GDT Assistant Media Manager(MLOps/DevOps Engineer)

Posted 4 Days Ago
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Hiring Remotely in Mumbanho, Moxico, AGO
Remote
Senior level
Other
The Role
Design, build, and maintain CI/CD pipelines, containerized deployments, and monitoring for multi-agent media tools. Optimize performance, ensure security and data governance, and collaborate with engineers and data scientists to streamline ML model deployment and retraining.
Summary Generated by Built In

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.

  • 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 fraudulent—please verify before proceeding.

Skills Required

  • 4 to 8 years of relevant experience
  • Strong background in DevOps/MLOps practices
  • Hands-on exposure to agentic frameworks (LangChain, AutoGen, CrewAI)
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and Kubernetes
  • Proficiency in CI/CD tools (GitHub Actions, Jenkins, ArgoCD)
  • Familiarity with ML lifecycle management tools (MLflow, Kubeflow, Weights & Biases)
  • Strong scripting skills (Python, Bash)
  • Experience with monitoring tools (Prometheus, Grafana, ELK stack)
  • Ensure compliance with security and data governance policies
  • Experience in media or content-driven environments
  • Knowledge of distributed systems and event-driven architectures
  • Detail-oriented and proactive in identifying system bottlenecks

Unilever Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unilever and has not been reviewed or approved by Unilever.

  • Healthcare Strength Healthcare coverage is described as comprehensive, spanning medical, dental, vision, life insurance, and occupational health support alongside a 24/7 employee assistance program. Wellbeing offerings such as health checks, resilience tools, and counseling support the perceived depth of health-related benefits.
  • Retirement Support Retirement support includes a 401(k) match that reaches up to 5% of base salary, strengthening the overall value of the package. Share and savings options are also referenced as part of longer-term financial support beyond salary.
  • Flexible Benefits Benefits customization is enabled through tools such as a “My Reward” system and a “Benefits Envelope” that allows employees to personalize selections. Flexible working approaches are also associated with improved overall satisfaction, reinforcing perceived choice and adaptability in the total rewards offering.

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The Company
HQ: London
155,459 Employees
Year Founded: 1872

What We Do

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. Our portfolio ranges from nutritionally balanced foods to indulgent ice creams, affordable soaps, luxurious shampoos and everyday household care products. We produce world-leading brands including Lipton, Knorr, Dove, Axe, Hellmann’s and Omo, alongside trusted local names and innovative-forward thinking brands like Ben & Jerry’s, The Dollar Shave Club and Dermalogica. 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.

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