
Machine Learning Engineer
4 weeks ago
Experience - 3 to 6 Years
Qualification - Graduate (B.E/B Tech)
JD .
- Lead the architecture, design, and development of components and services to enable Machine Learning at scale
- Build data sets from multiple data sources and write data flows using Python and R, SQL/Spark
- Exposure to Streaming/Event based architecture
- Implementing analytic models on Big data infrastructure
- Stay up-to-date on ML, Big Data technologies sharing learnings with the teams
- Build reusable code and libraries for future use and optimize application for maximum speed and scalability
- Integration of user-facing elements developed by front-end developers with server-side logic
- Implementation of security and data protection measures
- Exposure in at least one cloud platform on related data services (AWS / Azure / GCP)
Skills – (highlighted are mandatory skill)
- Python, R,
- SQL,
- Spark,
- Hadoop, Big data tool,
- NodeJS,
- Javascript
Job Responsibility:
- Apache Spark experience a major plus (Spark RDDs, Spark DataFrames, Spark SQL)
- Leverage Spark ecosystem knowledge to design, and develop capabilities to deliver solutions using Scala, Python, Kafka and other things in the Spark ecosystem
- Expert in Python, R, NodeJS framework
- Good understanding in front-end technologies, such as angular, JavaScript, HTML5, and CSS3
- Should design the solution Approach and Come out with optimized effort estimates.
- Defining the technical specifications for the implementation of the frontend and backend solution
- Should be able to create extensible APIs and scalable python modules
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