EXL Service - Assistant Vice President - Machine Learning

Job Description: AVP - Machine Learning

Timings - 12:00 - 9:00 PM

Location - Gurgaon

- This role requires the candidate to have a minimum of 8 years+ experience with strong background in statistics and machine learning.

- Will be required to work with client to provide analytics solutions, manage onshore team and provide thought leadership to the project.

Candidate Profile :

- 8+ years of managing end to end project deliveries

- Minimum 6 yrs Machine Learning experience mandatory

- Exposure to Python, Bigdata and Modeling is a must have

- Good understanding of Cards or Credit Risk technology

- Strong Client and Team management experience required

- Retail service industry experience will be preferred

- EXL has a robust recruitment process where the employment criterion is based purely on merit.

- EXL neither charges any fee, nor requires / demands any money or security deposits from any candidate or jobseekers at any stage of recruitment and also does not collect any fees from educational institutions for participation in a recruitment event. EXL's has not authorized any person including its employees, hiring partners, consultants, etc., and they are not permitted, to charge or demand any fees, money / security deposits or any amount by whatever named called from any candidate, educational institutions, etc.

- Any person dealing with unauthorized parties for seeking job opportunities with EXL or paying money or bribe for the same is / shall be doing so at his/her own risk and consequences. EXL shall not have any obligation to honor terms of any fake offer letter so issued, or provide employment to anyone who has been issued a fraudulent offer letter. Further, EXL is not / shall not be responsible or liable for any consequences whatsoever including for losses, damages, etc. (monetary or otherwise) including but not limited to loss of data that are incurred, suffered or sustained as a consequence of aforesaid.

- EXL's policies strictly prohibit accepting or offering any bribes, kickbacks, payoffs or other such corrupt practices.