Sports Analytics Machine Learning Engineering work from home job/internship at Cima Analytica
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Sports Analytics Machine Learning Engineering
Start Date
Starts immediatelyImmediately
4 Months
2500 /month
Apply By
15 Aug' 20
Part time allowed
181 applicants
Part time allowed
181 applicants
About Cima Analytica
Cima Analytica is a flexible state of the art data consultancy firm. Without data, you don't get information, and without information, your business won't function. Data is everywhere; all you need an eye to capture it and a mind to use it to enhance your performance exponentially. We hear terms like data analytics, data science, big data used a lot nowadays. Our goal is to help enterprises and institutions not only realize how much-unused data they are sitting on, but also help them utilize that data efficiently.
About the work from home job/internship
Selected intern's day-to-day responsibilities include:

1. Collect, scrape, process, clean data
2. Study and transform data science prototypes
3. Design machine learning systems
4. Research and implement appropriate ML algorithms and tools
5. Develop machine learning applications according to requirements
6. Select appropriate datasets and data representation methods
7. Run machine learning tests and experiments
8. Perform statistical analysis and fine-tuning using test results
9. Train and retrain systems when necessary
Skill(s) required
Machine Learning Data Science REST API
Learn these skills on Internshala Trainings
Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can start the work from home job/internship between 30th Jul'20 and 3rd Sep'20

3. are available for duration of 4 months

4. have relevant skills and interests

Other requirements

1. Proven experience as a Machine Learning Engineer or similar role

2. Must know TensorFlow framework, Keras, PyTorch, Deeplearning4j, sci-kit learn

3. Should know how to build databases

4. Should be a Python expert

5. Keep abreast of developments in the field

6. Understanding of data structures, data modeling, and software architecture

7. Deep knowledge of maths, probability, statistics, and algorithms

8. Ability to write robust code in Python, Java, and R

9. Must know TensorFlow framework, Keras, PyTorch, Deeplearning4j, Anaconda

10. Excellent communication skills

Letter of recommendation Flexible work hours
Number of openings

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