GEN AI/ML-Engineer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 1 Year(s)
No Travel Required

Skills

GEN AI/ML-Engineer
AWS and Azure.
delivering large-scale AI/ML solutions preferably
advanced analytics
AI
or data science roles
with a proven track
data solution architecture and implementation experience on AI .
large-scale AI/ML solutions preferably in AWS and Azure.
large-scale AI/ML solutions preferably
AWS
Azure.
Python
R
or Scala
and experience with ML frameworks such as TensorFlow
PyTorch
Keras.
AI-solutions to cloud platforms like AWS
Azure
or GCP using native and 3rd party services and technologies.
Google Cloud) to develop joint solutions.
GDPR
CCPA)
governance frameworks in AI & analytic solutions.

Job Details

GEN AI/ML-Engineer
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 large-scale AI/ML solutions preferably in AWS and Azure.
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 Google Cloud Platform 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.

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