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DATA SCIENCE ENGINEER.

SRI Tech • Sunnyvale, CA 94085 • Posted today

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In-person • Full-time • Senior Level

Job Highlights

Using AI ⚡ to summarize the original job post

The Data Science Engineer at SRI Tech will be responsible for the development, optimization, and automation of Machine Learning models using Python/R programming. This role involves building and optimizing ML models, understanding ML models of Classification and Regression, Deep Learning, and the complete Data Science Life Cycle. The position requires proficiency in writing SQL queries and a strong understanding of Kubernetes deployment strategies. This role is based in Austin, TX or Sunnyvale, CA and requires 8+ years of industry experience.

Responsibilities

  • Develop, optimize, and automate Machine Learning models using Python/R programming.
  • Build and optimize Machine Learning models of Classification and Regression like Logistic Regression, Random Forest, Support Vector Machines in Manufacturing and Financial Domain.
  • Understand Deep Learning.
  • Follow the complete Data Science Life Cycle from Gathering Data, EDA, Pre-Processing, and Modelling using various algorithms and Hyper Parameter Tuning to testing using Performance Metrics.
  • Write SQL Queries proficiently.
  • Understand Kubernetes deployment strategies.

Qualifications

Required

  • 8+ years of industry experience.
  • Proficiency in Python (hands-on for Python libraries related to ML).
  • Experience using GITHUB.
  • Experience with production deployments and warranty activities.
  • Understanding of Kubernetes deployment strategy.
  • Proficiency in communication & presentation skills.
  • Positive & collaborative attitude.
  • Good client facing skills.

Full Job Description

Data science Engineer.Austin, TX or Sunnyvale CAJob Description :Experience in Machine Learning (R&D) for development, optimization, and automation.Experience in building Machine Learning models using Python/R ProgrammingUnderstanding of ML models of Classification and Regression like Logistic Regression, Random Forest, Support Vector Machines in Manufacturing and Financial Domain.Understanding of Deep Learning.Understanding of complete Data Science Life Cycles of Gathering Data, EDA, Pre - Processing, and Modelling using various algorithms and Hyper Parameter Tuning and finally testing using Performance Metrics.Proficiency in writing SQL Queries.Required SkillsShould have industry experience of 8+ years.Should be proficient in Python (hands-on for Python libraries related to ML)Should have experience using GITHUB Should have experience with production deployments and warranty activities.Should have understanding of Kubernetes deployment strategy.Skills And Qualifications:· Proficient in Communication & Presentation skills.· Should have positive & collaborative attitude· Good client facing skillsSRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteriaIndustry:Computer SoftwareEmployment type:Full TimeExperience:N/A