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Machine Learning Engineer Specialist - Thousand Oaks California
Company: Zs Associates Location: Thousand Oaks, California
Posted On: 05/04/2024
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:
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