Ericsson Recruitment 2023 | Automation Engineer

Ericsson Recruitment 2023 | Automation Engineer!

Ericsson Recruitment 2023 for Automation Engineer!. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.

About Ericsson

Ericsson is a global leader in telecommunications and information technology, providing innovative solutions and services to empower communication networks worldwide. With a rich history spanning over a century, Ericsson has played a pivotal role in shaping the digital landscape and revolutionizing the way people connect and communicate. 

Ericsson Recruitment 2023

Company nameEricsson
Job RoleAutomation Engineer!
Work LocationNoida, Kolkata
Job TypeFull time
ExperienceGood scripting and programming skills in Python.
QualificationA degree in Computer Science, Engineering, or a relevant field is preferred
BatchNot Mentioned
Package7 – 13 LPA (Expected)

Job Description

Ericsson is currently seeking Automation Engineers for an open position!

Candidate Responsibilities:

  1. Develop and maintain an advanced data ecosystem to facilitate the generation of valuable data-driven business insights.
  2. Extract and analyze relevant data from various sources.
  3. Utilize machine learning tools to choose features and construct and enhance classifiers.
  4. Conduct preprocessing of both structured and unstructured data.
  5. Propose effective solutions and strategies to address business challenges.
  6. Collaborate closely with both Business and IT teams.
  7. Enhance data collection procedures to include information crucial for building analytical systems.
  8. Process, clean, and validate the integrity of data intended for analysis.
  9. Perform ad-hoc analysis and present findings clearly.


  1. A degree in Computer Science, Engineering, or a related field is preferable.
  2. Demonstrated experience as a Data Analyst or Data Scientist.
  3. Proficiency in scripting and programming using Python.
  4. Knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, and Pig is a plus.
  5. Strong familiarity with machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, Decision Forests, and more.
  6. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, and similar tools.
  7. Practical experience with NoSQL databases, such as MongoDB and Cassandra.
  8. Hands-on familiarity with data science tools.
  9. Strong problem-solving skills, analytical thinking, and a sound understanding of business concepts.

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