UNKNOWN

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If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option2 for candidate related inquiries, then select Option1 for candidate queries and finally select Option2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

YEAR

Location: Anywhere in CountryAt EY, we're all in to shape your future with confidence.We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.The opportunityOur Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side‑by‑side with clients and diverse teams from EY to create a well‑rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions.As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on‑premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.Your key responsibilitiesIn this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.You will spend your time on key responsibilities that include:Researching and implementing scalable AI systems that meet business requirements.Enhancing data pipelines and storage for optimal data accuracy and cleanliness.Monitoring and optimizing learning processes to improve high‑performance models.This position may have travel requirements as needed to engage with external clients regularly.Skills and attributes for successTo excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.Strong analytical and decision‑making skills to guide project direction.Proven experience in project management and tracking deliverable completion.Ability to build and maintain relationships with clients and team members.Excellent communication skills to convey complex ideas effectively.To qualify for the role, you must haveA Bachelor's degree required (4‑year degree).3‑6 years of full‑time working experience in AI and/or Machine Learning.Strong skills in Python.Ability to collaborate and communicate effectively with diverse, hybrid and global teams.Experience designing, building, and maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform.Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit‑learn and PyTorch.Experience with natural language processing and deep learning.Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions.Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.Experience with model retraining and feedback loop methodologies.Experience with model and solution monitoring and reporting.Understanding of data structures, data modelling, and software engineering best practices.Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.Ideally, you'll also haveMaster's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field.Experience in hybrid collaboration and emotional agility.A track record of working with diverse teams to drive outcomes through complex problem‑solving.Knowledge of sustainability practices in technology.A deep understanding of and ability to teach concepts, tools, features, functions and benefits of different approaches to apply them.Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.Experience fine‑tuning Generative AI models.Experience with image processing techniques and/or speech and audio processing and analysis.What we look forWe seek individuals who are not only technically proficient but also possess the qualities of a top performer. You should be innovative, adaptable, and purpose driven by a desire to make a significant impact in the field of artificial intelligence. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.What we offer youAt EY, we'll develop you with future‑focused skills and equip you with world‑class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.Are you ready to shape your future with confidence? Apply today.EY accepts applications for this position on an on‑going basis.For those living in California, please click here for additional information.EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.EY | Building a better working worldEY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option2 for candidate related inquiries, then select Option1 for candidate queries and finally select Option2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .#J-18808-Ljbffr

Ernst & Young Oman

AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN

Agile Programming Methodologies

Analysis Skills

Artificial Intelligence (AI)

Atlassian JIRA

Best Practices

Big Data

Business Intelligence

C Programming Language

C++ Programming Language

Cloud Computing

Communication Skills

Computer Science

Consulting

Continuous Deployment/Delivery

Continuous Integration

Customer Relations

Customer Support/Service

Data Analysis

Data Management

Data Modeling

Data Quality

Data Science

Data Storage

Data Structures

Deep Learning

DevOps

Develop and Maintain Customers

Emerging Technology

Engineering Consulting

Geography

Image Processing

Interpersonal Skills

Java

JavaScript

Leading Edge Technology

Machine Learning

Mathematics

Microsoft Windows Azure

Natural Language Processing (NLP)

Operations Research

People Management

Performance Management

Performance Modeling

Physical Science

Problem Solving Skills

Process Improvement

Project/Program Management

Python Programming/Scripting Language

R Programming Language

Research & Development (R&D)

SQL (Structured Query Language)

Scalable System Development

Software Engineering

Statistics

Sustainability

Systems Scalability

Team Lead/Manager

Team Player

Technical Delivery

Technical Leadership

Top Sales Rep

Training/Teaching

Willing to Travel

Hire Recruits

This role combines deep technical expertise in Salesforce and MuleSoft with a servant leadership mindset to foster collaboration, drive platform consistency, and ensure strategic alignment across product groups. The Salesforce Software Engineering Director is a senior technical leadership role responsible for guiding the architecture, integration, and delivery of Salesforce CRM solutions across Ford Pro's product ecosystem.

Ford Pro is a global business within Ford Motor Company focused on delivering productivity solutions to commercial customers. We offer a comprehensive suite of vehicles, charging infrastructure, software, and services tailored to fleet and business needs. Our technology team powers the digital backbone of Ford Pro, enabling smarter fleet management and customer engagement through platforms like Salesforce CRM.The Salesforce Software Engineering Director is a senior technical leadership role responsible for guiding the architecture, integration, and delivery of Salesforce CRM solutions across Ford Pro's product ecosystem. This role combines deep technical expertise in Salesforce and MuleSoft with a servant leadership mindset to foster collaboration, drive platform consistency, and ensure strategic alignment across product groups.What you'll do...Technical Architecture & Delivery<ul><li>Architect scalable, secure, and performant Salesforce CRM solutions aligned with Salesforce.com Standard Practices and Ford Pro's Common Engineering Policies (CEP), including API standards, logging norms, and release management.</li><li>Lead MuleSoft integration strategies to connect Salesforce with internal and external systems.</li><li>Drive Agile product development practices using JIRA to manage backlog, sprints, releases, and retrospectives.</li><li>Validate and refine target state architectures through usability testing, performance/load testing, and continuous improvement.</li></ul>Servant Leadership & Collaboration<ul><li>Act as a consensus builder across other Ford Pro product groups</li><li>Facilitate alignment on technical decisions, team allocations, and product lifecycle transitions.</li><li>Promote transparency and shared accountability using progress reporting tools and OKR's</li><li>Champion Community of Practice (CoP) principles to ensure consistency in engineering and product management practices.</li></ul>Financial Acquisition & Resource Planning<ul><li>Support financial and headcount forecasting through collaborative internal processes and related tools.</li><li>Align product investments with strategic priorities and ensure efficient resource allocation.</li><li>Participate in Tech Council reviews for budget approvals and product lifecycle decisions.</li></ul>You'll have...<ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or related field or a combination of education and experience</li><li>12+ years of experience in enterprise CRM platforms, with at least 7 years in Salesforce architecture and development.</li><li>Salesforce Platform Architecture (Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, Data Cloud)</li><li>MuleSoft Anypoint Platform (API design, RAML, connectors, orchestration)</li><li>RESTful API design and versioning</li><li>CI/CD pipelines and release management, Copado Preferred</li><li>Logging and monitoring standards (aligned with Ford Pro's CEP)</li><li>Cloud architecture validation and performance/load testing</li><li>Usability testing and persona-driven design</li><li>Git-based source control and repository management</li><li>Tool proficiency: JIRA, Microsoft Teams, Miro</li><li>Framework fluency: Salesforce Well-Architected Framework</li><li>Cloud platform expertise: Google Cloud Platform (GCP) or similar cloud platform for hybrid and scalable integrations</li><li>3+ years of experience with MuleSoft integration and API-led connectivity.</li><li>Proven experience leading cross-functional technical teams in Agile environments.</li><li>Strong understanding of financial acquisition and resource planning processes.</li><li>Demonstrated ability to lead through influence and build consensus across diverse teams</li></ul>Even better, you may have...<ul><li>Salesforce Certified Application Architect</li><li>Salesforce Certified System Architect</li><li>Salesforce Certified Integration Architecture Designer</li><li>Other Salesforce Designer Certifications</li><li>MuleSoft Certified Associate</li><li>Google Cloud Professional Cloud Architect or other public cloud certifications</li></ul>You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:• Immediate medical, dental, vision and prescription drug coverage• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more• Vehicle discount program for employees and family members and management leases• Tuition assistance• Established and active employee resource groups• Paid time off for individual and team community service• A generous schedule of paid holidays, including the week between Christmas and New Year's Day• Paid time off and the option to purchase additional vacation time.For a detailed look at our benefits, click here: SOUTHEAST MI RESIDENTS: This role is posted as remote unless you reside within 50 miles of Dearborn, MI—in which case we request on-site presence up to 4 days a week.Visa sponsorship is not available for this position.Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.#LI-Remote#LI-AH1

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Online Engineering Jobs in Frankfort, KY

AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN Ernst & Young Oman

Software Engineering Director Ford Motor Company

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