barriers, and build a high-performing engineering culture. 
Key Responsibilities<ul><li>
Lead, mentor, and grow a cross-functional team of engineers (junior to senior) delivering production-grade AI workflows.</li><li>
Drive technical execution for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.</li><li>
Partner with product leadership to define roadmaps that balance innovation with enterprise-grade scalability, governance, and security.</li><li>
Ensure engineering excellence through code reviews, architectural oversight, and best practices in testing, deployment, and monitoring.</li><li>
Foster a culture of collaboration, continuous learning, and experimentation within the team.</li><li>
Coordinate with SAP AI platform teams (e.g., GenAI Hub, BTP, HANA Cloud) to align on shared infrastructure and governance standards.</li><li>
Translate cutting-edge research (e.g., LLMs, RAG, diffusion, multimodal) into scalable, trusted enterprise solutions.</li><li>
Manage delivery timelines, resource allocation, and stakeholder communication.</li></ul> 
What You Bring:<ul><li>
8+ years of professional experience in software or machine learning engineering, including at least 2+ years in engineering management or technical leadership roles.</li><li>
Strong technical background in ML/AI (LLMs, embeddings, multimodal generation, or agentic systems).</li><li>
Proficiency in Python or another language such as Go or TypeScript, and understanding of distributed systems is highly desirable.</li><li>
Experience leading teams working with cloud-native infrastructure (Kubernetes, AWS/Azure), data platforms (Postgres, Cassandra, vector databases), and modern frontend frameworks (React/Next.js).</li><li>
Proven ability to deliver production AI systems at scale with attention to quality, reliability, and security.</li><li>
Demonstrated success in mentoring engineers, fostering team growth, and creating an inclusive, high-performance culture.</li><li>
Excellent communication and stakeholder management skills, with experience working in cross-functional, global teams.</li></ul> 
Meet Your Team:
The Experience Generation team at SAP is transforming how enterprises move from an idea to a production-ready outcome. Our trio of generative-AI services&mdash;Deep Research &amp; Planning, Experience Builder, and Visual Services&mdash;empower business users to create strategic plans, role-aware micro-apps, and branded commerce imagery in minutes. Every output remains anchored to governed enterprise data and standards, ensuring both agility and trust.
Our platform combines a React/Next.js front end, a Python + FastAPI backend orchestrating LangGraph sub-agents, and Gardener-managed Kubernetes for scale. Data persistence spans Postgres, Cassandra, and HANA Cloud&rsquo;s new vector engine, with SAP&rsquo;s Generative AI Hub providing foundation model choice and governance. Together, these systems deliver an enterprise-grade substrate for controllable, scalable AI workflows across all SAP lines of business.
#SAPInternalT4PM<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 433529 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Machine Learning Engineer Manager

Valleysoft

<div>Valleysoft | Center of Excellence is a regional IT services provider based in Riyadh, serving clients globally since 2006. The company collaborates with global partners like IBM to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
Valleysoft | Center of Excellence is seeking talented Data &amp; ML Engineers to join our innovative team. As Data &amp; ML Engineers, you will be responsible for designing, developing, and implementing data-driven solutions and machine learning models to support our clients' business goals.
The ideal candidates will have a strong foundation in data engineering, machine learning, and software development, with proven experience in building scalable data pipelines and deploying machine learning solutions. They will also possess excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. If you are passionate about data science and machine learning, we want to hear from you!<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Design, build, and maintain scalable data pipelines for data ingestion, processing, and storage.</li>
<li>Collaborate with data scientists and stakeholders to understand data requirements and translate them into technical specifications.</li>
<li>Develop and deploy machine learning models for predictive and prescriptive analytics.</li>
<li>Implement and optimize data processing workflows using big data technologies and frameworks.</li>
<li>Ensure data quality, integrity, and availability throughout the data lifecycle.</li>
<li>Monitor and troubleshoot data and machine learning models to ensure high performance and reliability.</li>
<li>Stay current with industry trends, tools, and technologies in data engineering and machine learning.</li>
<li>Document technical processes and provide training on data engineering and machine learning practices.</li>
<li>Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.</li>
</ul>
Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.</li>
<li>Proven experience in data engineering and machine learning development.</li>
<li>Strong programming skills in Python, Java, or similar languages.</li>
<li>Solid understanding of machine learning algorithms and data modeling techniques.</li>
<li>Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).</li>
<li>10 years Relevant experience in data engineering and machine learning.</li>
<li>Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.</li>
<li>Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li>
<li>Relevant certifications in data engineering or machine learning (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are preferred.</li>
<li>Understanding of data governance and data privacy regulations.</li>
<li>Experience with version control systems (e.g., Git) is a plus.</li>
<li>Understanding of National Information Exchange Model (NIEM) is preferred.</li>
<li>Experience with Dublin Core Metadata is a preferred.</li>
</ul>Skills:<ul>
<li>Strong understanding of data engineering practices and machine learning principles.</li>
<li>Ability to design and implement efficient data pipelines and machine learning models.</li>
<li>Excellent analytical and problem-solving skills.</li></ul></div>

Data & ML Engineers

Apple

<div>Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. Join Apple, and help us leave the world better than we found it. Product Operations group is looking to add a Data and Machine Learning Program Manager to support data systems, automation, machine learning, tools that enhance manufacturing of Apple's products. This team is made up of creative innovators and problem solvers who tackle unique challenges to ideate, create POCs and deliver new solutions in the data space. It takes deeply dedicated, intelligent and hard-working individuals to maintain and exceed the high expectations for the exciting products at Apple. The Product Operations Data Team is looking for an extraordinary Program manager to join our team. You will craft, design and implement our machine learning strategy to the massive supply chain and help build the future of our manufacturing systems. Do you love using your creative left brain and structured, tactical right brain to drive projects to build systems, innovate with ML/analytics, and find operations efficiencies.
 
 
Description 
 
In this role you will be responsible for planning and managing deployment of various business solutions for the Product Operations organization. We lead and participate in efforts for process standardization, ideation and development of tools, and implementation through successful completion. - Lead the ideation, prototyping, and business justification/validation of solutions for Product Ops - Work closely with engineering teams on technical development and deployment of high-quality solutions - Lead the definition and execution of scalable solutions to support core internal customer needs and to improve process efficiencies - Process re-engineering or build out enhancements - Identify inefficient process and help enable better decisions leveraging data, AI, Machine Learning or all 3 together - Prototype solutions before providing recommendations on directions. e.g. create dashboard mock-ups before investing in development effort - Program management of machine learning initiatives - scoping, prioritization, resourcing, and implementation - Comfortable and flexible in serving both supporting and leadership roles for various projects
 
 
Minimum Qualifications 
<ul><li>
3+ years of project management experience in highly technical field
</li><li>Bachelors or Masters in Computer Science, Engineering or similar field and hands on experience in technical roles
</li></ul> 
Preferred Qualifications 
<ul><li>
Knowledge of emerging concepts like machine learning and predictive analytics (Deep Learning, Python, R, Neural Networks, applied Data Science) a strong plus
</li><li>Strong Excel skills, including pivots, vlookups, conditional formatting, large record sets
</li><li>Familiarity with databases, large data sets, reporting Tableau and SQL a plus
</li><li>Domestic and international travel up to 25% and work hour flexibility required in this dynamic, global position
</li><li>Able to work independently when managing multiple priorities in an unstructured, global and virtual environment is essential
</li><li>Highly desirable to have high tech manufacturing, Supply Chain Management, NPI or Manufacturing Operations related education / experience
</li>MBA is considered a plus 
<li>
</li></ul> 
 
Submit CV</div>

Data ML Program Manager - Product Operations

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