- Develop, implement, and deploy machine learning models and algorithms for various applications.

- Hands-on experience with Computer Vision (Object Detection, Object Tracking, Recognition, segmentation and Classification etc) and NLP especially Transformers based models such (BERT, LLM etc)

- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to design and optimize ML solutions.

- Conduct data analysis and pre-processing to identify relevant features and improve model performance.

- Work on end-to-end ML projects, from data collection and cleaning to model training and evaluation.

- Improve existing machine learning models through continuous monitoring and iteration.

- Utilize cloud-based services (Azure, AWS) and frameworks for scalable ML model deployment .

- Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

Requirements:

- Bachelor's or Master's degree in Computer Science, Data Science, or related fields.

- 2 to 4 years of practical experience in building and deploying machine learning models.

- Strong programming skills in Python or another major programming language.

- Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn.

- Experience with data manipulation, data visualization, and database systems.

- Understanding of deep learning architectures and techniques.

- Knowledge of cloud platforms like AWS, Azure, or Google Cloud for ML model deployment.

- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

- Strong communication skills to collaborate effectively with team members and stakeholders.