AIML Engineer - Python+GenAI
Job Description
About the Role
As an AIML Engineer - Python+GenAI at Tiger Analytics, you will be responsible for designing, developing, and deploying AI-powered solutions using Python and Generative AI technologies. Your primary focus will be on building scalable and efficient AI models that can be integrated with various applications. You will work closely with cross-functional teams to ensure seamless integration and deployment of AI solutions.
Key Responsibilities
- Design and develop AI-powered solutions using Python and Generative AI technologies.
- Build and deploy scalable and efficient AI models using cloud technologies.
- Collaborate with cross-functional teams to ensure seamless integration and deployment of AI solutions.
- Develop and maintain REST APIs using Flask and Django frameworks.
- Implement data structures and algorithms to optimize AI model performance.
- Stay up-to-date with the latest advancements in Generative AI and Large Language Models.
- Contribute to the development of AI solutions using FastAPI.
Skills & Qualifications
- Proficiency in Python programming language.
- Experience with REST APIs, Flask, and Django frameworks.
- Strong understanding of data structures and algorithms.
- Familiarity with Generative AI and Large Language Models.
- Knowledge of cloud technologies and cloud-based AI solutions.
- Bachelor's degree in Computer Science or related field.
- 0-4 years of experience in AIML engineering or related field.
What You'll Learn
As an AIML Engineer - Python+GenAI at Tiger Analytics, you will have the opportunity to learn and work with cutting-edge AI technologies, including Generative AI and Large Language Models. You will gain hands-on experience in designing, developing, and deploying AI-powered solutions, and will work closely with cross-functional teams to ensure seamless integration and deployment of AI solutions.
Resume Tip
When applying for this role, make sure to highlight your experience with Python, Generative AI, and cloud technologies. Include specific examples of AI-powered solutions you have developed or contributed to, and be prepared to discuss your understanding of data structures and algorithms.
Skills Required
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