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.