Machine Learning Engineer

Smart Data Solutions (SDS) is a 17 year old United States - based corporation. We specialize in providing health care payers and networks with front-end medical claims processing services and EDI solutions. We are looking for few highly motivated, organized professional Machine Learning Engineers in our Nepal office Software Development House Nepal (SDHN).

Must Have Skills:

• Good knowledge of Object Oriented Programming Languages
• Good knowledge of relational databases
• Good knowledge of algebra and mathematical analysis
• Knowledge of machine learning techniques for problems such as classification, and clustering
• Familiarity with implementing machine learning and statistical approaches in existing software
• Proficiency with Unix-like operating systems
• Excellent Verbal and Written Communication
• Excellent Logical and Analytical Skill
• Time Management and Professionalism
• Ability to work independently with minimal supervision
• Knowledge in OCR tools and image processing techniques is a plus

Requirements:

• A bachelor’s degree in Computer Engineering or equivalent
• Experience with technologies listed in previous sections
• Any certification on Machine Learning or Data Science courses is a plus
• Prior research experience or internships related to machine learning

Other Job Requirements:

• IT experience
• Availability to work nights and weekends if necessary
• Must be able to work on Holidays to take care of urgent tasks
• Ability to work independently

 Benefits:

• Health Insurance
• Provident Fund
• Dashai Bonus, Performance Bonus, Referral Bonus
• 15 Days PTO
• 13 Days Govt Holidays
• 5 Working Days per Week
• Regular salary revision based on performance
• Frequent team building activities

How to Apply :
Interested and qualified candidates are requested to apply with an updated Resume to the following email address with position applied as email subject: 

• sdhnrecruit@gmail.com

Note :

• Only short listed candidates will be contacted for the programming test and interview.
• Keep checking inbox regulary for email notification.