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Posted 16 June, 2026

AI Solutions Expert

Opella
Hyderabad, TG, IN Full Time
Reference: 03e90a316a0341ab

Job Description

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. As a globally certified B Corp company, we are active players in the journey towards healthier people and planet. Find out more about our mission on our website.

Website


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.


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


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 Skills

  • Domain Technologies & Tools
  • 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
  • Languages: Python, TypeScript / JavaScript, SQL


Preferred Skills

  • 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

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