Machine Learning Engineer Specialist

  • California
  • Zs Associates
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 and

make 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.

Learn more

Architecture & Engineering Specialist – ML Engineering ZS's Scaled AI

practice 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 team What

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 monitoring Additional 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 More At:

www.zs.com #J-18808-Ljbffr