Philips Recruitment | Intern | Bangalore
Company Name: Philips
Job Location: Bangalore
Job Position: BTech/MTech Intern – Data Analytics, AIML, Data Science
Qualification: BTech, MTech
Job Description:
- Philips is hiring for BTech/MTech Intern – Bangalore Location.
- We are looking for students who are passionate about AI, advancing science, and building the next generation of intelligent systems for various healthcare applications.
- Our ambitious AI research agenda is both broad and deep, with leading-edge projects in signal & image processing, machine learning, deep learning, and NLP techniques.
- You will interact with multiple teams on AI and will help bring research ideas into scalable, robust systems.
Basic Requirements:
- Bachelor/Masters holders in electronics/computer science/statistics/signal & image processing/machine learning/artificial intelligence/data science or any other related discipline.
- Experience with one or more analytic software tools or languages (like R and Python).
- Experience in C/C++.
Job Responsibilities:
- Developing AI, pre and post-processing algorithms on signals, images, and videos.
- Develop various machine learning and deep learning techniques and algorithms for regression, classification, statistical modeling, predictive modeling, etc., for healthcare applications.
- Exploration of various Deep neural network architectures and transfer learning methods.
Requirements (Signal, Image Processing, and Machine Learning):
- Department: Computer Science or Electrical Engineering or Biomedical Engineering.
Skill Sets: Matlab, Python/R, C++/Java Programming. - Duration: 2-6 Months.
Requirements (Data Analytics – Machine Learning, Deep Learning & NLP):
- Department: Computer Science or Electrical Engineering.
- Skill Sets: Python/R, C++, and Java Programming.
- Duration: 2-6 Months.
Selection Process:
- CGPA >7.5.
- Online Test.
- Resume Shortlisting.
- Technical Interviews (Virtual).
- Managerial Interview (virtual).
- HR discussion (virtual).
How we work at Philips:
- Our newly-adopted hybrid work concept fuses flexibility with collaboration to deliver great outcomes for our people and our customers.
- We are embracing an approach wherein we spend more time together than apart – which for full-time employees translates to an average of at least 3 days working from the office and up to 2 days from home – for our hybrid roles.
- Hybrid work flexibility means people can meet the changing demands of work and home in the most balanced, productive, and healthy way.
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