MLOps Engineer

3 weeks ago

Bengaluru, India Nasugroup Full time

We are looking for a strategic and hands-on professional to lead the development of governance frameworks and enablement processes for our unified AI platform built on Databricks. This role will be pivotal in empowering business incubation teams to leverage Data Science and AI effectively, while ensuring operational excellence, compliance, and scalability across the organization.

Key Responsibilities :


- Define and implement governance frameworks for Data Science / AI and MLOps on Databricks.

- Establish and maintain standards for data access, data handling, model lifecycle management, and auditability.

- Design and document scalable processes for data ingestion, feature engineering, model training, deployment, and monitoring.

- Collaborate with cross-functional business & IT teams to align platform usage with business needs.

- Conduct enablement sessions, workshops, and create onboarding materials for platform users.

- Promote reuse of components, templates, and pipelines across teams.

- Drive automation of CI/CD pipelines for ML models using MLflow and other tools.

- Evaluate and integrate observability tools into the platform ecosystem.

- Foster a community of practice around Data Science & AI, engineering, and MLOps.

Technical Skills :


- Databricks (including MLflow, Delta Lake, Unity Catalog)

- Apache Spark

- Python and SQL

- CI/CD tools (e.g., Azure DevOps, GitHub)

- Cloud platforms (Azure, AWS, or GCP)

- Infrastructure-as-Code (e.g., Terraform)

- Data & AI governance and security best practices

- Monitoring and observability tools for ML (e.g., Evidently, Prometheus, Grafana)

Soft Skills :


- Strong communication and stakeholder management

- Strategic thinking and problem-solving

- Ability to translate technical concepts for non-technical audiences

- Collaborative mindset and team leadership

- Proactive and self-driven with a continuous improvement mindset

Qualifications :


- Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field

- 5+ years of experience in data engineering, data science, or MLOps roles

- Hands-on experience with Databricks and cloud-native data platforms

- Proven track record in establishing governance and scalable processes

- Familiarity with data privacy regulations (e.g., GDPR)

- Certifications in Databricks, Azure, AWS, or related technologies (preferred)


(ref:hirist.tech)

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