GDT Assistant Media Manager(MLOps/DevOps Engineer)

Job Title: GDT Assistant Media Manager (MLOps/DevOps Engineer) Location: Mumbai/Bangalore ABOUT UNILEVER: Be part of the worlds 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 HULs 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. Youll 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 multiagent 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/onprem 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 Handson 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 contentdriven environments. Knowledge of distributed systems and eventdriven architectures. Ideal Candidate Detailoriented and proactive in identifying system bottlenecks. Strong focus on reliability, scalability, and costefficiency. Comfortable collaborating with crossfunctional teams in a dynamic environment. Location Flexibility: Candidates should be willing to work from Mumbai initially for a few months, transition to Bangalore thereafter, and be flexible to travel to Mumbai as required based on business needs. Note: All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulentplease verify before proceeding. #LI-Onsite .