Assistant Manager, Media tools

Job Title: Assistant Manager, Media tools

Location: Mumbai

ABOUT UNILEVER:

Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.

Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.

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

• 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.

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