Responsibilities

1) Build, train, and deploy machine learning models for business use cases.

2) Work with large datasets for predictive and prescriptive analytics.

3) Research and implement state-of-the-art AI algorithms (NLP, CV, deep learning).

4) Collaborate with data scientists and software teams to integrate AI solutions.

5) Monitor model performance and retrain models as required.

Qualifications

1) Bachelor’s/Master’s in Computer Science, Data Science, or AI specialization.

2) 3–6 years of hands-on ML/AI development experience.

3) Proficiency in Python, TensorFlow, PyTorch, Scikit-learn.

4) Strong understanding of statistics, algorithms, and data pipelines.

5) Experience with cloud ML services (AWS SageMaker, Azure ML, GCP AI).