Senior Data Scientist

at Opscruise

DP
Posted by sharmila M
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Remote, Chennai
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9 - 25 yrs
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₹8L - ₹25L / yr (ESOP available)
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Full time
Skills
Data Science
Python
Machine Learning (ML)
DA
Unsupervised learning
Supervised learning

Responsibilities

  • Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
  • Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness
  • Work closely with other functional teams to integrate implemented systems into the SaaS platform
  • Suggest innovative and creative concepts and ideas that would improve the overall platform

Qualifications

The ideal candidate must have the following qualifications:

  • 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
  • MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
  • In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
  • Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
  • Experience in working on modeling graph structures related to spatiotemporal systems
  • Programming skills in Python is a must
  • Experience in developing and deploying on cloud (AWS or Google or Azure)
  • Good verbal and written communication skills
  • Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

 

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.

Location

Chennai, India

Read more

About Opscruise

Application Performance Assurance for your Kubernetes Managed Cloud Applications
Read more
Founded
2018
Type
Product
Size
20-100 employees
Stage
Raised funding
View full company details
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