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09/02 Sharath
Account Manager at Confidential

Views:924 Applications:251 Rec. Actions:Recruiter Actions:51

Data Scientist - BFSI/BPO/KPO (5-10 yrs)

Anywhere in India/Multiple Locations Job Code: 1046175

- Data scientists who are excited to work on Machine Learning/Deep Learning models.

- Good Machine Learning/Deep learning knowledge with hands on experience solving complex real-world ML/DL proble

- Excited to solve the hard problems, eager to work in with larger team of data scientists & engineers and ready to make business impact in areas related to Pricing, Claims, Marketing, Operations or any other ongoing research into the organisation

- Ability to code & implement reusable Machine learning frameworks Work with data engineers to source, analyse & engineer features, perform data augmentation

- Ability to design and build an efficient data pipeline that can train, test & deploy high Quality models into production to run at scale

- The role may involve independent tasks or supporting senior team members as per project requirements

- Keep up to speed with the latest industry & technology SOTA developments in machine learning/ Deep learning

- B.Tech/B.E/MCA or Mtech in Computer science/electronics/electrical engineering tier 1 colleges / universities

- 5+ years of hands-on experience with the Python or R, SQL

- 5+ yrs. of data science/analytics experience.

- Experience with traditional Machine Learning


- Experience with Deep Learning (especially Computer Vision and/or Natural Language Processing)


- Experience in developing AI-based micro-services - Well-developed analytical, logical and problem solving skills


- Advanced ability to perform exploratory data analysis and visualize data


- Familiarity with data management tools


- Working knowledge of Statistics, common data science took kits


- Excellent communication (written and oral) & technical writing skills

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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