Workday Looking for Sr. Machine Learning Engineer at Maharashtra Full Time

Job type full-time

Full job description

Do what you loveLove what you do.
At workday, we help the world’s largest organizations adapt to what’s next by bringing finance, hr, and planning into a single enterprise cloudWe work hard, and we’re serious about what we doBut we like to have fun, tooWe put people first, celebrate diversity, drive innovation, and do good in the communities where we live and workAbout the team at workday enterprise data science and advanced analytics teamWe deliver impactful ml models to support growth and optimization needs of sales & marketing, cx , product analytics and finance organizationsWe choose to imagine things made better, and then set out on a journey to realize what’s possibleBy blending design, product engineering, analytics, and automation, we build the custom-built ml models and data products of tomorrowAs a senior ml engineer,, you’ll design and deliver innovative machine learning solutions as part of intelligent products on amazon web services and h2o by using core cloud data science tools, ml ops components, and other big data related technologiesThis includes helping lead and craft projects in their initial phases and deliver them with a teamAdditionally, you’ll collaborate closely with a variety of stakeholders across the workday organization and the enterprise data and architecture teamsAbout the role what you’ll do

Provide machine learning thought leadership and vision internally and to stakeholder organizations.Build a sense of community and encourage a culture of collaboration and curiosity
Implement models and algorithms on aws and h2o
Building tools to accelerate feature experimentation and exploration with lineage, data privacy protection and model performance debugging.
Building ml-as-a-service, with the purpose of taking experiments to production
Write in python or other languages to deliver a wide variety of machine learning & data science solutions
Recommend and implement architecture to deploy machine leaning pipelines and ci/cd processes at scale
Stay abreast of new tools, packages, and machine learning techniques while consistently pushing the limit of what is possible to deliver the best solutions for clients
Manage aws assets including compute, storage , id management.
Collaborate with product owners to apply workday’s agile processes and be responsible for the initiation, delivery, and communication of projects for the stakeholder organizations
Ensure the delivery of successful outcomes for staffed teams
Staff, lead, and mentor data scientists, machine learning practitioners and engineers
Share learnings and project findings with the wider workday machine learning community
Willing to work across multiple time zones.

About you basic qualifications:

7+ years of technology industry experience
3 – 4+ years of experience implementing models or machine learning algorithms in production
Proficient experience writing sql
Experience leading a data science or other technical team
Experience on any of these cloud platforms (aws, azure, gcp)
Experience developing models and other data science work with python (preferred) or r

Other qualifications:

(preferred) familiarity with ml ops pipelines or ci/cd implementations
(preferred) familiarity with feature store implementation and operationalization
(optional) quantitative graduate degree
(optional) one or more of the following other languages: python, r, javascript, go, spark
(optional) experience acting as a project manager

Are you being referred to one of our roles? if so, ask your connection at workday about our employee referral process!

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Posted 30+ days ago