Employment Type
Full-time
Job Location
Ahmedabad, India
Remote work from: India
Position title
Research Engineer
Description

Raapid is searching for a world-class researcher in machine learning/deep learning to join our core research team. We are passionate about machine learning/deep learning applied to healthcare domain with the vision of “Saving Patients Lives”. After building prototypes that demonstrate the promise of your
research, you will work with product teams to help them integrate your ideas into products. If you agree with us that the most interesting thing about the deep learning revolution is applying it to solve real-life problems, this team will be a great fit for you.

Responsibilities
  • Identify and design Machine learning / Deep Learning solution
  • Develop and manage ML/DL solution
  • Ensure excellence in delivery to internal and external customers
  • Managing challenges associated with investigating and understanding
    large datasets, and building models based on Big Data solutions
  • Lead design and code reviews and enforce coding standards
  • Development of technical specifications and documentations
  • Analyzing and testing developed modules
  • Assure that the team members have the necessary education and training
    to effectively participate on the team
  • Proper publication reading and present it to team before initiating any
    research in ML/DL
  • Publish research paper in top listed conferences
Qualifications
  • B.E. /B.Tech/M.E. /M. Tech in Computer Science, Engineering/IT (ONLY)
  • 0-3 years of experience in Python coding
  • Sound knowledge & understanding of Python, Databases, Data Structure and Flask framework
  • Strong logical, analytical thinking & problem solving skills
  • Strong programming basics, with a clear understanding of Object-Oriented and Functional programming
  • Good communication skills and ability to work with global teams to define and deliver on projects(Note: All the above are the mandatory/ must have skill sets)
Job Benefits
  • 5 Days Working with Flexible Working Hours (Work-life Balance)
  • Hybrid Working Model (Work-life Balance)
  • Continuous Learning & Development
  • Workplace Diversity
  • Equality, Inclusive & highly performance driven Culture
  • Career pathing & Growth
  • Embrace People Xcellence (Reward, care, reinforce workplace health & happiness)
  • Referral Bonus

Our core values - Foundation to Success Trust, Passion to win, Freedom to Act & for one another is the foundation of our corporate culture.

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