Engineer- Machine Learning

Intangles Lab; Pune District; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Intangles Lab in Pune District, Maharashtra is hiring a Machine Learning Engineer to design and develop models for analyzing power train and vehicle dynamics data. The role includes research in statistics and mathematics, and collaboration with other engineers for implementing models. Candidates should have a BE/B Tech in CE/IT/Data Science and 1.5 to 4 years of experience in machine learning, along with relevant certifications. Proficiency in tools such as Pandas, Numpy, and others is essential.

Qualifications

• 1.5 to 4 years of experience in Machine Learning required.
• Certification in Machine Learning, AI, Deep Learning, Statistics, or Data Mining is a plus.

Responsibilities

• Design and develop machine learning models for analysis of power train and vehicle dynamics data.
• Research in statistics, mathematics, and automobile technology to evolve hybrid algorithms.
• Implement models from a software development perspective while collaborating with teams for deployment.

Skills

Machine Learning

Data Science

Statistics

Mathematics

Software Development

Data Analysis

Education

BE/B Tech CE/IT or Mtech in CE/IT/Data Science

Tools

Pandas

Matplotlib

Seaborn

Plotly

ggplot2

Bokeh

OpenCV

Numpy

Job description

Machine Learning (ML) Engineer – Design and development of machine learning models for analysis of power train and vehicle dynamics data, to serve use cases such as vehicle health/performance management and driver behavior monitoring. The role also involves research in statistics, mathematics and automobile machinery/practices for the evolution of hybrid algorithms that couple physics and machine learning. A senior ML engineer will work closely with a team of budding ML engineers and analysts to evolve and validate new designs.

Job Responsibilities

• Primary: Design and development of machine learning models for analysis of power train and vehicle dynamics data. Research in statistics, mathematics, and automobile technology to evolve hybrid algorithms that couple physics and machine learning. Use cases include vehicle health management, fuel pilferage tracking, and driver behavior profiling.
• Secondary: Implementation of aforementioned models from a software development perspective. Work closely with data engineering and GUI teams for deployment, usability, and performance management of algorithms. Interface with and enable service teams with appropriate know-how to address queries related to data models.

Skills and Qualifications

• BE/B Tech CE/IT or Mtech in CE/IT/Data Science.
• 1.5 - 4 years of experience in Machine Learning.
• Certification in Machine Learning, AI, Deep Learning, Statistics, or Data Mining.
• Tools and packages: Pandas, Matplotlib, Seaborn, Plotly, ggplot2, Bokeh, OpenCV, Numpy.
• Algorithms: Multi Variable Regression, Density Clustering, Support Vector Machines, Bayesian.