We are looking for a candidate who is passionate about data science and machine learning, has more than 3 years of relevant experience.

Experience in game development will be a plus.

Candidate must be able to train and deploy machine learning models.

 

Requirements

  • Bachelor’s or Master’s degree in Computer Science.
  • 3 year of experience in: Data Science/ Machine Learning.
  • Implementing Machine Learning models and algorithms
  • Hands-on experience building production models with Python, TensorFlow, PyTorch, or scikit-learn.
  • Experience with Unity Engine, 3D simulators, game development, or graphics.
  • Excellent communication and collaboration skills

 

Bonus Points

  • Relevant experience in Unity (ML-agents).
  • Ability to create examples, prototypes and demonstrations autonomously.
  • Must be a team player.

工作详细内容

全部职位:
7 发布
工作时间:
早班
工作类型:
工作地址:
性别:
没有偏好
最低学历:
学士
职位等级:
资深专业人员
经验:
1年 - 3年 (Machine Learning and Data Science)
在之前申请:
Dec 29, 2019
发布日期:
Nov 28, 2019

FiveRivers Technologies (Pvt.) Limited

· 51-100 员工 - 拉合尔

FiveRivers has been at the cutting edge of technology since 2003, pioneering Virtualization and Systems Management technology for Enterprise and Embedded systems, developing globally top ranked mobile applications downloaded tens of millions of times and winning international awards for our work. But for all the trails we’ve blazed, we’ve never been as excited about the future as we are now. The coming Virtual Reality (VR), Artificial Intelligence (AI) and Internet of Things (IoT) revolutions will alter the tech landscape and our own lives in ways we can’t even fully imagine at present. So, while the history of the future still needs to be written and only its contours are visible, what we know for sure is that we won’t just be experiencing tomorrow from the sidelines. We will be rolling up our sleeves and building it! Having one of the most progressive HR policies in the market, it ceaselessly strives to build the quality of its human capital by providing its staff not only the necessary material incentives, but a stimulating work environment that is both enabling and challenging, leading to accelerated learning and personal growth.

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