CodeMonk Off Campus Recruitment For Freshers Across India

Internship in Bangalore| CodeMonk| Recruitment| 2019 Batch| 2020 Batch| B.E./B.Tech| Freshers Jobs

Codemonk is looking for freshers as Software Engineering Intern in Bangalore. Candidates from 2020 Batch, 2021 Batch or 2022 Batch with B.E./B.Tech degree are eligible for this job opening. Details of this Codemonk Internship are given below.

Codemonk Job Opening Summary

Job Role: Software Engineering Intern

Eligibility: B.E./B.Tech

Job Location: Bangalore

Experience Required: Fresher

Last Date To Apply: As Soon As Possible

Salary: Not Disclosed

Candidate Profile and Criteria

• CodeMonk is looking for students in their final or pre-final year of Engineering or relevant studies.
• Proficient in programming in Python.
• Skills required: Python and Data Science tool kit (Numpy, Pandas, Scipy, Scikit-learn, Matplotlib) knowledge.
• Knowledge of Machine Learning Library such as Tensorflow, Keras or Pytorch is a plus.

• Only those candidates can apply who:
  • Are available for full-time internship
  • Can start the internship immediately
  • Are available for duration of 6 months
  • Have relevant skills and interests.

Company Profile

Company’s Name: Codemonk
Company’s Website: www.codemonk.in
Codemonk is a young and energetic startup that empowers other startups and enterprises by building simple and elegant software solutions. Through our expertise in the domains of AI, Blockchain, IoT and enterprise applications we have helped brands such as Unilever, IndiaMART, greytHR, Fyle, Skylark Drones, etc. to craft world-class products and improve their business. We are churning out amazing software for our clients located across the globe from our headquarters at Bengaluru.

Roles and Responsibilities

• Work closely with a team of scientists, doctors and be able to assimilate the problems and develop solutions through software.
• Develop software programs and tools to extract features from data for machine learning model development.
• Define and implement models to uncover patterns and predictions creating business value and innovation.
• Effectively tells stories with the data using visualisation tools/methods to demonstrate insight impact and business value.
• Implement data-driven solutions based on machine learning (ML) and optimisation algorithms to address business problems.
• Partner with teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring).