We are looking for a Senior AI/ML Engineer to lead the development and integration of advanced artificial intelligence solutions for our academic conference platforms and digital products. This is a key role where you will design, build, and deploy AI systems that improve business operations, enhance customer experience, and support future innovation across multiple projects.
Key Responsibilities
- Data & Model Development
- Build pipelines for data collection, preprocessing, and structuring.
- Fine-tune and optimize AI/ML models for domain-specific use cases.
- Ensure scalability, accuracy, and robustness of deployed models.
- AI Integration & Applications
- Integrate AI models into websites, customer-facing tools, and internal systems.
- Develop AI-driven automation platforms for support, content, and operations.
- Collaborate with product and engineering teams to embed AI seamlessly into workflows.
- Innovation & Research
- Stay ahead of the latest advancements in AI, machine learning, and natural language processing.
- Propose and experiment with new AI use cases to drive efficiency and value.
- Provide technical leadership on AI strategy and roadmap.
Requirements
- Proven experience as a Senior AI/ML Engineer, Data Scientist, or related role.
- Strong expertise in machine learning, deep learning, and natural language processing.
- Proficiency with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
- Solid experience in Python and ML libraries (pandas, NumPy, scikit-learn, etc.).
- Strong background in data engineering, pipelines, and model deployment in production.
- Familiarity with cloud platforms (AWS, GCP, or Azure) for AI solutions.
- Excellent problem-solving, architectural design, and system-integration skills.
- Ability to communicate complex ideas clearly and collaborate with cross-functional teams.
Nice to Have
- Experience with generative AI and LLM fine-tuning.
- Knowledge of retrieval-augmented generation (RAG) pipelines.
- Familiarity with workflow automation or multi-channel AI platforms.
- Exposure to recommendation systems, predictive analytics, or intelligent search.
Work Setup
- Full-time position
- Hybrid work model – flexibility to work remotely, with some required office days for collaboration.
Industry
Academic conferences, publishing, and educational technology.