Artificial Intelligence/Machine Learning Jobs in Bangalore - LivNSense
Job Description
About the internship
Selected intern's day-to-day responsibilities include:
1. Automating data pre-processing (building custom data pipelines)
2. Working on the deployment of machine learning models in production (cloud/on-premise)
1. Automating data pre-processing (building custom data pipelines)
2. Working on the deployment of machine learning models in production (cloud/on-premise)
Skill(s) required
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
* Women wanting to start/restart their career can also apply.
Other requirements
1. Hands-on experience in Python & R programming (machine learning libraries), Keras, Tensorflow, Pytorch, etc.
2. Should have good knowledge of mathematical concepts of machine learning/data science
3. Hands-on experience in deep learning and reinforcement learning
4. Experience in solving complex data problems, reusable, efficient, and scalable code
5. Working experience in Linux/Windows/Unix
Perks
Number of openings
10
Certificate: Will be provided at the end of the Internship
Job Particulars
Role it software engineer
Education BE/B.Tech
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeInternship / Projects
Job Id1428106
Job Category IT/Software
Locality Address
State Karnataka
Country India
About Company
About LivNSense
LivNSense is a seed-funded product company that serves the manufacturing and production industries, with a primary focus on the continuous manufacturing and construction industry. Incubated in India with a global presence across India, the USA, and the UK and in strategic collaboration with leading IoT ecosystem partners. Within a short span of three years, the company has acquired a significant Fortune 500 customer base, with clear visibility of a solid pipeline of customers across India, the USA, and EMEA. The company is in pilot revenues and now in growth scaling mode, with a targeted income of $100M by FY-26.
The company has successfully launched GreenOps, a Digital Twins Platform that enables cognitive functions for a cleaner optimized, and streamlined production process, reducing the carbon footprint by 10% and improving EBITDA by 4% to 7%.
The company has successfully launched GreenOps, a Digital Twins Platform that enables cognitive functions for a cleaner optimized, and streamlined production process, reducing the carbon footprint by 10% and improving EBITDA by 4% to 7%.
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