Software Development

Jr Machine Learning Engineer (Goa)

Gurugram, Haryana
Work Type: Full Time
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
Candidate Source:
Referral
 
Experience Level:
1-3 Years
 

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