Role - Python Gen AI consultant
Location:- Reston VA (client in person interview)
Type - Full time
Key Responsibilities
1 Python Development:
Design develop and maintain Python-based applications and tools.
Write clean efficient and reusable code while adhering to best practices.
Integrate third-party APIs and libraries as needed.
Perform code reviews testing debugging and optimization.
2. Generative AI Development:
- Develop and fine-tune generative AI models using frameworks like TensorFlow PyTorch or Hugging Face.
Implement machine learning algorithms and deploy AI-powered solutions for specific business requirements.
Research and experiment with state-of-the-art generative AI techniques (e.g. GPT Stable Diffusion Transformers).
Build custom AI models and pipelines to address domain-specific challenges.
3. Collaboration:
- Work closely with data scientists engineers and stakeholders to understand project requirements and deliver solutions.
Collaborate with UI/UX teams to integrate AI models into applications.
Participate in Agile workflows including daily stand-ups sprint planning and retrospectives
Role - Python Gen AI consultant Location:- Reston VA (client in person interview) Type - Full time Key Responsibilities 1 Python Development: Design develop and maintain Python-based applications and tools. Write clean efficient and reusable code while adhering to best practices. I...
Role - Python Gen AI consultant
Location:- Reston VA (client in person interview)
Type - Full time
Key Responsibilities
1 Python Development:
Design develop and maintain Python-based applications and tools.
Write clean efficient and reusable code while adhering to best practices.
Integrate third-party APIs and libraries as needed.
Perform code reviews testing debugging and optimization.
2. Generative AI Development:
- Develop and fine-tune generative AI models using frameworks like TensorFlow PyTorch or Hugging Face.
Implement machine learning algorithms and deploy AI-powered solutions for specific business requirements.
Research and experiment with state-of-the-art generative AI techniques (e.g. GPT Stable Diffusion Transformers).
Build custom AI models and pipelines to address domain-specific challenges.
3. Collaboration:
- Work closely with data scientists engineers and stakeholders to understand project requirements and deliver solutions.
Collaborate with UI/UX teams to integrate AI models into applications.
Participate in Agile workflows including daily stand-ups sprint planning and retrospectives
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