GDT Assistant Media Manager

Job Title : GDT Assistant Media Manager (MLOps/DevOps Engineer)

Location: Mumbai/Bangalore

ABOUT UNILEVER:

Background:

For Unilever to remain competitive in the future, the business needs to continue the path to becoming data intelligent. The Global Digital Technology team will empower HUL s journey to becoming an Intelligent Enterprise - powering key decisions with data, insights, advanced analytics, and AI. Our ambition is to enable democratization of data, information and insights as a completely agile organization that builds fantastic careers for our people and is accountable for delivering great work that maximizes impact and delivers growth.

We would be accountable for impact of solutions, maintaining market relevance and driving customer and consumer value from analytics products. You ll collaborate with global product and technical teams, business stakeholders, and cross-functional partners to ensure successful project execution.

Role Overview
We are looking for an MLOps/DevOps Engineer to ensure reliable deployment, monitoring, and scaling of our multi-agent media tool. This role will focus on infrastructure, automation, and performance optimization.

Key Responsibilities

• Experience 4 to 8 Years

• Build and maintain CI/CD pipelines for agent and ML model deployments.

• Containerize applications (Docker/Kubernetes) and manage cloud/on-prem environments.

• Implement monitoring, logging, and alerting for agent workflows.

• Optimize system performance and resource utilization.

• Ensure compliance with security and data governance policies.

• Collaborate with engineers and data scientists to streamline model deployment and retraining.

Required Skills Experience

• Strong background in DevOps/MLOps practices.

• Hands-on exposure to agentic frameworks (e. g. , LangChain, AutoGen, CrewAI) through projects, prototypes, or deployments, with a willingness to deepen expertise in multi-agent orchestration

• Hands-on experience with cloud platforms (AWS, Azure, GCP) and Kubernetes.

• Proficiency in CI/CD tools (GitHub Actions, Jenkins, ArgoCD, etc. ).

• Familiarity with ML lifecycle management tools (MLflow, Kubeflow, Weights Biases).

• Strong scripting skills (Python, Bash).

• Experience with monitoring tools (Prometheus, Grafana, ELK stack).

Preferred Experience

• Exposure to agentic frameworks or AI deployment pipelines.

• Experience in media or content-driven environments.

• Knowledge of distributed systems and event-driven architectures.

Ideal Candidate

• Detail-oriented and proactive in identifying system bottlenecks.

• Strong focus on reliability, scalability, and cost-efficiency.

• Comfortable collaborating with cross-functional teams in a dynamic environment.

Note: All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent-please verify before proceeding.