Machine Learning Engineer
Machine Learning Engineer
Posted on :
09-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
About the Role
You will be responsible for optimizing endtoend ML pipelines automating workflows managing model lifecycle operations (MLOps) and ensuring AI systems are scalable and costefficient. You will embrace a buildmeasurelearn approach continuously iterating and improving models for performance and reliability.
Responsibilities
- Design develop and maintain ML models to solve business challenges and drive automation.
- Implement and optimize ML algorithms for efficiency scalability and AIpowered insights.
- Conduct experiments A/B testing and model evaluations to improve performance.
- Develop containerize and deploy AI/ML systems in production environments using best practices.
- Automate and streamline ML pipelines ensuring smooth transitions from development to production.
- Monitor and troubleshoot the performance accuracy and drift of ML models in production.
- Execute and automate model validation tests ensuring robustness and reliability.
- Optimize training and inference workflows enhancing model efficiency and speed.
- Manage model versioning deployment strategies and rollback mechanisms.
- Implement and maintain CI/CD pipelines for ML models ensuring smooth integration with engineering workflows.
- Review code changes pull requests and pipeline configurations to uphold quality standards.
- Stay updated with emerging AI/ML technologies MLOps best practices and cloudbased ML platforms.
Skills and Qualifications
- Strong programming skills in Python or R with experience in ML frameworks (TensorFlow PyTorch Scikitlearn).
- Experience deploying and maintaining ML models using Docker Kubernetes and cloudbased AI services (AWS Sagemaker GCP Vertex AI Azure ML).
- Solid understanding of MLOps principles including CI/CD for ML models model monitoring and automated retraining.
- Knowledge of data engineering principles data preprocessing and feature engineering for ML pipelines.
- Familiarity with workflow orchestration tools.
- Experience with realtime model serving and API deployment.
- Strong analytical and problemsolving skills with a keen attention to detail.
- Ability to collaborate crossfunctionally and work in a fastpaced AIdriven environment.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
