AI Machine Learning Engineer (MLOps)

Location: Pune, India

Company

hirify.global provides IT consulting services, including AI and machine learning solutions.

What you will do

• Design, implement, and manage MLOps workflows, tools, and operational processes for AI/ML solutions.
• Oversee the stability, reliability, and operational health of machine learning models and pipelines.
• Manage model registration, versioning, lineage, reproducibility, deployment tracking, 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.

Requirements

• 8–10 years of experience in AI, machine learning, or related engineering roles.
• Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, and Azure ML.
• 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.
• Experience with dashboards and alerting tools such as Power BI, Tableau, or Databricks SQL dashboards.
• Bachelor’s or Master’s degree in Computer Science or a related field; familiarity with ML and data development processes in a telecommunications environment.

Nice to have

• Working knowledge of Git, CI/CD, scripting, and production support practices.

Culture & Benefits

• Fast-paced environment requiring self-direction and proactive problem-solving.
• Opportunity to translate governance principles into practical implementation plans.
• Work includes explaining complex technical risks and solutions to non-technical stakeholders.