Junior AI Engineer

Requirements: 1

Experience : 0 to 2.5 years (6 months as probation junior AI engineer)

Responsibilities:

1. Collaborate with the AI team to understand, learn, and contribute to the research, development, and evaluation of computer vision and deep learning models and algorithm.

2. Assist in exploring and analysing unstructured data like images through image processing techniques using OpenCV.

3. Aid in the deployment of computer vision models into production under supervision.

4. Engage in learning and exploring deep learning algorithms and model families.

5. Contribute to building foundational knowledge in production-ready deep learning models.

6. For >1year’s experience, you are expected to participate in all Agile ceremonies (stand-ups, sprint planning, retrospectives) to ensure rapid delivery and continuous improvement of AI features.

Required Skills:

1. Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, Deep Learning, Computer Vision or related fields.

2. Eagerness to upgrade and develop skills in computer vision and deep learning.

3. Understanding of computer vision and deep learning algorithms.

4. Familiarity with Python, TensorFlow, Keras, PyTorch, OpenCV and willingness to learn related packages.

5. Strong analytical and problem-solving skills.

6. Curiosity and motivation to excel in the field of Data Science and Image Processing.

7. Must have good communication skills.

Preferred Skill:

1. Exposure to machine learning frameworks like TensorFlow, Keras, PyTorch, OpenCV.

2. Exposure with image processing algorithms.

3. Interest in exploring cloud computing environments.

4. Certification in Deep Learning or Computer Vision.

5. Good to have experience in computer vision and/or deep learning.