Must have 4+ years of experience in Design, Development, Testing, and Deployment: Lead the creation of scalable Data & AI applications using best practices in software engineering such as automation, version control, and CI/CD. Develop and implement rigorous testing strategies to ensure application reliability and performance. Oversee deployment processes, addressing issues related to configuration, environment, or security.

Engineering and Analytics: Translate Data & AI use case requirements into effective data models and pipelines, ensuring data integrity through statistical quality procedures and advanced AI techniques.

API & Microservice Development: Architect and build secure, scalable microservices and APIs, ensuring broad usability, security, and adherence to best practices in documentation and version control.

Platform Scalability & Optimization: Evaluate and select optimal technologies for cloud and on-premise deployments, implementing strategies for scalability, performance monitoring, and cost optimization.

Knowledge of machine learning frameworks (TensorFlow, PyTorch, Keras)

Understanding of MLOps (machine learning operations) and continuous integration/deployment (CI/CD)

Familiarity with deployment tools (Docker, Kubernetes)

Technologies: Demonstrate expertise with Data & AI technologies (e.g., Spark, , Databricks), programming languages (Java, Scala, SQL), API development patterns (e.g., HTTP/REST, GraphQL), and cloud platforms (Azure)

Good to have skills:

Technologies: Demonstrate expertise with Data & AI technologies (e.g.Kafka, , Snowflake), programming languages (Python, SQL), API development patterns (e.g., HTTP/REST, GraphQL).

Location:

IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg

Job ID R-72059 Date posted 06/26/2025

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Analyst Data/AI Engineering (ML/AI & Databricks)