Machine Learning Engineer - Artificial Intelligence
Description
Job Profile :
AI Machine Learning Engineer
Location :
Pune
Experience :
8 - 10 years
Must Have :
- Experience with MLOps processes and tools, SQL, Databricks, MLFlow and PowerBI/Tableau.
- Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.
- Strong SQL and data analysis skills for validation, troubleshooting, monitoring, and reporting.
- Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.
- Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards, or equivalent.
- Working knowledge of Git, CI/CD, scripting, and production support practices would be advantageous.
- Analytical and pragmatic, with the ability to interpret governance principles into implementation plans.
- Clear communicator who can explain complex technical risks and solutions to non-technical stakeholders.
- Self-driven and proactive, comfortable working in a fast-paced environment.
- Familiarity with ML and data development process in telco environment.
- Bachelor's or Master's degree in Computer Science or a related field.
Key Responsibilities:
- Responsible for designing, implementing, and managing MLOps workflows, tools, and operational processes for AIML solutions.
- Oversee the day-to-day stability, reliability, and operational health of ML models and ML pipelines.
- Manage model lifecycle operations, including model registration, versioning, deployment tracking, lineage, reproducibility, and governance.
- Implement monitoring for data drift, concept drift, model performance degradation, inference quality, and service-level issues.
- Develop and execute incident handling, recovery, rollback, and escalation plans for ML-related issues.
Required Skills :
1. Technical Skills :
- Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.
- Strong SQL and data analysis skills for validation, troubleshooting, monitoring, and reporting.
- Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.
- Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards, or equivalent.
- Working knowledge of Git, CI/CD, scripting, and production support practices would be advantageous.
2. Non-Technical :
- Analytical and pragmatic, with the ability to interpret governance principles into implementation plans.
- Clear communicator who can explain complex technical risks and solutions to non-technical stakeholders.
- Self-driven and proactive, comfortable working in a fast-paced environment.
3. Other Task-Specific Knowledge :
- Familiarity with ML and data development process in telco environment.
Education :
- Bachelor's or Master's degree in Computer Science or a related field.