Skip to content NewVision Softcom & Consultancy is seeking a full-time Sr. Python Developer to design, develop, and deploy AI/ML applications with a focus on Retrieval-Augmented Generation (RAG) and vector-based search solutions. This hybrid role requires expertise in Python, Azure cloud services, and modern AI/ML frameworks.
Job Overview
| Details | Information |
|---|---|
| Company | NewVision Softcom & Consultancy |
| Location | San Francisco, CA, USA (Hybrid) |
| Employment Type | Full-time |
| Experience Required | 5–10 years |
| Education | Bachelor’s or Master’s degree in Computer Science, Engineering, or related field |
| Source | Indeed Listing |
Requirements
- 5+ years of Python development experience.
- Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).
- Hands-on experience with Azure cloud services (Machine Learning, Cognitive Search, AKS, Functions, Blob Storage).
- Proven experience in RAG pipelines and vector-based search solutions (ChromaDB, FAISS, Annoy).
- Familiarity with SQL/NoSQL databases, Azure Data Lake Storage, Docker, and Kubernetes.
- Understanding of CI/CD and DevOps practices.
- Strong analytical, problem-solving, and collaboration skills.
Responsibilities
- Design, develop, and deploy scalable AI/ML applications using Python.
- Implement RAG pipelines and vector-based search solutions for enhanced information retrieval.
- Build, maintain, and optimize data pipelines for AI/ML workloads.
- Collaborate with data scientists and engineers to translate requirements into solutions.
- Write clean, testable, and well-documented code.
- Troubleshoot issues in development and production environments.
- Stay current with AI/ML advancements, cloud technologies, and open-source libraries.
- Participate in code reviews and contribute to improving development processes.
Preferred Qualifications
- Experience with Azure AI services (e.g., Azure OpenAI Service).
- Familiarity with MLOps practices and NLP techniques.
- Contributions to open-source AI/ML projects.
How to Apply
Send your application via:
- Website / Application Portal: Indeed Listing
