Jr Machine Learning Engineer (Goa)

India·Gurugramentry

Machine Learning EngineerData

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Quick Summary

Overview

Professional Summary Junior Machine Learning Engineer with hands-on experience in building and deploying ML models, with a strong focus on Computer Vision applications. Proficient in data preprocessing, model training, evaluation, and experimentation using Python-based ML frameworks.

Requirements Summary

Bachelors degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field 6 months to 2 years of hands-on experience in Machine Learning and/or Computer Vision (internships or full-time) Strong…

Technical Tools

pythonpytorchtensorflowab-testingdeep-learningmachine-learning

Professional Summary

Junior Machine Learning Engineer with hands-on experience in building and deploying ML models, with a strong focus on Computer Vision applications. Proficient in data preprocessing, model training, evaluation, and experimentation using Python-based ML frameworks. Adept at working with image data, implementing deep learning models, and collaborating with cross-functional teams to deliver scalable AI solutions.

Qualifications:

Bachelors degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field
6 months to 2 years of hands-on experience in Machine Learning and/or Computer Vision (internships or full-time)
Strong foundation in Python programming and core ML concepts
Practical exposure to Computer Vision techniques such as image classification, object detection, or image processing
Working knowledge of ML/DL frameworks like TensorFlow or PyTorch
Experience with OpenCV and image preprocessing techniques
Understanding of data preprocessing, feature extraction, and model evaluation
Familiarity with Git/version control and basic ML workflows
Good analytical, problem-solving, and communication skills
Willingness to work from Goa location and collaborate in a team environment

Why join us?

You'll have the opportunity to collaborate on multiple global projects, essentially gaining experience across multiple technologies simultaneously

More reasons to join us:

4.4 Glassdoor Rating
Exposure to cutting-edge technologies and international clients spanning various industries
Opportunities to engage in diverse projects and technologies, with cross-domain training and support for career or domain transitions, including certifications reimbursement
Profitable and bootstrapped company
Over 30 paid leaves annually
Merit-based compensation with above-average annual increments
Sponsored team luncheons, festive celebrations, and semi-annual retreats