{"@context":"https://schema.org/","@type":"JobPosting","title":"AI Engineer
Role details
Job location
Tech stack
Job description
You will be joining our Product org a cross functional team of software engineers machine learning specialists domain experts and product specialists focussed on building a suite of capabilities for intelligence analysts working across Defence and National Security.
You will build AI products designed to move the human up the value chain thereby enabling intelligence analysts to act with speed clarity and confidence.
We are looking for someone to leverage their expertise in AI / ML engineering to design develop and deploy innovative machine learning and algorithmic solutions. We want someone adept at building models that solve hard problems., Design and develop machine learning models and algorithmic solutions that address complex real-world challenges for users in Defence and National Security.
Partner with product managers product engineers and domain experts to deliver ML-powered features from concept through to production.
Engineer solutions with a deep understanding of algorithmic complexity and the operational cost of running models at scale.
Communicate model choices assumptions and tradeoffs with clarity - whether youre speaking to fellow engineers product stakeholders or end users.
Contribute to the development of robust user-facing AI capabilities that are both high-performing and reliable - shipped fast and iterated with care.
Take full ownership of your work : from early experimentation through to deployment monitoring and ongoing optimisation.
Help maintain the health and resilience of our production systems debugging distributed pipelines when things go wrong.
Stay close to the frontier of ML and AI research continuously exploring ways to apply emerging techniques and tools to deliver better outcomes for users.
Requirements
Advanced degree (Masters or PhD) in Computer Science Machine Learning NLP or a related technical field.
3 years of hands-on experience applying machine learning in production settings ideally within enterprise or mission-critical environments.
Practical expertise with Generative AI techniquesfine-tuning and evaluating large language models (LLMs) building RAG pipelines and experimenting with agentic AI workflows.
Strong Python development skills and familiarity with modern ML and NLP frameworks and tooling (e.g. Hugging Face spaCy PyTorch Scikit-learn).
Familiarity with Kubernetes and infrastructure for deploying and scaling ML models is a plus.
Exposure to systems integration challenges (e.g. connecting ML workflows with data stores like PostgreSQL or search systems like Elasticsearch) is valued.
Clear confident communicator who thrives in cross-functional settings and can bridge the gap between technical depth and product impact.
A curious mindset - you stay sharp by experimenting with new tools and refining your approach based on what works., ASP.NET,Health Education,Fashion Designing,Fiber,Investigation