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machine learning-manju

Remote: 
Full Remote
Contract: 
Experience: 
Junior (1-2 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, AI or related field, Prior experience in cloud-based environment, especially Microsoft Azure.

Key responsabilities:

  • Develop scalable generative AI models using Azure ML Workbench and Cognitive Services
  • Implement advanced models and collaborate with data science and dev teams for model deployment
  • Track and optimize model performance, stay updated on latest Generative AI advancements
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Job description

Role: MI/ML Engineer
Exp: 7+ Years
Location: Remote
No. of positions: 2
Duration : 6+ months (Extendable)
 
Key Responsibilities:
Model Development and Deployment: Architect, develop, and deploy scalable generative AI models using Azure ML Workbench and Azure Cognitive Services.
 
Technological Expertise: Implement models such as instruct fine-tune, RAG, and PERT, and leverage prompt engineering and prompt tuning techniques.
Collaborative Development: Work in sync with data science and development teams to incorporate generative models into our suite of products and services.
Performance Metrics: Continuously track and optimize model performance using metrics like Bleu and Rouge.
Stay Updated: Keep abreast of the latest advancements in the field of Generative AI, including technologies from foundational LLM models and OpenAI.
 
Preferred Qualifications:
 
Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
Prior experience working in a cloud-based environment, especially Microsoft Azure.
A keen interest in emerging AI technologies and a continuous learning mindset"

Required profile

Experience

Level of experience: Junior (1-2 years)
Industry :
Management Consulting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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