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Cognitive Services Developer Intern

Remote

About the job

Design, build and configure applications to meet business process and application requirements. As an AI/ML Intern you'll be responsible for Design, Build and Test Machine Learning Algorithms to meet the Business Innovation needs.

Intern should possess a genuine passion for technology and business, be highly analytical and articulate, have a strong command of software programming and a love for coding.

Must be a team player, well organised and also keen to take on responsibility. Demonstrate an entrepreneurial mind-set and have a high-degree of stamina to work within an ambitious and goal driven environment.

Duties and Responsibilities

  • 6-8 hours participation every day is mandatory
  • Respect Product Confidentiality until Product Launch
  • Problem analysis
  • Research the solution space
  • Develop ML Algorithms
  • Prototype and validate concepts
  • Specify Software requirements
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions


Job Requirements

  • Research and develop Machine learning models
  • Programming experience in Python.
  • Experience with relational databases,POSTGRESQL
  • Experience working on cloud platform such as AWS / Azure / GCP
  • DevOps fundamentals.
  • Hands-on working experience with container technologies (Kubernetes, Docker)
  • Strong debugging and troubleshooting skills
  • Quick documentation of the Research Outcomes
  • Experience with Agile development practices. 

Soft Skills

  • Create a Professional Network
  • Mentorship from Industry Experts
  • Global Exposure
  • EQ & EI
  • Self-Planning and Organization skills


Gains

  • Create a professional network
  • Mentorship from Industry Experts


Duration

  • 2 months, Part Time (30 Hours/Week)


Stipend

  • NA / Voluntary
  • UnPaid (None of the Internship roles at IN-CUBE are paid. We consider these programs as Value Exchange Programs. Please make sure you consider this aspect for decision making before applying for the role.)


On Completion

On Successful completion of the internship the intern will gain the following.

  • Experience Letter.
  • Certificate.
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