Machine Learning Engineer Specialist
Company: Zs Associates
Location: Thousand Oaks
Posted on: May 3, 2024
Job Description:
ZS is a place where passion changes lives. As a management
consulting and technology firm focused on transforming global
healthcare and beyond, our most valuable asset is our people. Here
you'll work side-by-side with a powerful collective of thinkers and
experts shaping solutions from start to finish. At ZS, we believe
that making an impact demands a different approach; and that's why
here your ideas elevate actions, and here you'll have the freedom
to define your own path and pursue cutting-edge work. We partner
collaboratively with our clients to develop products that create
value and deliver company results across critical areas of their
business including portfolio strategy, customer insights, research
and development, operational and technology transformation,
marketing strategy and many more. If you dare to think differently,
join us, and find a path where your passion can change lives.Our
most valuable asset is our people. At ZS we honor the visible and
invisible elements of our identities, personal experiences and
belief systems-the ones that comprise us as individuals, shape who
we are andmake us unique. We believe your personal interests,
identities, and desire to learn are part of your success here.
Learn more about our diversity, equity, and inclusion efforts and
the networks ZS supports to assist our ZSers in cultivating
community spaces, obtaining the resources they need to thrive, and
sharing the messages they are passionate about. Architecture &
Engineering Specialist - ML EngineeringZS's Scaled AIpractice---is
part of ZS's rich and advanced AI ecosystem, in the Architecture &
Engineering Expertise Center, focused on creating---continuous
business value for---clients---using---a range of innovative
machine learning,---deep learning, and engineering
capabilities.------Being part of Scaled AI practice allows you to
collaborate with data scientists to create state-of-the-art AI
models, create and use cutting-edge ML platforms, create and deploy
advanced ML pipelines and manage the complete ML lifecycle.What
You'll Do
- Design and implement technical features leveraging best
practices for technology stack being used
- Collaborate with client-facing teams to understand solution
context and contribute to technical requirement gathering and
analysis
- Work with technical architects on the team to validate design
and implementation approach
- Write production-ready code that is easily testable, understood
by other developers, and accounts for edge cases and errors
- Ensure the highest quality of deliverables by following
architecture/design guidelines, coding best practices, periodic
design/code reviews
- Write unit tests as well as higher-level tests to handle
expected edge cases and errors gracefully, as well as happy
paths
- Uses bug tracking, code review, version control, and other
tools to organize and deliver work
- Participate in scrum calls and agile ceremonies, and
effectively communicate work progress, issues, and
dependencies
- Consistently contribute in researching & evaluating the latest
technologies through rapid learning, conducting proofs-of-concept
and creating prototype solutions
- Support the project architect in designing modules/component of
the overall project/product architecture
- Breaks down large features into estimable tasks lead estimation
and can defend them with clients
- Implement complex features with limited guidance from the
engineering lead. For example service or application-wide
change
- Systematically debug code issues/bugs using stack traces, logs,
monitoring tools, and other resources
- Performs code/script reviews of senior engineers in the
team
- Mentor and groom technical talent within the teamWhat You'll
Bring
- At least 5+ relevant hands-on experience---in deploying
and---productionizing ML---models---at scale---
- Expertise in---Designing, configuring, and using ML Engineering
platforms---like---Sagemaker,---MLFlow,---Kubeflow, or other
platforms---
- Big data - Hive, Spark, Hadoop, queuing system like Apache
Kafka/Rabbit MQ/AWS Kinesis
- Ability to quickly adapt to new technology and be innovative in
creating solutions
- Ability to independently run POCs on new technologies and
document findings to share
- Strong in at least one of the Programming languages - PySpark,
Python or Java, Scala, etc. and Programming basics - Data
Structures
- Hands-on experience in building metadata-driven, reusable
design patterns for data pipeline, orchestration, ingestion
patterns (batch, real-time)
- Experience in designing and implementation of solution on
distributed computing and cloud services platform (but not limited
to) - AWS, Azure, GCP
- Hands-on experience building CI/CD pipelines and awareness of
practices for application monitoringAdditional Skills:
- AWS/Azure Solutions Architect certification with an
understanding of broader AWS/Azure---stack
- Understanding DevOps CI / CD, data security, experience in
designing on cloud platform;
- Willingness to travel to other global offices as needed to work
with the client or other internal project teams Perks & Benefits:ZS
offers a comprehensive total rewards package including health and
well-being, financial planning, annual leave, personal growth and
professional development. Our robust skills development programs,
multiple career progression options and internal mobility paths and
collaborative culture empowers you to thrive as an individual and
global team member.We are committed to giving our employees a
flexible and connected way of working. A flexible and connected ZS
allows us to combine work from home and on-site presence at
clients/ZS offices for the majority of our week. The magic of ZS
culture and innovation thrives in both planned and spontaneous
face-to-face connections.Considering applying?At ZS, we're building
a diverse and inclusive company where people bring their passions
to inspire life-changing impact in global healthcare and beyond. We
are most interested in finding the best candidate for the job and
recognize the value that candidates with all backgrounds, including
non-traditional ones, bring. If you are interested in joining us,
we encourage you to apply even if you don't meet 100% of the
requirements listed above.ZS is an equal opportunity employer and
is committed to providing equal employment and advancement
opportunities without regard to any class protected by applicable
law.To Complete Your Application:Candidates must possess or be able
to obtain work authorization for their intended country of
employment.ZS is committed to providing and maintaining a safe
workplace. In order to keep its employees safe, ZS recommends that
all its employees and contractors be fully vaccinated against
COVID-19. Proof of vaccination can be voluntarily provided upon
acceptance of offer of employment. NO AGENCY CALLS, PLEASE.Find Out
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Keywords: Zs Associates, Thousand Oaks , Machine Learning Engineer Specialist, Engineering , Thousand Oaks, California
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