Loading
Job Title: GDT Assistant Media Manager (MLOps/DevOps Engineer)
Location: Mumbai/Bangalore
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.
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.