Address- Bengaluru, India
- India
- BHCA Products
- BHCA - Engineering
- 19215
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
ZS’s Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale.
Role Overview
Responsibilities:
- Build, Refine and Use ML Engineering platforms and components.
- Scaling Machine Learning algorithms to work on massive data sets and strict SLAs.
- Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training.
- Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop.
- Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering.
- Implement basic features aligning with technical requirements.
- 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.
- 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 latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions.
Qualifications:
- A master's or bachelor’s degree in Computer Science or related field from a top university.
- 4+ years’ hands-on experience in ML development.
- Good understanding of the fundamentals of Machine Learning
- Strong programming expertise in Python, PySpark/Scala.
- 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, experience working with MLFlow
- Experience with Spark or other distributed computing frameworks.
- Experience in ML platforms like Sage maker, Kubeflow.
- Experience with pipeline orchestration tools such Airflow.
- Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML.
- Expertise in SQL, SQL DB's.
- Knowledgeable of core CS concepts such as common data structures and algorithms.
- Collaborate well with teams with different backgrounds / expertise / functions.
Additional Skills
- Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform;
- Experience in data engineering in Big Data systems
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.
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