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Lead AI Engineer - Machine Learning (Pune)
Z5
Pune•On-site•5-8 Yrs•Jun 30
Job description
Overview
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. Lead MLE Developer at ZS
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 masters or bachelors degree in Computer Science or related field from a top university.
- 5+ years hands-on experience in ML development.
- Good fundamentals of machine learning
- Strong programming expertise in Python, PySpark/Scala.
- Expertise in crafting ML Models for high performance and scalability.
- 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.
- Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform;
- 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 in office 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.
- Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
- Role: Data Platform Engineer
- Industry Type: Analytics / KPO / Research
- Department: Engineering - Software & QA
- Employment Type: Full Time, Permanent
- Role Category: Software Development
Education
- UG: B.Tech/B.E. in Any Specialization
- PG: Any Postgraduate
- Skills highlighted with '' are preferred keyskills
- Machine Learning continuous integrationpythonscaladata securitypysparkaws sagemakerci/cdmicrosoft azureazure devopssqlsparkgcpdevopsdata structuresawsbig data 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