Description
Job Mode : CLT
Work Mode : Work from home
Job Summary
This 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 Duties
* Use 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 Skills
* Experience 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 Encora
Encora 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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