AI/ML & Gen AI Senior Engineer must have 15 years of experience
AI/ML & Gen AI Senior Engineer must have 15 years of experience
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1 Vacancy
Job Description
AI/ML & Gen AI Senior Engineer must have 15 years of experience
Location/ Work Mode: working from office -3 days in a week Tuesday / Wednesday / Thursday
Job Type: Contract
Duration : 3 months subject to extension
Compensation: USD exceptions case to case basis
Interview Process-- Recruitment Prescreening- 20 minutes intro videocall Technical 30 -45 minutes video call Customer call 45- 60 minutes video call.
Project Starting :- June 1st week Tentative
13 years hands-on data solution architecture and implementation experience on AI .
At least 7 years of experience in advanced analytics AI or data science roles with a proven track record of leading and delivering large-scale AI/ML solutions preferably in AWS and Azure.
2 years of Experience with Gen AI Solutions and building data-driven solutions within large organizations.
2 years of Experience in handling data from Snowflake and other data sources to build AI solutions.
13 years hands-on data solution architecture and implementation experience on AI .
At least 7 years of experience in advanced analytics AI or data science roles with a proven track record of leading and delivering large-scale AI/ML solutions preferably in AWS and Azure.
5 years of experience working with cross-functional teams data scientists and project delivery.
2 years of Experience with Gen AI Solutions and building data-driven solutions within large organizations.
2 years of Experience in handling data from Snowflake and other data sources to build AI solutions.
Strong understanding and hands-on experience with AI/ML algorithms deep learning MLOps and data analytic technology and techniques.
Proficiency in programming languages like Python R or Scala and experience with ML frameworks such as TensorFlow PyTorch Keras.
Competency in delivering AI-solutions to cloud platforms like AWS Azure or GCP using native and 3rd party services and technologies.
Demonstrated AI marketplace knowledge and applicability.
Collaboration and management experience with technology partners (e.g. AWS Azure Google Cloud) to develop joint solutions.
Practical understanding and experience related to data governance privacy laws (e.g. GDPR CCPA) and ethical AI practices.
Experience ensuring regulatory compliance and implementing governance frameworks in AI & analytic solutions.
Education:
Master or Bachelor (CS IT Applied Mathematics or demonstrated experience).
Cloud platform (AWS and Azure preferred) and relevant AI-related certifications.
Please send your resumes to:
Employment Type
Full Time
