Machine Learning Engineer
Gtmhub, India

Gtmhub is seeking an incredible Machine Learning Engineer with 1+ years of relevant experience to join the team.

We believe that everyone deserves to work in an environment where there is consistent alignment between mission and activity; where transparency breeds trust; where accountability reigns; and where focus results in positive outcomes. That's why we have built the world’s best business orchestration platform, powered by the proven OKR methodology, so our clients (and we!) can achieve the missions that matter.

We are honored to support over 500,000 users across 75 countries and 1,000+ organizations including Red Hat, Adobe, Societe Generale, and TomTom. We've raised over $160 million in funding, including our most recent Series C led by Index Ventures.

• Working on our product matching framework.
• Building new models and training techniques to improve on current models performance.
• Working on Time Series Data and Analytic.

We’re looking for a communicative, experienced engineer who takes pride in producing disruptive technology products, built upon logical, simple and effective solutions to complex issues. Primarily, you should have:

• Strong programming skills in Python is a must, with experience working in ML Frameworks such as Keras, Tensorflow, Pytorch.
• Strong understanding of Deep Learning Algorithms in both NLP (LSTM’s, RNN’s etc.) and Computer Vision (CNN’s etc.) domain.
• Ready to get your hands dirty with data frames.
• Ability to implement research papers from scratch.
• Positive, pro-active team player who is passionate about their craft, is keen to take part in product discussions and cares about helping the team deliver.
• Drive for continuous learning, with the ability to get up to speed with new systems and concepts quickly.
• Good communication skills.

• Deep understanding about working of Tensorflow and Pytorch.
• Have created few projects in Tensorflow and Pytorch.
• Worked on the implementation of any published research paper from scratch.
• Worked on time-series analytic problem.

• Attractive pay and bonus scheme.
• Lunch is on us!
• Quarterly bonus opportunities (up to 25%)
• Employer-covered supplementary medical insurance
• Access to 5,000+ Udemy courses for ongoing learning and development
• Stock option opportunities
• MAC or PC of your choice
• Flexible working hours and leave policy.
• A truly flexible, trust-based, performance-driven work culture.
• A young and passionate team building elegant products with intricate technology for the future of retail and e-commerce. Our average age is below 25!
• The chance to make a huge difference to the success of a world-class SaaS product and the opportunity to make an impact.

Job Rewards and Benefits