Work Mode: Work From Office (Monday-Friday) + Work From Home (Saturday)
Experience: 1+ Years
Employment Type: Full time
About the Role
We are looking for passionate AI/ML Engineers who have hands-on experience building and deploying machine learning solutions in real-world environments. This role is ideal for professionals who have worked beyond experimentation and have successfully taken ML models from development to production.
The selected candidate will be responsible for designing, deploying, monitoring, and improving machine learning systems that solve business problems at scale.
Key Responsibilities
- Develop, train, evaluate, and deploy machine learning models in production environments.
- Build end-to-end ML pipelines covering data ingestion, feature engineering, model training, deployment, monitoring,
and retraining.
- Create scalable inference services and optimize model performance.
- Design and implement MLOps workflows for model lifecycle management.
- Work with structured and unstructured datasets to build reliable AI solutions.
- Collaborate with cross-functional teams to translate business requirements into ML solutions.
- Implement model monitoring, drift detection, A/B testing, and performance tracking.
- Improve model accuracy, latency, scalability, and operational reliability.
- Automate deployment and retraining workflows using cloud-native tools.