- Navi Mumbai (Onsite)
- 68 Years
- Full Time
- Shift timings : 11 am 8 pm
- Exp with Python
- API Development
- Must Have
- Azure or AWS experience
- Must Have
- Sync/Async Service Calls
- Must Have
- Code Versioning
- Must Have
- SQL/NoSQL Database integration
- Must Have
- Expertise in programming languages
- Python (primary), JavaScript, SQL, NodeJS
- Expertise in configuring and designing SQL and NoSQL databases (eg. Mongo)
- Expertise in API integration and APP serving frameworks (Flask, Django, FAST API)
- Experience in Schema definitions, parsing payload types (XSD/XML, JSON, Byte/Binary Encoded images,), etc.,
- Experience in User Authentication and Authorization frameworks and Active Directory Integration (SAML, OAuth, etc.,)
- Exposure to Large Language Models (LLMs) and Generative AI application development is a must.
- Experience working on Azure AI/ML stack is required.
- Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker).
- Solid understanding of software development best practices, including version control, code reviews, and testing.
- Lead code reviews, mentor junior developers, and provide technical guidance to the team.
- Strong communication and collaboration skills.
- Ability to work independently and lead technical initiatives.
- Familiarity with continuous integration and continuous deployment (CI/CD) pipelines.
- Previous experience with healthcarerelated projects or HIPAA compliance is a plus.
- Experience with Django or Flask frameworks for web development.
- Knowledge of frontend technologies (HTML, CSS, JavaScript).
- Bachelor's degree in Computer Science, Software Engineering, or related field.
- 68 years of proven experience as a Python Developer, with a strong focus on backend development.
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Description
Senior Backend Python DeveloperWe are seeking an experienced Senior Python Developer to join our dynamic team. The ideal candidate will have a strong background in Python development, with a focus on API development, integration, and
experience in the deployment of machine learning pipelines. This is a crucial role in designing, implementing, and maintaining scalable and compliant Generative AI applications.
Must Have :