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Principal Machine Learning Engineer

5.00 to 7.00 Years   Bangalore   20 Aug, 2020
Ericsson India Global Services Pvt Ltd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryTelecom / ISP
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Key Responsbilities:

  • Lead multiple productization/deployment projects within a certain product/business.
  • Manage communication, planning andcollaboration with business
  • Design, and implement horizontally scalable solutions, optimizing insight delivery & exposing them as microservices.
  • Convert stand-alone code to work in parallel/distributed environments.
  • Design & develop monitoring framework & leverage it to help troubleshoot/optimize deployments
  • Contribute to IP creation for Ericsson in AI/ML
  • Assist in building and optimizing ML code - converting code to deploy in edge quantization of deep learning models, mobile/low footprint code development, etc.
Key Qualifications:
  • Bachelors/Masters/Ph.D. in Computer Science, Information Systems, Data Science, Artificial Intelligence, Machine Learning, Electrical Engineering or related disciplines from any of the reputed institutes.
  • Overall industry experience of around 15+ years, at least 8 years experience in developing & productizing large-scale systems especially in the data science space.
  • 8+ years of experience in the following:
  • Software/tools: Hadoop, Spark, Kafka, etc.
  • Relational SQL and NoSQL databases, including Postgres and Cassandra.
  • ML & data pipeline and workflow management tools: Azkaban, Luigi, Airflow, Dataiku, etc.
  • Stream-processing systems: Storm, Spark-Streaming, etc.
  • Object-oriented/object function scripting languages: Python, Java, Scala (Advanced level in one language, at least)
  • Experience deploying, debugging and optimizing ML models to handle & scale to big data.
  • Experience developing SaaS with deep knowledge in designing for cloud
  • Good knowledge in algorithms & data structures, especially for handling large-scale data
  • Experience working in ML frameworks such as Tensorflow, PyTorch, etc
  • Experience converting code to work in parallel/distributed environments
  • Experience converting code to deploy in edge - quantization of deep learning models, mobile/low footprint code development, etc.
  • Strong analytic skills related to working with unstructured datasets.
  • Good understanding of model validation techniques/metrics
  • Design APIs for AI/ML models with focus on business, modularity and versioning
  • Working knowledge of message queuing, stream processing, and highly scalable big data stores.
  • Experience with Docker containers, orchestration systems (e.g. Kubernetes), continuous integration and job schedulers.
  • Knowledge of server-less architectures (e.g. Lambda, Kinesis, Glue).
  • Experience with cloud native technologies, microservices design and REST APIs.
  • Familiar with agile development and lean principles.
  • Contributor or owner of GitHub repo.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
Soft Skills:
  • Good communication skills in written and spoken English
  • Creativity and ability to formulate problems and solve them independently
  • Ability to build and nurture internal and external communities
  • Experience in writing and presenting white papers, journal articles and technical blogs on the results
Additional Requirements:
  • Applications/Domain-knowledge in Telecommunication and/or IoT, a plus.
  • Experience with data visualization and dashboard creation is a plus
  • Ability to work independently with high energy, enthusiasm and persistence
  • Experience in partnering and collaborative co-creation, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence
What s in it for you ,

Keyskills :
european works councilsbig datadata sciencehuman rightswhite papersdeep learningspoken englishbusiness unitsdata structurescomputer scienceunited nations

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