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Data Science part time job/internship at Hyderabad in Carabiner Technologies Private Limited


Start Date Duration Stipend Posted On Apply By
3 Months ₹6000 /Month 7 Dec'18 21 Dec'18
Part time allowed
With job offer
About Carabiner Technologies Private Limited (https://www.carabinertech.com/):
At Carabiner Technologies, we develop innovative and creative products that solve real-world problems using machine learning and artificial intelligence. Our business philosophy is to assure the highest quality product with total customer satisfaction and the best price ratio found in the industry.
About part time job/internship:
Selected intern's day-to-day responsibilities include:

1. Build competitive real-time ad-fraud detection systems for the digital-ad ecosystem
2. Build competitive bidding systems to identify robust and efficient ad-campaign utilisation
3. Build custom demographic characteristics based on media consumption habits and behaviour embedding
4. Build automated anomaly detection solutions across businesses
5. Work on deep learning products on video and image processing
6. Analyze research papers and implement ideas/algorithms for product/platform development
7. Use different machine learning techniques and algorithms, ideally using ML, deep learning frameworks & statistical libraries such as sci-kit-learn, TensorFlow, Keras, PyTorch, etc.
8. Work with engineers to translate models
# of jobs/internships available: 1
Skill(s) required: Python (Learn Python) and Machine Learning
Who can apply:
Only those candidates can apply who:
  1. are available for the part time job/internship
  2. can start the part time job/internship between 6th Dec'18 and 5th Jan'19
  3. are available for duration of 3 months
  4. have relevant skills and interests
** Women willing to start/restart their career can also apply.
Other requirements:
  1. Should have a good understanding of model validation processes and optimizations
  2. Should have good applied statistics skills such as distributions, statistical testing, regression, etc.
  3. Should have strong hands-on scripting and programming experience in Python
  4. Should have great analytical skills and excellent hands-on experience in machine learning techniques such as decision trees (random forest), SVM, GBMs, topic modeling, regression (linear & logistic) and deep learning algorithms like CNN, RNN, and LSTMs
Certificate, Letter of recommendation, Job offer, Flexible work hours.