01Overview
Roles and Responsibilities
- Design, develop, test, deploy, and maintain scalable data pipelines using Python and MLOps tools.
- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
- Develop machine learning models using deep learning techniques and implement them in production environments.
- Troubleshoot issues related to data quality, model performance, and deployment errors.
- Stay up-to-date with industry trends in AI/ML/DL technologies and apply this knowledge to improve existing systems.
- Monitoring and Deployment
Desired Candidate Profile
- 3-5 years of experience in Data Engineering or Software Development background with expertise in Python programming language.
- Robust understanding of Machine Learning concepts including supervised/unsupervised algorithms, neural networks, etc. .
- Experience working on big data processing frameworks like Spark/Hadoop/Kafka; familiarity with cloud platforms (Azure/GCP/AWS).
- Bachelor's degree in Any Specialization (B.C.A., B.Sc.). .
