Generative AI and Machine Learning Engineer

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>About our group:</b></H2> </div><div><p><span style=""><span><span style="Calibri&#39;, sans-serif"><p> </p> <p>In this highly visible role, you will work at the intersection of AI, language, and technology to help develop and optimize Large Language Model-based analytics solutions that streamline business operations, improve access to complex data and tools, and enable faster, better-informed decision-making. These solutions will enhance existing state-of-the-art platforms by making them more intuitive, scalable, and actionable; driving higher adoption, greater productivity, and measurable efficiency gains across the organization. Our team is collaborative, proactive, and solution-oriented, partnering across the organization to deliver end-to-end solutions.</p></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>About the role - you will:</b></H2> </div><div><p><span style=""><span><span style="Calibri&#39;, sans-serif"><p> </p> <ul> <li>You will develop and optimize Large Language Model-based analytics solutions to transform business operations.</li> <li>Be part of a product team of about 20 data scientists, machine learning engineers, and platform engineers focused on developing and maintaining agentic solutions &amp; machine learning solutions and big data platforms.</li> <li>Leverage commercial (for example, Azure OpenAI) and open-source (for example, google Gemma) LLMs to build agentic solutions that help end users accelerate their daily workflows intuitively and efficiently.</li> <li>Drive seamless integration of LLM models with existing platforms and enterprise systems.</li> <li>Build and scale robust data connectors and knowledge bases for agentic systems.</li> <li>Collaborate with machine learning engineers to build scalable data pipelines and develop new machine learning models.</li> <li>Design and implement tools and processes across the MLOps lifecycle, including model development, deployment, serving, monitoring, and experimentation.</li> <li>Collaborate with data scientists, data engineers, and business subject matter experts to enhance the end-to-end analytics platform and supporting infrastructure.</li> </ul></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>About you:</b></H2> </div><div><p><span style=""><span><span style="Calibri&#39;, sans-serif"><p> </p> <p>You thrive in fast-paced, dynamic environments and demonstrate a strong ability to adapt to evolving technologies and project requirements. Your passion for leveraging data-driven insights enables you to tackle complex challenges and drive impactful business outcomes. You are comfortable collaborating across multidisciplinary teams and are eager to contribute innovative ideas to advance the organization's analytics capabilities.</p> <p> </p> <ul> <li>You’re a passionate professional who thrives at the intersection of the rapidly evolving Generative AI landscape and the complex, high-impact world of high-tech and manufacturing analytics.</li> <li>You have a strong appetite for continuous learning, think creatively, and challenge assumptions with the goal of delivering better solutions.</li> <li>You are detail-oriented, well organized, and have strong time management, verbal communication, and written communication skills.</li> <li>You can motivate others and foster ownership, reliability, teamwork, and commitment across the team.</li> <li>You have excellent interpersonal skills and can build strong relationships with peers and cross-functional teams across the organization.</li> </ul></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Your experience includes:</b></H2> </div><div><p><span style=""><span><span style="Calibri&#39;, sans-serif"><p> </p> <p> </p> <ul> <li>Experience with generative AI tools, techniques, and frameworks such as LangChain, LangGraph, AutoGen, A2A, N8N and advanced RAG architectures.</li> <li>Hands-on industry or research experience developing natural language processing models and training and deploying deep learning solutions using TensorFlow or PyTorch.</li> <li>Strong programming skills in Python.</li> <li>Strong understanding of machine learning algorithms and principles.</li> <li>Experience with cloud platforms such as AWS, Google Cloud, or Azure is a plus.</li> <li>Master’s or PhD degree in Computer Science, Machine Learning Engineering, Statistics, or a related field, or equivalent practical experience.</li> </ul></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="word-wrap:break-word"><H2 style="margin:0.0px"><b>Location:</b></H2> </div><div><p><p> </p> <p>Our Bloomington, MN campus (Normandale) spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site café, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunch time? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments and group workouts. Looking for something more laid back? Reset in one of our meditation rooms, or simply take a walk around our indoor walking path. On-site cultural festivals, celebrations and community volunteer opportunities also abound.</p> <p> </p> <p> </p> <p>The estimated base salary range for this position is $106,000 - $125,000. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training. </p> <p> </p> <p>Seagate offers comprehensive benefits to its eligible employees, including, but not limited to, , eligibility to participate in discretionary bonus program, medical, dental, vision, and life insurance, short-and long-term disability, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts. Seagate also offers paid time off, including 12 holidays, flexible time off provided pursuant to Seagate policy, a minimum of 48 hours of paid sick leave, and 16 weeks of paid parental leave. The benefits for this position are based on a full-time schedule for a full calendar year and may differ depending on work location. </p></p> <p> </p> <p><b>Location</b>: Normandale, United States<br> <b>Travel</b>: None</p></div></div></div>