Total Experience - 4 Years and above

Location- Bangalore

Notice Period - Max 15 days

Job Description:

Design, build, train, evaluate, and optimize machine learning models for a variety of business use cases.
Develop and maintain end-to-end ML pipelines for data preparation, feature engineering, model training, validation, and deployment.
Leverage the Machine Learning Platform (MLP) to accelerate model development and experimentation.
Collaborate with data scientists and cross-functional teams to translate business requirements into machine learning solutions.
Monitor model performance, retrain models as needed, and continuously improve model accuracy and efficiency.
Ensure ML solutions follow best practices for scalability, security, reproducibility, and governance.
Document model development processes, experiments, and deployment procedures.
Stay current with emerging machine learning techniques, tools, and industry best practices.

Essential functions

Develop and maintain feature engineering pipelines and model versioning strategies.
Monitor deployed models for performance, drift, and reliability, retraining models as needed.
Implement MLOps best practices, including CI/CD for machine learning workflows.
Optimize algorithms for scalability, latency, and resource utilization.
Conduct experiments and A/B testing to validate model effectiveness.
Ensure data security, privacy, and compliance with organizational and regulatory standards.
Document model architectures, experiments, and deployment processes.
Stay current with advancements in machine learning, artificial intelligence, and cloud technologies.
Troubleshoot production issues related to machine learning services and pipelines.
Mentor junior engineers and contribute to technical knowledge sharing within the team.

Qualifications

ML modelling

We offer

Machine Learning Engineer

Job Description