Job Overview
Creating AI algorithm prototypes based on project specifications. Running tests to assess AI performance. Analyzing data gathered during tests to identify strengths and weaknesses of AI. Implementing changes to algorithms to improve AI performance.
Responsibilities
- Strong hands-on implementation of Artificial Intelligence / Machine Learning / Deep Learning algorithms / Natural Language Processing / Generative AI / Prompt Engineering.
- Experienced in playing the role of full-stack development and taking solutions to production.
- Proficiency with OpenCV, scikit-learn, KERAS, and TensorFLow.
- Extensive hands-on experience in Python.
- Experience in MySQL, NoSQL and BigData.
- Familiarity with code versioning tools such as Git.
- A degree in software engineering, information technology, or a related field
- Experience in GPU programming.
- Experience with Scalable Cloud Deployment Architecture.
- Experience with cloud computing platforms such as AWS / Azure / GCP.
- Experience on CI/CD including MLOps.
Qualifications
Experience: 4 – 5 years
Any IT background / bachelor’s degree in computer science or a related field.