FULL-STACK MLOPS SYSTEMS ENGINEERING LEAD
Company: Accenture
Location: Raleigh
Posted on: September 28, 2024
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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
requirementsHere'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 roleMinimum of 4 years of
experience in Linux Systems Administration, including kernel
tuning, networking, and storageMinimum 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
environmentMinimum of 12 months of experience with IaC tools, e.g.
TerraformExcellent problem-solving and analytical skillsBonus
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 APIsExperience with
parallel file systems, e.g. Lustre, GPFS, WekaExperience 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.
(https://www.accenture.com/us-en/careers/local/total-rewards)Role
Location Annual Salary RangeCalifornia $131,100 to $302,400Colorado
$131,100 to $261,300District of Columbia $139,600 to $278,200New
York $121,400 to $302,400Maryland $121,400 to $241,900Washington
$139,600 to $278,200What We BelieveWe 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
(https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)Equal
Employment Opportunity StatementAccenture 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
(https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50)
.Requesting An AccommodationAccenture 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
(https://www.accenture.com/us-en/about/contact-us) or speak with
your recruiter.Other Employment StatementsApplicants 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, Raleigh , FULL-STACK MLOPS SYSTEMS ENGINEERING LEAD, Other , Raleigh, North Carolina
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