Machine Learning Ops
6 months ago
**Machine Learning Ops**:
At Cognizant, our global community sets us apart—an energetic, collaborative and inclusive workplace where everyone can thrive. And with projects at the forefront of innovation, you can build a varied, rewarding career and draw inspiration from dedicated colleagues and leaders. Cognizant is right where you belong.
**About the Practice (Artificial Intelligence & Analytics)**
We at AIA help our clients Rethink, Reimagine and Reinvent their business processes. Building a technology platform that is the foundation for innovation, faster time-to-market, and a thriving ecosystem.
**What you will do**:
- Guide team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions in GCP
- Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments.
- Analyze and understand Big Data and analytical technologies on GCP and provide leadership to clients and team members with defining their architecture components for data and analytics.
- Work with implementation teams from concept to operations, providing deep technical domain expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud.
- Collaborate with multi-functional teams to identify and implement AI-driven solutions for property and casualty insurance processes.
**What you bring to the role**:
- Minimum 2 years of designing and implementing data engineering, ingestion and curation functions on GCP cloud using GCP native or any other cloud technologies.
- Proficiency in NLP and familiarity with GCP are highly desirable, enhancing the teams' capability to deliver powerful solutions.
- Knowledge on Google services to build data pipelines and leverage intelligence.
**Working Arrangements**:
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in our client's office in Mississauga, ON. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
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