Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud™, integrates with your existing systems to digitize, augment, and automate decisions in real time. Aera helps enterprises around the world transform decision making – delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world’s best-known brands.
Privately-held and VC-funded, we have a global team of over 400 Aeranauts – and we’re growing. We deliver Decision Intelligence innovation and services that enable enterprises to automate and scale decision-making with accuracy and speed. We continue to be the trusted choice of market leaders for our proven ability to generate value and unlock opportunities that were previously unattainable.
Job Description :-
| Company: | Aera Technology |
| Job Role: | Data Science Intern |
| Batches: | Recent batch |
| Degree: | Bachelor’s/Master’s degree |
| Experience: | Freshers |
| Location: | Pune, India |
| CTC/Salary: | INR 30K-50k/month (Expected) |
Responsibility
- You will be working on new and challenging Engineering Problems to operationalize Data Science
- Design and implement state-of-the-art Machine Learning approaches
- Building core machine learning infrastructure, which includes distributed systems, abstractions, development tools, model hosting /serving/ inference pipelines
- Building and Supporting Customer Data Science Projects on Aera
- You will be working on all of these with senior members of the ML Engineering and Data Science teams.
- You will receive appropriate training and guidance to do these tasks
Nice to have
- Required: Passionate about starting a career in Data Science
- B.E./B.Tech in Computer Science/Computer Engineering or MCA/MCS (Pursuing or Completed).
- Good knowledge of Data Structure and Algorithms and Object-Oriented Programming
- Proficient in any one programming language (Python preferred)
- Basic knowledge of SQL
- Basic knowledge of Machine learning Libraries and frameworks (Tensorflow, Keras, etc).
- Some experience in data analysis.
- Basic knowledge on time series, data algorithms
- Basic knowledge of API development, Docker, and basic cloud knowledge.
- At least one project as a showcase should be hosted on GIT Heroku or any cloud platform.
Good to have:
- Good understanding of back-end concepts, and databases (SQL, Postgres, NoSQL, etc.)
- Hands-on experience on AWS and other cloud platforms
- Courses or MOOC (Udacity, Coursera, fast.ai, etc) on Data Science/ML Engg/ML Ops.
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