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Opella

Global OTC & VMS self-care manufacturer

AI Solutions Expert

AI Application EngineeringUpdated on Nov 14
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of software or application development experience, with a significant portion focused on AI/ML solution engineering.
  • Hands-on expertise with Azure AI Foundry, Azure Document Intelligence, Azure AI Search, Azure OpenAI Service, and Azure Cognitive or AI Services.
  • A strong application-development background and the ability to build, ship, and maintain production-grade software, not only prototypes or notebooks.
  • Experience with large language models, including prompt engineering, fine-tuning, retrieval-augmented generation, and agentic architectures.
  • Experience with generative AI for image, video, or multimodal content creation.
  • Experience designing and operating Azure data pipelines using Azure Data Factory, Azure Functions, Event Grid, or equivalent tools.
  • Proficiency in Python and at least one additional enterprise language: C#, TypeScript, or Java.
  • Understanding of API design, microservices architecture, containerization with Docker and Kubernetes/AKS, and cloud-native patterns.
  • Experience deploying AI solutions from proof of concept through minimum viable product to enterprise production.
  • Hands-on experience with DevOps and MLOps tooling, including Azure DevOps or GitHub Actions, MLflow, model versioning, drift monitoring, automated retraining, and production A/B testing.
  • Working knowledge of Cosmos DB, Azure SQL, and data lake architectures such as Azure Data Lake, Blob Storage, or Azure Synapse.
  • Experience building with AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen.
  • Familiarity with front-end and full-stack patterns, including React or Angular, FastAPI or Flask backends, and serverless architectures.
  • Knowledge of Azure AI Foundry, Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, Azure AI Search, Azure Document Intelligence, and Azure Bot Service.
  • Knowledge of Azure Data Factory, Azure Synapse, Azure Event Hub or Event Grid, Azure Functions, Cosmos DB, Azure SQL, Blob Storage, and data lakes.
  • Knowledge of LangChain, Semantic Kernel, AutoGen, Hugging Face, PyTorch, TensorFlow, or ONNX.
  • Knowledge of deep agents, agentic workflow development, and multimodal pipelines.
  • Knowledge of Azure DevOps, GitHub Actions, Docker, Kubernetes/AKS, MLflow, Weights & Biases, model registries, and CI/CD for machine learning.
  • Knowledge of REST or GraphQL APIs, React or Angular, FastAPI or Flask, microservices, serverless systems, and event-driven architectures.
  • Knowledge of Azure RBAC, Key Vault, Managed Identity, responsible AI tooling, and content safety APIs.
  • Proficiency in Python, TypeScript or JavaScript, and SQL.

Responsibilities

  • Architect and lead AI-driven solutions that automate content creation, adaptation, review, approval, and distribution across content channels and markets.
  • Build and maintain production-grade applications on Microsoft Azure using Azure AI Foundry, Azure AI Search, Document Intelligence, Azure OpenAI Service, Azure Cognitive Services, and related platform services.
  • Integrate large language models, image-generation models, video models, and multimodal AI systems into scalable content workflows.
  • Design and implement data pipelines connecting AI models to enterprise content repositories, PIM systems, DAM platforms, and downstream delivery channels.
  • Drive initiatives through the full lifecycle, from proof of concept through minimum viable product to enterprise-scale deployment, establishing engineering standards, CI/CD pipelines, observability, and governance at each stage.
  • Collaborate with brand marketing, e-commerce, regulatory and legal teams, medical affairs, creative agencies, and IT to translate business needs into technical solutions.
  • Evaluate and integrate emerging AI technologies, foundation models, and Azure services to advance the content ecosystem.
  • Define governance standards for AI model usage, data quality, content compliance, brand safety, and responsible AI practices.
  • Mentor developers and engineers on AI/ML engineering patterns, cloud-native development, and Azure best practices.

Desired Qualifications

  • Experience working in or with CPG, FMCG, consumer health, or pharmaceutical organizations.
  • Familiarity with consumer advertising and media production workflows, including TV, digital, social, and programmatic media.
  • Exposure to social media content operations, scheduling platforms, and performance analytics.
  • Understanding of e-commerce product content, including product descriptions, A+ content, and marketplace listings.
  • Awareness of email marketing and CRM-driven personalization tools such as Salesforce Marketing Cloud or Adobe Campaign.
  • Experience with HCP and medical affairs communications in regulated environments.
  • Knowledge of packaging artwork, labeling workflows, and regulatory/legal review cycles.
  • Familiarity with point-of-sale and in-store activation material production.
  • Experience with PIM and DAM platforms such as Salsify, Akeneo, Adobe AEM, or Bynder.
  • Understanding of regulatory submissions, claims substantiation, and content compliance frameworks, including FDA, EU MDR, and local market regulations.
  • Exposure to localization and transcreation processes across global markets.
  • Experience integrating with enterprise platforms such as SAP, Veeva, or Salesforce.
  • Azure certifications such as AI Engineer Associate or Solutions Architect Expert, or equivalent.
  • Track record of working in AI Centers of Excellence or capability-building functions.
  • Experience managing vendor and agency relationships for AI tooling and creative technology.

About the Company

Opella

Global OTC & VMS self-care manufacturer

Opella makes a wide range of over-the-counter medicines, vitamins, minerals, and supplements for global consumers, covering about 100 brands and an 11,000-strong workforce. It develops, manufactures, and markets non-prescription health products that people can buy ready-made in stores for common needs such as pain relief, digestion, and allergy relief. The company differentiates itself with a large global manufacturing footprint (13 sites and 4 science and innovation centers) and its B Corp certification, signaling accountability to social and environmental standards. Its goal is to simplify self-care and put health in people’s hands for half a billion consumers worldwide.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Neuilly-sur-Seine, France
Founded
2018

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