- Strong 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 strong 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
Frameworks
- PyTorch
- TensorFlow
Cloud
- AWS
- AWS SageMaker
- AWS Bedrock
MLOps
- CI/CD
- Model Monitoring
- Model Versioning
Data Engineering
- Data Pipelines
- Data Ingestion
- ETL/ELT
- AI Pipeline Development
Soft Skills
- Ownership
- Problem-solving
- Communication
- Team collaboration
Nice-to-Have Skills Candidates with the following experience should be given preference:
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