Jr. Machine Learning Engineer | HR- 339

Haryana, Gurugram, India

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As an Entry-Level Machine Learning Engineer, you will play a critical role in developing and deploying machine learning models to support various business initiatives. You will work closely with a team of experienced data scientists, engineers, and stakeholders to design, implement, and optimize ML solutions.

Qualifications:
Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
Strong understanding of machine learning concepts and algorithms (e.g., supervised and unsupervised learning, reinforcement learning)
Proficiency in programming languages such as Python or R
Experience with Deep learning
Good knowledge of Computer vision
Understanding of software development practices and version control (e.g., Git)
Excellent problem-solving skills and the ability to work in a collaborative team environment
Strong communication skills and the ability to explain complex concepts to non-technical stakeholders

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:

  • 4.0 Glassdoor Rating
  • Fully remote work environment
  • 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
  • Flexible working hours with a 5-day workweek
  • Over 30 paid leaves annually
  • Merit-based compensation with above-average annual increments
  • Sponsored team luncheons, festive celebrations, and semi-annual retreats


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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Science Computer Vision Deep Learning Git Machine Learning Mathematics ML models Python R Reinforcement Learning Statistics Unsupervised Learning

Perks/benefits: Career development Flex hours Team events

Regions: Remote/Anywhere Asia/Pacific
Country: India

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