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 design; Model deployment and reusability; Containerization; Data science techniques and tooling; Orchestration and CI / CD.Responsibilities and DutiesUse expertise in machine learning, NLP, and other big data techniques to identify and extract insights from data;Maintain the platform for data science including shared namespaces, and ensure data availability for data science downstream teams;Design and enhance models with a focus on model performance and scalability;Develop re-deployable and containerized models;Manage, maintain, and oversee model pipelines on the Databricks platform;Ensure models meet required security and compliance guidelines, and PII management;Adhere to Agile development cycles;Adhere to version control and SDLC best practices.Required SkillsExperience in data science;Hands-on experience with and understanding of the following:Databricks;MLFlow;Strong coding proficiency in Python or other programming languages;Understanding of ML frameworks (TensorFlow / PyTorch);Distributed computing (Spark / Scala);Kafka;Airflow;Agile;Git and version control.About 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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