ZS Associates - San Diego, CA

posted about 1 month ago

Full-time - Entry Level
Remote - San Diego, CA
Professional, Scientific, and Technical Services

About the position

ZS is a management consulting and technology firm focused on improving life and how we live it. Our most valuable asset is our people, and we work side-by-side with a powerful collective of thinkers and experts to shape life-changing solutions for patients, caregivers, and consumers worldwide. ZSers drive impact by bringing a client-first mentality to each engagement, partnering collaboratively with clients to develop custom solutions and technology products that create value and deliver results across critical business areas. We honor the visible and invisible elements of our identities and believe that personal interests and identities are part of success at ZS. The Machine Learning Engineer role in the AI Practice involves building transformative AI-enabled data products and solutions. The suite of products includes hyper-personalization, customer journey design, AI-guided selling, large-scale unstructured customer data mining with NLP, and dynamic pricing. Our products and client-focused solutions utilize state-of-the-art ML and Deep Learning techniques and ML Engineering Platforms.

Responsibilities

  • Build, orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model training
  • Scale machine learning algorithms to work on massive data sets and strict SLAs
  • Build & enhance ML Engineering platforms and components
  • Implement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loop
  • Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors
  • Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews
  • Collaborate with client teams and global development team to successfully deliver projects
  • Use bug tracking, code review, version control and other tools to organize and deliver work
  • Participate in scrum calls, and effectively communicate work progress, issues and dependencies
  • Consistently contribute to researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions.

Requirements

  • Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or another computer related discipline
  • 2-4 years' experience in deploying and productionizing ML models
  • Strong programming expertise in Python / PySpark
  • Experience in ML platforms like Dataiku, Sagemaker, MLFlow or other platforms
  • Experience in deploying models to cloud services like AWS, Azure, GCP
  • Expertise in crafting ML Models for high performance and scalability
  • Experience in implementing feature engineering, inferencing pipelines and real time model predictions
  • Experience in ML Ops to measure and track model performance
  • Good fundamentals of machine learning and deep learning
  • Knowledgeable of core Computer Science concepts such as common data structures, algorithms, and design patterns
  • Excellent oral and written communication skills

Nice-to-haves

  • Experience with Spark or other distributed computing frameworks
  • Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform
  • Experience in data engineering in Big Data systems

Benefits

  • Comprehensive total rewards package including health and well-being
  • Financial planning
  • Annual leave
  • Personal growth and professional development
  • Robust skills development programs
  • Multiple career progression options
  • Internal mobility paths
  • Flexible and connected way of working
  • Combination of work from home and on-site presence at clients/ZS offices
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