Commergence
Company:
https://www.linkedin.com/company/commergence
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
Responsibilities
- Design, implement, and manage end-to-end ML pipelines for model training, testing, and deployment
- Deploy and maintain machine learning models in production environments
- Develop and optimize data pipelines using SQL (mandatory)
- Work closely with Data Scientists and Data Engineers to operationalize ML models
- Build and maintain CI/CD pipelines for ML workflows
- Monitor model performance and ensure scalability and reliability
- Utilize Databricks for data engineering, model development, and deployment
- Ensure best practices in data governance, versioning, and reproducibility
- Troubleshoot and resolve production issues efficiently
Qualifications
- Strong experience in ML Ops (Model Deployment, Monitoring, CI/CD)
- Hands-on experience with Databricks
- Strong SQL expertise (mandatory) for data manipulation and pipeline development
- Good communication and stakeholder management skills
- Experience with cloud platforms (AWS/Azure/GCP)
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4+ years of relevant experience in ML Ops / Data Engineering / ML Engineering
Skills: databricks,ml,ops
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