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Full Stack MLOps Engineer

Accenture

Accenture

Software Engineering
Posted on Wednesday, June 5, 2024
You Are seeking a highly motivated and technically skilled MLOps Engineer to join our team in supporting our large-scale GPU-based AI training and research cluster hosted on AWS The Work You (MLOps Engineer) will participate in the design, development, and operational management of cloud-native computing clusters to perform ML training and inference You’ll help users configure and manage their Conda environments, optimizing them for their specific AI training and research needs As a MLOps Engineering, you will design, deploy, and maintain cloud infrastructure with infrastructure-as-code (IaC) ...

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
We are seeking a highly motivated and technically skilled MLOps Engineer to join our team in supporting our large-scale GPU-based AI training and research cluster hosted on AWS. The ideal candidate should have a strong foundation in Linux and a solid understanding of operating systems and be able to communicate effectively with highly technical users on a wide range of technical topics.

The Work
You (MLOps Engineer) will participate in the design, development, and operational management of cloud-native computing clusters to perform ML training and inference. You will assist ML engineering teams 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 users configure and manage their Conda environments, optimizing them for their specific AI training and research needs. As a MLOps Engineering, you will design, deploy, and maintain cloud infrastructure with infrastructure-as-code (IaC) tools such as Terraform, AWS CDK.

Our 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

  • Minimum of 1 year experience with at least three of the following: Linux Systems Administration, Python, Docker / Kubernetes, C++, NVIDIA SMI

  • Minimum of 2 years of experience in a platform engineering or developer role

  • Minimum of 3 months of experience with IaC tools, e.g. Terraform

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

Bonus points if you have

  • Experience in Artificial Intelligence (AI), Large Language Model (LLM), or High Performance Computing (HPC)

  • Strong proficiency in Linux, with a deep understanding of operating systems at the kernel level

  • Knowledge of AWS services, particularly EC2, FSx, and S3

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

  • Experience developing and maintaining cloud infrastructure with Terraform

  • Experience with Conda and managing Python environments.

  • Excellent problem-solving and analytical skills

  • 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, 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 $73,000 to $192,600

Colorado $73,000 to $166,400

New York $67,600 to $192,600

Washington $77,700 to $177,200

#LI-NA

#LI-MP

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