Qualification
Robust Python programming skills with experience in production-ready AI/ML code.
2 4 years of hands-on experience in Artificial Intelligence and Machine Learning.
Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Big Data, or a related field.
Experience with cloud platforms, preferably AWS (SageMaker, Bedrock), including:
Data pipelines
Model training
Model deployment
AI lifecycle management
Proven experience delivering AI solutions from concept to production.
Robust understanding of Machine Learning algorithms and Deep Learning frameworks (PyTorch, TensorFlow).
Basic understanding of MLOps concepts:
CI/CD
Model monitoring
Model versioning
Independent, proactive working style with robust ownership.
Excellent communication, teamwork, and English proficiency.
Key Responsibilities
Design and build scalable AI/ML data pipelines with CI/CD integration.
Develop, test, train, validate, and optimize Machine Learning and Deep Learning models.
Create and manage training and validation datasets, including synthetic data generation where required.
Apply and evaluate different AI models and approaches based on business use cases.
Build and maintain end-to-end AI pipelines from data ingestion through production deployment.
Deploy AI models on cloud platforms (preferably AWS SageMaker/Bedrock).
Monitor model performance and maintain production AI systems.
Translate business and technical requirements into robust AI solutions.
Collaborate with cross-functional teams to deliver scalable AI applications.
Must-Have Skills
Programming
Python
AI / Machine Learning
Machine Learning
Deep Learning
Production AI development
Model training
Model validation
Model deployment