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AI/ML & Gen AI Senior Engineer must have 15 years of experience

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.

 

 

 

Respectfully & Best Regards

Swapna S

Everest Consulting Group Inc

3840 Park Ave Suite #203, Edison, NJ 08820

Swapna@everestconsulting.net

Direct :732 609 8666

732-548 2700 Ext: 8666

Mobile: 215 806 4493

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