Machine Learning Engineer

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. We believe that making an impact demands a different approach; that's why 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 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.

Machine Learning Engineer - AI Practice

ZS AI Practice is building transformative AI-enabled data products and solutions. Our 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 solutions use state-of-the-art ML and deep learning techniques and ML engineering platforms.

What You'll Do:

• 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.
  • Enhance ML engineering platforms and components.
  • Implement ML Ops including model KPI measurements, tracking, data and model drift, and model feedback loop.
• Write production-ready code that is easily testable, understandable by other developers, and accounts for edge cases and errors.
  • Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, and conducting periodic design/code reviews.
  • Collaborate with client teams and a 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.
• Contribute to researching and evaluating the latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts, and creating prototype solutions.

What You'll Bring:

• Education: Bachelor's or Master's degree with specialization in Computer Science, MIS, IT, or another computer-related discipline.
• Experience: 2-4 years in deploying and productionizing ML models.
• Technical Skills:
  • 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 and real-time model predictions.
  • Good fundamentals of machine learning and deep learning; knowledgeable of core computer science concepts such as common data structures, algorithms, and design patterns.
• Additional Skills:
  • Experience with Spark or other distributed computing frameworks.
  • Understanding of DevOps, CI/CD, data security, and experience in designing on cloud platforms.
  • Experience in data engineering in Big Data systems.

Perks & 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, and internal mobility paths within a collaborative culture.
• Flexible working arrangements combining work from home and on-site presence as needed, promoting 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 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. We recommend that all employees and contractors be fully vaccinated against COVID-19, with proof of vaccination being voluntarily provided upon acceptance of an offer of employment.

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