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Machine Learning Engineer - Deep Learning/R

3.00 to 9.00 Years   Bangalore   03 Feb, 2023
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaEngineering Design / Construction
EmploymentTypeFull-time

Job Description

    Job Title : MLOps EngineerLocation : BangaloreExperience : 3 - 9 yearsNotice period : 30 days Mandatory Skills :- CI/CD, ML- DevOps, Git- AWS CodeBuild, CodePipeline- Jenkins, AWS CloudFormation- Python, R, AgileRoles and responsibilities :- 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development- Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others- Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.- Strong programming skillset with high proficiency in Python, R, etc.- Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.- Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop- Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks- Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams- Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.- Willing to flex daily work schedule to allow for time-zone differences for global team communications- Strong interpersonal and communication skillsWhat We- re Looking For :- Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.- Time management skills - Ability to manage multiple projects and designs at once with changing requirements during the intake process- Experience working in anAgile environment- Strong communication skills - ability to interact with business users and executives.,

Keyskills :
strong communication skillsbig dataapache sparkdeep learningdata preparationmanagement skillsparallel processingalgorithm developmentawsgitgluespark

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