| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Hike | Delhi, India | $72k - $80k | |||
Hike | Delhi, India | $36k - $72k | |||
Hike | Delhi, India | $81k - $84k | |||
Hike | Delhi, India | $81k - $84k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Hike | India | $105k - $111k | |||
Hike | Delhi, India | $98k - $108k | |||
Hike | Delhi, India | $64k - $80k | |||
Hike | Delhi, India | $30k - $80k | |||
Hike | Delhi, India | $64k - $80k | |||
Hike | Delhi, India | $64k - $80k | |||
Hike | India | $30k - $80k | |||
Hike | Delhi, India | $105k - $111k | |||
Hike | Delhi, India | $54k - $90k | |||
Hike | Delhi, India | $9k - $81k | |||
Hike | Delhi, India | $54k - $90k |
Hike
$72k - $80k estimated
This job is closed
Description
At Hike, we’re building the Rush Gaming Universe 🎮 📲 💰
To know more, check out work.hike.in
What we're looking for 👨💻
- Bachelors (preferably Masters) in computer science, statistics, engineering or applied mathematics with 3+ years of relevant industry experience
- Proficiency in data analysis, mathematics/probability, and statistical analysis
- An inquisitive mind, an ability for self-learning and abstraction along with a risk appetite for experimentation and failure
- Strong programming experience in at least one of the programming languages such as - Python, C/C++/C#. Preferably Python Scientific Stack (Numpy, Pandas, Scikit-Learn etc.).
- Solid foundations in Data-Structures, Algorithms, Design & Architecture.
- Solid foundations in Linear Algebra, Signal Processing, Image Processing, Optimization & Data Structures
- Expertise across ML Models, Training & Deployment Pipelines. Preferably, Deep Learning with Pytorch/Tensorflow.
- Excited about building cutting edge AI products in the fields of Gaming, Graphics & Computer Vision, Audio & AR/VR.
- Relentless passion to learn, own & deliver user delight.
You will
- Translate business problems into scientifically addressable problems.
- Figure out opportunities & metrics that should be driven scientifically, to create maximal business impact
- Research multiple approaches & pick just the right experiments to do, to arrive at solutions that are likely to create timely impact, as well as enable a path towards creating the optimal solution to ensure maximal long-term impact.
- Work with ML Engineers to prototype, validate & deploy scientific solutions.
- Deep dive into existing cutting-edge ML pipelines and improve upon it
- Own the metrics for the deployed ML models: work with data analysts and product teams to identify and track "what matters" and improve it.
- Stay updated with state of the art research in AI and related disciplines
- Guide & mentor ML Scientists & Engineers, while owning an AI Product Lifecycle end to end.
💰 Benefits → We have tremendous benefits & perks. Check out work.hike.in to know more
👾 Discord → Diving into our Discord is a great way to get to know us better (& maybe work on a few things with us)