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1 Ripik.ai Machine Learning Engineer Job

Ripik.AI - Machine Learning Engineer (2-3 yrs)

2-3 years

Noida

Ripik.AI - Machine Learning Engineer (2-3 yrs)

Ripik.ai

posted 2mon ago

Job Role Insights

Fixed timing

Job Description

About us :

Ripik.ai is a fast growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders.

Ripik.ai builds patented full stack softwares for automation of decision making in the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminum, cement, pharma, paints, consumer goods and others. It is one of India's very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM.

About the role :

- You will work on some of the latest applications of AI to solve complex business problems, and demonstrate significant business value to multiple clients.

- Ability to understand a problem statement and implement analytical solutions techniques independently with independently / proactively / thought-leadership.

- Collaborate and Coordinate with different functional teams(engineering and product development) to implement models and monitor outcomes.

- Responsible for building new and innovative solutions leveraging data science and artificial intelligence skills / technologies to solve non-trivial problems.

- Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.


Required Skills & Experience :

- Expert in 2-3 programming languages and willing to learn more (Python & SQL - must have; Java/Scala/NodeJS - some knowledge/experience); experienced in DEVOPS (GIT & CI/CD tools) and Agile product development.

- Platforms (Cloud platforms like GCP/Azure/AWS - preferred : Google Cloud Platform GCP)

- Some understanding of Advanced Analytics / Machine learning / Artificial intelligence (candidate would be expected to rapidly ramp up knowledge of AA/ML/AI in order to link AA/ML/AI models to data processing pipeline) ; candidates with some data science knowledge and deep software and SCADA, OPC server, etc.)

Good to have :


- Snowflake, knowledge of Kubernetes, IOT platforms like Crosser.IO, c3.ai, PTC ThingWorx, etc.)

- Dashboard development using Power BI, Tableau, D3.JS etc.

- Open source contribution.

- Excellent verbal and written communication skills, especially the ability to share technical results and recommendations with both, technical and non-technical audience.

- Ability to perform high-level work both independently and collaboratively as a project member on multiple projects.

- B.E/B.Tech/M.Tech is mandatory.


Functional Areas: Other

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People are getting interviews at Ripik.ai through

(based on 1 Ripik.ai interview)
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What Machine Learning Engineer at Ripik.ai are saying

5.0
 Rating based on 1 Machine Learning Engineer review

Likes

* Interesting projects, lots of scope to innovate and learn * Ownership for the work done * Great collaboration and a friendly team * Opportunities to put on several hats and learn both technical and soft skills * Leadership supports the team well by problem-solving when needed but also encourages independent ideation and decision-making

Dislikes

Focus is on speed and rapid growth

Read 1 review

Machine Learning Engineer salary at Ripik.ai

reported by 2 employees with 1-2 years exp.
₹17.9 L/yr - ₹22.9 L/yr
101% more than the average Machine Learning Engineer Salary in India
View more details

What Ripik.ai employees are saying about work life

based on 28 employees
52%
100%
41%
100%
Strict timing
Monday to Friday
Within country
Day Shift
View more insights

Ripik.ai Benefits

Free Transport
Child care
Gymnasium
Cafeteria
Work From Home
Free Food +6 more
View more benefits

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Ripik.AI - Machine Learning Engineer (2-3 yrs)

2-3 Yrs

Noida

2mon ago·via hirist.com
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