Lead AI Developer
- Aptara
- 5 - 10 years
- Pune
- 8 months ago
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Job Description
Role & responsibilities
- Understand workflows/processes and devise strategies for the areas applicable to AI-based implementation.
- Translate eLearning requirements into AI-driven automation strategies.
- Define data requirements and provide datasets for AI model training specific to eLearning.
- Design and maintain data pipelines (Azure Data Factory, Databricks, Synapse Analytics) to ensure clean, structured content for training.
- Apply governance frameworks (Azure Policy, Purview, DLP) to ensure responsible AI practices.
- Ensure fairness and transparency in AI models using Fair learn and Interpret ML.
- Develop and optimize AI models for automating eLearning processes, including interactive storyboards, content creation/development, and adaptive/customised learning paths.
- Leverage Azure Cognitive Services, Machine Learning Studio, and Azure OpenAI for scalable eLearning solutions.
- Use Adobe/other AI tools for automating audio narration, translation, video editing, and image creation for eLearning modules.
- Implement AI-driven workflows for converting text-based content into engaging eLearning assets.
- Design guardrails for ethical AI use in eLearning, ensuring compliance with GDPR and ISO 27001.
- Implement secure environments with Azure Key Vault, Security Center, and RBAC.
- Deploy AI models using Azure Machine Learning Pipelines and monitor performance.
- Set up CI/CD workflows for continuous optimization and scaling of AI solutions.
- Integrate AI into LMS and CMS primarily through APIs and custom integrations (with an extensibility consideration for integrating it with other platforms like Project Management Tool, Dashboards, etc.)
- Build AI-powered plugins for automating course creation, learner analytics, and feedback.
- Document AI workflows and provide training, architecture diagrams, and code snippets for team members.
Preferred candidate profile
- At least 5-8 years of experience deploying Machine Learning and Generative AI models into production with operational support.
- Advanced knowledge of Machine Learning and LLMs (e.g., GPT, Llama), with experience in LangChain, RAG, and model tuning.
- Proficient in MLOps tools (e.g., ML flow) for lifecycle management of machine learning models.
- Strong programming skills in Python, JavaScript, and RESTful APIs, with clean, efficient coding for AI Assistant and platform integrations.
- Experience with cloud computing platforms (AWS, Google Cloud, Azure) and cloud-based application deployment for model scaling.
- Deep knowledge of AI, NLP, and Conversational AI platforms (e.g., Bot Framework, PVA, Cognigy).
- Proficient in Azure AI Suite, including Cognitive Services, Machine Learning Studio, and other tools.
- Experience with Fairlearn, InterpretML, and adherence to GDPR, HIPAA, and ISO 27001 standards.
- Exposure to multimedia automation tools (e.g., Adobe AI tools) for video/image editing workflows.
- Exposure to eLearning development tools, and processes.
Job Classification
Industry: E-Learning / EdTechFunctional Area / Department: OtherRole Category: OtherRole: OtherEmployement Type: Full timeContact Details:
Company: AptaraLocation(s): Pune
Keyskills: Artificial Intelligence Natural Language Processing Machine Learning Cloud Computing Python Tensorflow LLM Deep Learning Automation Tools MLFlow Aws Sagemaker Aiml Microsoft Azure Deploying Models Ml Deployment Azure Machine Learning AWS Ml Pipelines
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