Opella.
AI Solution Expert
Skills
8 days ago
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Important information
Contract type:
Permanent
Location:
Telangana, India
Work mode:
Onsite
Published on:
13 October 2026
What they need
About the Company
Opella is the self-care challenger with the purest and third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally.
Our mission is to bring health in people’s hands by making self-care as simple as it should be. For half a billion consumers worldwide – and counting.
At the core of this mission is our 100 loved brands, our 11,000-strong global team, our 13 best-in-class manufacturing sites and 4 specialized science and innovation development centers. Headquartered in France, Opella is the proud maker of many of the world’s most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan.
B Corp certified in multiple markets, we are active players in the journey towards healthier people and planet. Find out more about our mission at www.opella.com.
About the Role.
As an AI Solutions Expert/Specialist, you will own the design, development, and deployment of artificial intelligence solutions that automate and optimize the end-to-end content lifecycle across a global CPG organization. You will work at the intersection of AI engineering and content operations — connecting proofs of concept, MVPs, and enterprise-grade platforms to streamline how content is generated, organized, and delivered across every consumer and professional touchpoint.
This includes finance, commercial, advertising, social media, e-commerce, email marketing, HCP communications, packaging, point-of-sale materials, in-store activations, and regulatory submissions.
Key Responsibilities.
Architect and lead AI-driven solutions that automate content creation, adaptation, review, approval, and distribution across all content channels and markets
Build and maintain production-grade applications on Microsoft Azure, leveraging 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 multi-modal AI systems into scalable content workflows
Design and implement data pipelines that connect AI models to enterprise content repositories, PIM systems, DAM platforms, and downstream delivery channels
Drive initiatives through the full lifecycle — from POC through MVP to enterprise-scale deployment — establishing engineering standards, CI/CD pipelines, observability, and governance at each stage
Collaborate cross-functionally with brand marketing, e-commerce, regulatory/legal, 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 continuously 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
General Business
Required Qualifications.
8+ years of experience in software/application development, 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/AI Services
Strong application development background — ability to build, ship, and maintain production-grade software, not just prototypes or notebooks
Proven experience with LLMs including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agentic architectures
Experience with generative AI for image, video, and/or multi-modal content creation
Solid experience designing and operating data pipelines in Azure (Azure Data Factory, Azure Functions, Event Grid, or equivalent)
Proficiency in Python and at least one additional enterprise language (C#, TypeScript, Java)
Strong understanding of API design, microservices architecture, containerization (Docker, Kubernetes/AKS), and cloud-native patterns
Experience deploying AI solutions through the full maturity curve: POC MVP enterprise production
Hands-on experience with DevOps and MLOps tooling — Azure DevOps or GitHub Actions, MLflow, model versioning, drift monitoring, automated retraining, and A/B testing in production
Working knowledge of database technologies including Cosmos DB, Azure SQL, and data lake architectures (Azure Data Lake, Blob Storage, Azure Synapse)
Experience building with AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen
Familiarity with front-end and full-stack patterns (React or Angular, FastAPI/Flask backends, serverless architectures) to deliver end-to-end solutions
Required Technical Skills.
Cloud & AI Platform
Azure AI Foundry, Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, Azure AI Search, Azure Document Intelligence, Azure Bot Service
Data Engineering
Azure Data Factory, Azure Synapse, Azure Event Hub / Event Grid, Azure Functions, Cosmos DB, Azure SQL, Blob Storage, Data Lake
AI/ML Frameworks
LangChain, Semantic Kernel, AutoGen, Hugging Face, PyTorch, TensorFlow, ONNX
Generative AI
Deep Agents, Agentic Workflow developments, multi-modal pipelines
DevOps & MLOps
Azure DevOps, GitHub Actions, Docker, Kubernetes / AKS, MLflow, Weights & Biases, model registry, CI/CD for ML
App Development
REST / GraphQL APIs, React or Angular, FastAPI / Flask, microservices, serverless, event-driven architectures
Security & Governance
Azure RBAC, Key Vault, Managed Identity, responsible AI tooling, content safety APIs
General Business
Languages: Python, TypeScript / JavaScript, SQL
Good to Have — Domain & Business Experience.
Experience working in or with CPG, FMCG, consumer health, or pharmaceutical organizations
Familiarity with consumer advertising and media production workflows (TV, digital, social, programmatic)
Exposure to social media content operations, scheduling platforms, and performance analytics
Understanding of e-commerce product content (product descriptions, A+ content, marketplace listings)
Awareness of email marketing and CRM-driven personalization tools (Salesforce Marketing Cloud, Adobe Campaign, or similar)
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 (Salsify, Akeneo, Adobe AEM, Bynder, or similar)
Understanding of regulatory submission, claims substantiation, and content compliance frameworks (FDA, EU MDR, local market regulations)
Exposure to localization and transcreation processes across global markets
Experience integrating with enterprise platforms such as SAP, Veeva, Salesforce, or Others
Azure certifications (AI Engineer Associate, 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
What You’ll Impact.
Speed and cost-efficiency of content production across global markets
Brand consistency and regulatory compliance across all consumer and professional touchpoints
Data-driven decision-making through AI-powered content insights and performance analytics
AI agentic automation and process efficiency gains
The organization’s long-term AI and content technology roadmap
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