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Full-Stack MLOps Systems Engineering Lead

Company: Accenture
Location: Bentonville
Posted on: July 8, 2024

Job Description:

This is a Senior Manager/Associate Director-level position:

We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that enable clients to design, build, launch and optimize high-performance computing environments. Nextira joined the Accenture AWS Business Group and our AWS North America delivery practice in June 2023. The Accenture AWS Business Group is part of Accenture Cloud First, Accenture's industry-leading business group focused on redefining how organizations operate and create value by using cloud, data, and artificial intelligence for total enterprise reinvention. Accenture Cloud First spans more than 141,000 cloud professionals from across Accenture with more than 124,000 cloud certifications.

You Are:

An experienced, highly motivated MLOps Engineering Lead looking to join our team in supporting our large-scale GPU-based AI training and research cluster hosted on various cloud providers such as AWS, Azure, and GCP. The ideal candidate should have expert knowledge of Linux at the kernel level and be able to configure and troubleshoot NVIDIA drivers and utilities, particularly on virtual machines running in the cloud. The candidate should be able to use their expertise to guide experienced ML engineers in their efforts to train large AI models in the cloud.

The Work:

You (Full Stack MLOps Engineering Lead) will lead the design, development, and operational management of cloud-native computing clusters to perform ML training and inference. You will lead the development and delivery of tooling needed to optimize performance and troubleshoot issues with their training workloads.

You will manage HPC (High Performance Computing) clusters, including schedulers such as Slurm, and compute nodes accelerated with NVIDIA GPUs. You'll help experienced ML engineers configure and manage their Conda environments, optimizing them for their specific AI training and research needs. As a MLOps Engineering Lead, you will design, deploy, and maintain cloud infrastructure with infrastructure-as-code (IaC) tools such as Terraform, AWS CDK.

Our Senior MLOps Engineers engage in clear and effective communication with highly technical users, providing support and guidance on a wide range of technical topics related to the cluster while utilizing their strong Linux skills to troubleshoot and resolve issues, optimize system performance, and ensure a stable and reliable environment for AI training and research.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements

Here's What You Need (Basic Qualifications):

  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years of work experience)

  • Minimum of 6 years of professional experience working in a software engineering or DevOps role

  • Minimum of 4 years of experience in Linux Systems Administration, including kernel tuning, networking, and storage

  • Minimum of 3 years of experience with at least three of the following: Python, Docker / Kubernetes, C++, GPU stack (e.g. CUDA, SMI, ROCM)

  • Minimum of 4 years of experience in a platform engineering or developer role in a cloud environment

  • Minimum of 12 months of experience with IaC tools, e.g. Terraform

  • Excellent problem-solving and analytical skills

    Bonus points if you have (Preferred Qualifications):

    • Experience in MLOps, Artificial Intelligence (AI), Large Language Models (LLMs), or High Performance Computing (HPC)

    • Experience with full-stack application development, particularly using cloud provider APIs

    • Experience with parallel file systems, e.g. Lustre, GPFS, Weka

    • Experience with managing virtualized Python environments, e.g. conda, pyenv.

    • Experience working in a consulting environment, engaging with client stakeholders at a senior level.

    • Experience leading a team of cloud platform engineers.

    • Strong written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

      Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.

      We accept applications on an on-going basis and there is no fixed deadline to apply.

      Information on benefits is here.

      Role Location Annual Salary Range

      California $131,100 to $302,400

      Colorado $131,100 to $261,300

      District of Columbia $139,600 to $278,200

      New York $121,400 to $302,400

      Maryland $121,400 to $241,900

      Washington $139,600 to $278,200

      What We Believe

      We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

      Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here

      Equal Employment Opportunity Statement

      Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

      All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

      Accenture is committed to providing veteran employment opportunities to our service men and women.

      For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement .

      Requesting An Accommodation

      Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

      If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

      Other Employment Statements

      Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

      Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

      Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

      The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Keywords: Accenture, Rogers , Full-Stack MLOps Systems Engineering Lead, Other , Bentonville, Arkansas

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