Senior MLOps Software Engineer
Company: Boeing
Location: North Charleston
Posted on: September 8, 2023
Job Description:
Job Description At Boeing, we innovate and collaborate to make
the world a better place. From the seabed to outer space, you can
contribute to work that matters with a company where diversity,
equity and inclusion are shared values. Were committed to fostering
an environment for every teammate thats welcoming, respectful and
inclusive, with great opportunity for professional growth. Find
your future with us. Boeing Enterprise Software AI/ML Center (BEAC)
is seeking MLOps Software Engineers (Mid-Level and Senior). As a
Software Engineer for our MLOps team, you will be responsible for
designing, building, and maintaining the foundational
infrastructure environments and tool chain that support our Machine
Learning Operations (MLOps) services. You will work closely with
our data scientists, software engineers, and DevOps team to ensure
that our MLOps services are reliable, scalable, and performant.
Your primary goal is to help the team deliver high-quality MLOps
services to our consumers by leveraging Kubernetes and other
related technologies. The locations available for this position are
listed below: Huntington Beach, California, El Segundo, Caliornia,
Long Beach California, Arlington, Virginia, Fairfax, Virginia,
Herndon, Virginia, Berkeley, Missouri, Hazelwood, Missouri, and
Charleston, South Carolina. Position Responsibilities:
- Design, build, and maintain solutions that support our MLOps
services on cloud (AWS, Azure, GCP)
- Collaborate with the data science, engineering, and DevOps
teams to ensure that our MLOps services are integrated with the
infrastructure
- Automate the deployment, scaling, and monitoring of MLOps
services using Kubernetes and related technologies such as Helm,
Istio, and Prometheus
- Implement security and compliance controls MLOps services
- Optimize the performance and reliability of MLOps services
through monitoring, logging, and performance testing
- Develop and maintain documentation, training materials, and
best practices for the solution
- Collaborate with other teams and stakeholders to ensure that
MLOps services meet their requirements and expectations This
position is hybrid. This means that the selected candidate will be
required to perform some work onsite at one of the listed location
options. This is at the hiring teams discretion and could
potentially change in the future. This position must meet export
control compliance requirements. To meet export control compliance
requirements, a U.S. Person as defined by 22 C.F.R. 120.15 is
required. U.S. Person includes U.S. Citizen, lawful permanent
resident, refugee, or asylee. To be considered for this position
you will be required to complete a technical assessment as part of
the selection process. Failure to complete the assessment will
remove you from consideration. Basic Qualifications (Required
Skills/Experience):
- Bachelor, Master or Doctorate of Science degree from an
accredited course of study, in engineering, computer science,
mathematics, physics or chemistry
- 3+ years of experience with DevOps
- 3+ years of experience developing software products in a cloud
computing environment e.g. Azure/AWS/Google Cloud
- Experience with Docker
- Experience with technologies such as Kubernetes, Istio,
Rancher, Git, Helm, Ansible, Chef, Docker, Prometheus, Grafana, and
AppDynamics
- Experience working with Java, Python, Go Perl or Ruby
- Experience with Linux
- Experience in Data Science
- Experience with Terraform Preferred Qualifications (Desired
Skills/Experience):
- 5 or more years' related work experience or an equivalent
combination of education and experience
- Experience with MLOps Frameworks like ClearML, Kubeflow,
MLFlow, Airflow etc
- Experience in using AWS, MS Azure or GCP services
- Experience in angular
- Experience in Postgres, Redis, GCP, Kafka, Python, R, SQL and
NoSQL Databases, Spark, Scikit-Learn, Keras/TensorFlow, PyTorch,
AWS Cloud, Lambda & Step functions, Docker, CI/CD Pipelines, Git,
and developing APIs
- Experience building and scaling systems both on premise and the
cloud
- Expertise in developing AI/ML Platforms
- Experience with building ML infrastructure, writing production
level code, & deploying Machine Learning models
- Experience in a technical leadership position
- Experience architecting, developing and deploying
internet-scale, distributed, and critical services
- Experience working on complex problems and systems where
scalability and performance Typical Education/Experience: Mid-Level
(Level 3): Education/experience typically acquired through advanced
technical education from an accredited course of study in
engineering, computer science, mathematics, physics or chemistry
(e.g. Bachelor) and typically 5 or more years' related work
experience or an equivalent combination of technical education and
experience (e.g. PhD, Master+3 years' related work experience). In
the USA, ABET accreditation is the preferred, although not
required, accreditation standard. Senior Level (Level 4):
Education/experience typically acquired through advanced technical
education from an accredited course of study in engineering,
computer science, mathematics, physics or chemistry (e.g. Bachelor)
and typically 9 or more years' related work experience or an
equivalent combination of technical education and experience (e.g.
PhD+4 years' related work experience, Master+7 years' related work
experience). In the USA, ABET accreditation is the preferred,
although not required, accreditation standard Relocation: This
position offers relocation based on candidate eligibility. Drug
Free Workplace: Boeing is a Drug Free Workplace where post offer
applicants and employees are subject to testing for marijuana,
cocaine, opioids, amphetamines, PCP, and alcohol when criteria is
met as outlined in our policies. Shift: This position is for 1st
shift. At Boeing, we strive to deliver a Total Rewards package that
will attract, engage and retain the top talent. Elements of the
Total Rewards package include competitive base pay and variable
compensation opportunities. The Boeing Company also provides
eligible employees with an opportunity to enroll in a variety of
benefit programs, generally including health insurance, flexible
spending accounts, health savings accounts, retirement savings
plans, life and disability insurance programs, and a number of
programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee
may vary depending on eligibility factors such as geographic
location, date of hire, and the applicability of collective
bargaining agreements. Please note that the salary information
shown below is a general guideline only. Pay is based upon
candidate experience and qualifications, as well as market and
business considerations. Summary pay range for Mid-Level:
California and Virginia: 112,200 151,800 Missouri and South
Carolina: 104,550 141,450 Summary pay range for Senior Level:
California and Virginia: 130,900 177,100 Missouri and South
Carolina: 122,400 165,600 Export Control Requirements: U.S.
Government Export Control Status: This position must meet export
control compliance requirements. To meet export control compliance
requirements, a U.S. Person as defined by 22 C.F.R. 120.15 is
required. U.S. Person includes U.S. Citizen, lawful permanent
resident, refugee, or asylee. Export Control Details: US based job,
US Person required
Equal Opportunity Employer: Boeing is an Equal Opportunity
Employer. Employment decisions are made without regard to race,
color, religion, national origin, gender, sexual orientation,
gender identity, age, physical or mental disability, genetic
factors, military/veteran status or other characteristics protected
by law. by Jobble
Keywords: Boeing, Summerville , Senior MLOps Software Engineer, IT / Software / Systems , North Charleston, South Carolina
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