DescriptionJob Mode : CLTWork Mode : Work from homeJob SummaryThis role will be responsible for data science and ML Ops on the Databricks platform. This role requires a deep understanding of:MLOps processes and designModel deployment and reusabilityContainerizationData science techniques and toolingOrchestration and CI/CDResponsibilities and DutiesUse expertise in machine learning, NLP, and other big data techniques to identify and extract insights from dataMaintain the platform for data science including shared namespaces, and ensure data availability for data science downstream teamsDesign and enhance models with a focus on model performance and scalabilityDevelop re-deployable and containerized modelsManage, maintain, and oversee model pipelines on the Databricks platformEnsure models meet required security and compliance guidelines, and PII managementAdhere to Agile development cyclesAdhere to version control and SDLC best practicesExperience in data scienceHave hands-on experience with and understanding of the following:DatabricksMLFlowStrong coding proficiency in Python or other programming languagesUnderstanding of ML frameworks (TensorFlow/PyTorch)Distributed computing (Spark/Scala)KafkaAirflowAgileGit and version controlAbout EncoraEncora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies.With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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