Required Skills

Data scientist

Work Authorization

  • US Citizen

  • Green Card

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 12th May 2022



Machine Learning Engineer What you’ll do: Challenges you will work on: Design and develop business-critical backend systems using stream processors and high-quality data pipelines. Work in a cross-functional team of engineers and scientists to design and code large-scale batch and real-time data pipelines. Assemble large, complex data sets that meet functional / non-functional business requirements. Build a cloud-native, real-time stream processing & data lake platform that scales into the Petabytes and beyond. Perform code reviews, and lead by example on code refactoring for readability, extensibility, and testability Lead your products, with a focus on DevOps and robust automation Build processes that support data transformation, workload management, data structures, dependency, and metadata Who you are: We are looking for a candidate with 5+ years of experience in a Software Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:  Strong verbal and written communication skills Experience with object-oriented/object function scripting languages: Java,  Kotlin, Scala, Python, etc. Experience with big data tools: Spark, Kafka, etc. Experience with AWS cloud services: EC2, S3 Experience with stream-processing systems: Spark-Streaming, etc. Experience with microservice architecture, and design. Familiarity with Statistics and Machine Learning with work experience in online and offline training and inferencing  Strong command with machine learning libraries such as PyTorch and Tensorflow and knowledge of common integration patterns for serving inference with them Experience with containierization technologies Docker, Kubernetes

Company Information