JOB DETAILS

JOB DETAIL

- Take part in the entire cycle of product development and delivery from ideation to deployment and everything in between
- Work in collaborative, data-driven teams to build various products.
- Collaborate with cross-functional teams to identify areas where AI applications can stimulate business growth
- Conduct research and development processes for AI strategies
- Stay up-to-date on the latest AI emergencies relevant to the business domain
- Design, develop, and implement deep learning models for various applications.
- Customize deep learning model architecture to suit the requirements.
- Train and fine-tune deep learning models using large datasets.
- Evaluate and optimize deep learning models for accuracy and performance.
- Convert trained models to ONNX format for deployment.
- Deploy deep learning models
- Collaborate with cross-functional teams to integrate deep learning models into production systems.
- Stay up-to-date with the latest advancements in deep learning research.

REQUIRED WORK EXPERIENCE

- Any gender, Age up to 38 years old
- Experienced in 5 years in engineering or AI engineer up
- Experience in formulating and strategizing AI solutions
- Hands-on knowledge in machine learning, deep learning, Tensorflow, Python, NLP
- Experience in one or more specialized machine learning areas, e.g., NLP, deep learning, recommendation systems, computer vision, conversational AI, and reinforcement learning
- Proven experience in applying AI to practical and all-inclusive technology solutions
- Solid computer science fundamentals in computer networks, databases, operating systems, algorithms, data structures, etc.
- Knowledge of various deep learning model architectures.
- Strong ability to modify deep learning model architectures.
- Strong experience in deep learning, including experience with popular deep learning frameworks such as TensorFlow, PyTorch, and Keras.
- Experience with training deep learning models on large datasets.
- Experience with deep learning model deployments
- Experience with ONNX model conversion.
- Proficiency in Tensorflow.js.
- Strong programming skills in Python and proficiency with relevant libraries such as Numpy, Pandas, and Matplotlib.
- Ability to work independently and as part of a team.
- Excellent written and verbal communication skills.
- Keen interest in learning and working with an innovative technology stack