HI,
Job Title: Senior Python Full
Stack Developer – AI/ML
Location : RTP NC, San Jose CA, SFO CA
Duration: 6+ months
Job Summary:
- We are seeking an experienced and highly skilled Senior
Python Full Stack Developer to lead the design, development, and
deployment of cutting-edge AI-driven solutions.
- This role focuses on creating advanced AI applications,
including Generative AI systems like chatbots, data retrieval platforms,
and analytics tools.
- The ideal candidate will bring expertise in Python
development, a robust understanding of AI/ML technologies, and the ability
to seamlessly integrate on-premises infrastructure with Azure/AWS AI cloud
services.
Key Responsibilities:
- Collaborate with cross-functional teams to conceptualize,
design, and implement AI-powered solutions.
- Develop and maintain end-to-end software applications using
Python and other modern frameworks.
- Design and implement scalable APIs and backend services for
Generative AI applications such as chatbots and data analytics platforms.
- Build responsive and intuitive front-end interfaces using
modern JavaScript frameworks (React, Angular, or Vue.js).
- Develop and integrate machine learning models into
applications, ensuring performance and scalability.
- Leverage cloud platforms (Azure, AWS) to deploy AI models,
ensuring secure and efficient integration with on-premises systems.
- Drive the adoption of DevOps practices, including CI/CD
pipelines, containerization (Docker), and orchestration (Kubernetes).
- Ensure code quality and maintainability through unit testing,
code reviews, and adherence to best practices.
- Troubleshoot and resolve complex technical challenges in
real-time AI applications.
- Stay updated on emerging AI/ML and full-stack development
trends to incorporate innovative solutions.
Qualifications:
- Education: Bachelor’s or master’s degree in computer
science, Software Engineering, or a related field.
Experience:
- Minimum 6–8 years of professional experience in full-stack
development, with a focus on Python and AI/ML technologies.
- Strong expertise in Python frameworks (Django, Flask,
FastAPI) and front-end frameworks (React, Angular, Vue.js).
- Hands-on experience with machine learning frameworks and
libraries, such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face.
- Proficiency in developing and deploying AI/ML models in cloud
environments like Azure AI, AWS SageMaker, or Google AI Platform.
- Deep understanding of integrating on-premises systems with
cloud-based AI solutions.
- Experience with relational and NoSQL databases (PostgreSQL,
MySQL, MongoDB).
- Familiarity with containerization (Docker) and orchestration
tools (Kubernetes).
- Knowledge of CI/CD pipelines and infrastructure as code tools
(Jenkins, Terraform, or Ansible).
- Strong problem-solving skills and the ability to work in
fast-paced, dynamic environments.
Preferred Skills:
- Experience with Natural Language Processing (NLP) and
Generative AI models like GPT, BERT, or similar.
- Knowledge of big data tools like Apache Spark or Hadoop.
- Familiarity with microservices architecture.
- Certifications in cloud platforms (Azure, AWS) or AI/ML
tools.
Thanks & Regards,
Andy
Saibber
And...@Saibber108.com
T: 717-610-1199 Extn 431
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