Senior Data Engineer

India

The ECDO – Enterprise Chief Data Office – is looking for an experienced data engineer, with knowledge and experience in the area of analytics, data science, machine learning & big data, to support the evolution of our MLOps platforms.

  • Design, develop and implement AIML Data platform using Cloud architecture with structured and unstructured data sources.
  • Analyses technical requirements provided by solution architect and translates them into implementable software designs and configurations. Evaluates possibilities with different technologies and platforms.
  • Follows agile and/or PM practices. Reports the progress of Sprints.
  • Provides technical guidance for projects or solution designs.
  • Participates in prototyping, pilots and PoC’s.
  • Provide production support right after the move into production.
  • Proactively follows the digital market technologies and trends and innovation.
  • Inspect and verifies the quality of the Releases before delivery.
  • Analyze ideas and demands for technology and architectural fit and provides technical estimates that can be used by program owner for cost/benefit analysis. Codes, develops, build and propose detailed technical solutions utilizing existing or new technologies.

 

  • Bachelor’s degree in computer science, IT, related fields with min 7yrs of experience of relevant experience
  • Experience in MLops and excellent understanding of machine learning framework.
  • Linux Admin and scripting
  • Good knowledge of data warehousing, Data architecture, coding (Python).
  • Hands-on with data science, statistical modelling
  • Hands-on Experience on K8s
  • Understanding of Golang
  • Working experience with Opensource Machine learning tools.
  • Experience in working in Agile environment 
  • Strong knowledge and hands-on experience with CI/CD 
  • Experience in cloud technologies/cloud computing (GCP, Azure, or AWS)/ on premise
  • Relevant Knowledge in continuous monitoring (include alerting tools) of the models or risk assessment (Model drift, Concept drift, data drift)
  • Basic knowledge of telecom domain.
     

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

  • One of the World’s Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Architecture AWS Azure Big Data CI/CD Computer Science Data Warehousing GCP Golang Kubernetes Linux Machine Learning MLOps Prototyping Python Statistics Unstructured data

Region: Asia/Pacific
Country: India

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