Key responsibilities:

1. Developing and implementing machine learning algorithms and models using Python
2. Collecting, cleaning, and preprocessing data for analysis and model training
3. Collaborating with cross-functional teams to understand business requirements and translate them into AI solutions
4. Monitoring model performance, debugging code, and staying updated with the latest AI and Python advancements
5. Documenting work, sharing insights with stakeholders, and continuously optimizing AI solutions to meet evolving needs

Important requirements:

1. Should have 2+ years of working experience in AI and Python
2. Hands-on experience in classical ML models for classification, Regression, clustering, and recommendation systems
3. Should have a good understanding of probability and statistics, linear algebra, and various vectorization techniques
4. Ability to write REST APIs using Django/Flask/Fast API frameworks
5. Experience in Cloud AI services like AWS Sage Maker and Comprehend (or Azure/GCP)

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