Quick Overview
Job Description
Any one of the below Certification required
1) Databricks Certified Generative AI Engineer Associate
2) Google Cloud Professional Machine Learning Engineer
3) NVIDIA Certified Professional – Agentic AI (NCP-AAI)
4) AWS Certified AI Practitioner
Job Description:
Experience: 8-10 years of professional experience in Python software development.
Expertise in Python: Profound knowledge of Python, its ecosystems, and popular frameworks (e.g., Django, Flask, FastAPI).
Software Design: Strong understanding of software design principles, architectural patterns (e.g., Microservices, MVC), and object-oriented programming. Database Skills: Proficiency with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Cassandra).
API Development: Extensive experience in designing and building RESTful APIs.
Hands-on experience with LLM tools/frameworks (e.g., LangChain, OpenAI APIs, etc.)
Knowledge of NLP concepts and techniques
Cloud Platforms: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated services.
Containerization: Experience with Docker and container orchestration tools like Kubernetes. CI/CD: Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
Testing: Strong understanding of testing methodologies and experience with unit, integration, and end-to-end testing.
Version Control: Proficient with GitHub and collaborative development workflows.
Problem-Solving: Proven ability to analyze complex problems and develop creative and effective solutions.
Strong problem-solving and analytical thinking
Good communication and stakeholder management skills
Ability to work independently and in a team environment
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