Position Details

Requirement

No of Positions

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

In person interviews Yes/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 :

Long term contract, Contract work, Work at office, Immediate start,