AI Engineer

About fileAI

fileAI leverages proprietary AI to process any file end-to-end directly into any system without manual intervention. By streamlining repetitive workflows, fileAI enables teams to focus on higher-value tasks and boost productivity.

How you’ll contribute

• Bridge the chasm between technology and product by bringing the capabilities of Generative AI to life within the fileAI product suite. Help fileAI customers experience and realize the promise of Vision Language Models, Large Language Models, and Reasoning Models.
• Design, implement, and deploy machine learning models, deep learning models, and AI-driven features within our SaaS platform, particularly using Natural Language Processing.
• Work with large datasets, clean and preprocess data, and perform exploratory data analysis (EDA) to identify patterns and insights.
• Develop and select meaningful features for predictive models, ensuring high accuracy and efficiency. Engage in rigorous benchmarking of fileAI models both internally and externally to ensure best-in-class status.
• Optimise models for performance, scalability, and real-time use cases in a production environment.
• Have a seat at the table to define the product strategy of the business by partnering with product managers, software engineers, and data scientists to ensure AI models meet business requirements and align with product roadmaps.
• Monitor and update models post-deployment, ensuring they continue to deliver high-quality results, and fine-tune based on real-time data.
• Stay current with the latest AI research and advancements in machine learning and AI technologies. Propose and implement new algorithms, architectures, and tools. Engage in thought leadership in the AI space through public speaking, writing, and upskilling colleagues.
Maintain clear documentation for AI models, systems, and processes to ensure transparency and knowledge sharing within the team.

Who you are

• Strong communication and teamwork skills, with the ability to explain complex technical concepts to non-technical stakeholders. High ethical standards for responsible use of AI.
• Proven experience in AI/ML engineering or related fields, ideally within a SaaS or cloud-based environment and/or an early-stage startup.
• Proven experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience either building agentic workflows, logging, tracing, and monitoring LLM calls, or deploying AI features into existing products.
• Strong proficiency in Python (other languages such as R, Java, or C++ are a plus).
• Experience with cloud services like AWS, Azure, or Google Cloud Platform (GCP) for model deployment and scaling.
• Solid understanding of data structures, algorithms, and software engineering best practices.
• Expertise in model development, training, and evaluation (classification, regression, clustering, NLP, etc.) - including documenting the process for explainability purposes.
• Strong background in data preprocessing, feature engineering, and time-series analysis.
• Experience with version control (Git) and agile development methodologies.
• Familiarity with MLOps practices, model versioning, and CI/CD pipelines for AI applications.
• Excellent problem-solving and debugging skills.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.

Perks & Culture

• Competitive salary and performance-based incentives.
• Dynamic and collaborative work environment.
• Grow & learn with a fast-growing organisation.

Please submit your application via this form: https://forms.gle/R18NN7h53BYVA4299