GSPANN is headquartered in Milpitas, California (U.S.A.), and has served as a trusted business partner for many Fortune 500 brands. We offer market-competitive pay and benefits along with a flexible working environment. Our employees benefit from continuous tailored training throughout their professional journeys to enhance their skills and facilitate their career development.For more details please visit www.gspann.com.

Position :

Associate Software Engineer - Data Science

Job Location :

Hyderabad / Gurugram

Interview Location :

Bangalore ( Interview date will be informed )

Job Description :

Job Type : Permanent

  • Understand customer requirements and develop high-quality machine learning (ML)-based models using Python or R.
  • Check data quality; collect, understand, and clean data according to project requirement.
  • Understand the data and provide insights about the data using statistical techniques.
  • Extract, collect, and create features according to project requirements.
  • Evaluate and test the ML models using different metrics and build ensemble models.
  • Conduct penetration testing of RESTful web services.
  • Deploy ML models into production using a defined architecture.
  • Deliver large analytical solutions with business impact.
  • Conduct CI/CD of ML models in production.

Eligibility Criteria :

  • Experience Required : 0- 2 Years
  • Education : B.E. / B.Tech. (C.S, I.T, E&C) M.C.A., Aggregate - 60% Above
  • Technical Skill Requirements : Python,R
  • B. Tech from a top-tier college.
  • 0 - 2 years of experience in programming languages like Python, R, and SAS
  • Good understanding of data mining and statistical analysis.
  • Experience in cloud environments like Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)
  • Excellent Microsoft Office skills along with a strong working knowledge of Excel.
  • Prior experience of solving use cases with real data.
  • Knowledge of Agile/Scrum processes.
  • Excellent communication and data presentation skills.

CTC Offered :

3.4 LPA

Company URL :


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