0 Machine Learning Engineer Positions 2 - Polyfins Technology
Machine Learning Engineer (Positions-2)
Polyfins Technology
JOBID: #087739
  • Proficient in Python programming with atleast 3 years of experience.
  • Experience with machine learning libraries like Scikit learn, Tensorflow, PyTorch etc is a plus.
  • Knowledge of working with Docker and Linux GPU servers is an advantage.
  • Comfortable in processing structured and unstructured data to feed into predictive models
  • Understanding of machine learning models, neural networks and implementing them into production system is desirable.
Education Requirement:
  • N/A
Additional Requirement:
  • Should have good communications in English (both written and oral) and explain predictive models in succinct.
  • Work closely with the engineering team to ensure models meet production speed and accuracy thresholds
  • Willing to work in multiple timezones and co-ordinate with other data scientist and engineers located globally
  • A person who is driven and excited to work in a startup environment - is hard-working and desire to grow and succeed.
  • Someone who loves to solve a problem with unfaltering focus.
No. Of Vacancy: 2
Salary: Negotiable
Other Benefits:
  • As per company policy.
Company Description:

Polyfins Technology Inc is a startup specializing in applying artificial intelligence and blockchain solutions to the healthcare industry.

Apply Instruction:
  • Interested candidates are requested to Apply Online opening Job Seeker Account at www.skill.jobs
  • Please completely fill-up your profile and upload your cv to your Job Seeker Account
  • Also, you can send your updated cv to recruitment@skill.jobs In mail subject please mention the position like; Application for "Machine Learning Engineer"_Polyfins Technology
Apply Online: Please signin or signup to apply.
Job Highlights
# Category: Engineering/Architects Category
# Position Level: Mid
# Employment Type:Full Time Job
Country : Bangladesh
Division: Dhaka,

District : Dhaka

Dhaka, Bangladesh 

3 Days, 17 Hours, 16 Mins, 26 Seconds Left
Published: 28 Jun 2018   |   Deadline: 20 Jul 2018
Who Can Apply:
# Age: Not Mentioned
# Gender: N/A
# Experience Required: 3 - 3 Years
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