AIML/Python developer/data Engineer (Image processing-MUST)

Experience - Minimum 5 years

The client has a Imaging Platform on which they intend to add AI components which can be used for analysing images for prediction.

Example:  Analysing MRI brain images for volume measurements to predict Alzheimer’s. 

We are seeking an experienced AI/ML Engineer to join our team. The successful candidate will be responsible for designing, developing, and deploying artificial intelligence and machine learning models to drive business value.

Key Responsibilities:

- Design, develop, and deploy AI/ML models using popular frameworks and libraries, such as TensorFlow, PyTorch, and scikit-learn

- Collaborate with cross-functional teams to identify and prioritize project requirements

- Collect, preprocess, and analyze large datasets to train and validate AI/ML models

- Develop and implement data pipelines to support AI/ML workflows

- Troubleshoot and debug issues related to AI/ML models and data pipelines

- Participate in code reviews and ensure high-quality code standards

- Stay up-to-date with the latest trends, technologies, and best practices in AI/ML

Requirements:

-Image processing is MUST

- Strong proficiency in Python programming language and popular AI/ML frameworks and libraries

- Experience with deep learning architectures, such as CNNs, RNNs, and LSTMs

- Strong understanding of machine learning algorithms, such as supervised and unsupervised learning

- Excellent problem-solving skills and attention to detail

- Strong communication and collaboration skills

- Bachelor's degree in Computer Science, Mathematics, or related field

Nice to Have:

- Experience with cloud-based AI/ML platforms, such as Google Cloud AI Platform or Amazon SageMaker

- Knowledge of DevOps practices and tools, such as Docker, Kubernetes, and Jenkins

- Experience with natural language processing (NLP) or computer vision

- Certification in AI/ML, such as Certified Data Scientist or Certified AI Engineer