Gen AI with Co Pilot 100% REMOTE
Position Details
Requirement
No of Positions
1
Role
Gen AI with Co Pilot
Location
West Lake, Texas or Remote
Type of Hire - Contract/ C2H
Contract/C2H
Duration
Long Term Contract
Number of Interviews
2
In person interviews Yes/No
No
Client Interview Yes/No
Yes
No of submission (example not more than 3 resumes)
2 Submissions
Timeline for submission
ASAP
Position requirements
Onsite(Weekly 3 days working from office)
Job Description
- Technical Execution:
- Design and develop GenAI models, including fine-tuning large language models (e.g., GPT, LLaMA, Claude).
- Lead the evaluation and integration of foundation models and APIs (e.g., OpenAI).
- Architect scalable and secure AI pipelines for data processing, training, and deployment.
- 2+ years of hands-on experience with generative AI technologies and large language models
- Proven experience working with Microsoft Copilot (GitHub Copilot) or Azure OpenAI Services
- experience building Gen AI solutions with AWS Bedrock
- Strong programming skills in Python, with experience in AI/ML frameworks
- Knowledge of prompt engineering, fine-tuning, and model optimization techniques
- Innovation & R&D:
- Stay up-to-date with the latest research and trends in generative AI, multimodal models, and MLOps.
- Drive experimentation with new models, prompt engineering, and domain-specific adaptations.
- Create internal GenAI tools, copilots, or agents to enhance employee productivity and customer engagement.
- Governance & Ethics:
- Ensure AI systems are explainable, fair, and aligned with ethical guidelines and data privacy laws.
- Establish monitoring systems to track model performance, drift, and user feedback in production.
- Required Qualifications:
- Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred).
- 10+ years of experience in AI/ML, with at least 3+ years in hands-on GenAI or LLM-related projects.
- Strong experience with ML frameworks, LLMs (GPT, BERT, etc.), and cloud AI platforms (AWS, Azure, GCP).
- Deep understanding of transformer architectures, embeddings, prompt engineering, RAG, and fine-tuning techniques.
- Proven track record of delivering GenAI applications in enterprise or production environments.
Responses to be submitted to
To :
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