Requirements

Expected technologies

TensorFlow

PyTorch

Python

LLM

AWS

Azure DevOps

Operating system

Windows

Our requirements

• Excellent computer science fundamentals in algorithmic design, data structures, and analysing complexity.
• Design and implement solutions for deploying applications onto Kubernetes clusters in cloud environments (AWS, Azure, Google Cloud, etc.) using Helm charts and Docker Compose.
• Experience with machine learning, deep learning, NLP, and computer vision
• Design and implement MLops monitoring and observability pipeline.
• Strong knowledge of AI frameworks such as TensorFlow or PyTorch
• Three to Five years of experience in applying AI to practical and comprehensive technology solutions.
• Experience with ML, deep learning, TensorFlow, Python, NLP
• Experience in program leadership, governance, and change enablement
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
• Analytical ability required in identifying user problems and creativity required to present effective AI solutions.

Your responsibilities

• Design and develop AI models and algorithms from scratch.
• Design, test, and refine prompts for LLMs to optimise performance across various use cases, ensuring alignment with business objectives and user needs.
• Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction.
• Manage the data flow for effective AI deployment.
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
• Articulate and document the solutions and lessons learned for each exploration and accelerated incubation
• Manage a team in conducting assessments of the AI and automation market and competitor landscape
• Work with stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
• Work with BIG data, crunching millions of samples for statistical modelling, data mining, recommendation solutions.
• Develop and finetune Large Language Model technology, customising it to use cases.
• Build and ship scalable software for AI tasks
• Collaborate with development teams to integrate application development with deployment processes.
• Deliver support to business users for deployed AI solutions and optimisations.