About Senior AI Software Engineer (basically a and I quote a "turbonerd") Fully Remote Up to $220,000 + SUPER I know you are here to read an advert, but to liven things up a bit.
Let's kick off with some jokes, apologies in advance.
First off an AI themed joke: Why did the AI developer break up with the neural network?
Because it had too many hidden layers!
Secondly a law themed joke (give our client works in the legal-tech space): Why do lawyers love coding in Python?
Because it's always in their nature to handle exceptions!
Now onto why you are here… a job & a good one at that!
Our client is a company at the forefront of artificial intelligence and machine learning - they specialise in developing cutting-edge solutions in NLP and LLMs, pushing the limits of what's possible in AI.
Their expert team tackles complex projects, from deploying state-of-the-art models to optimizing performance and integrating advanced AI solutions into their product offerings.
This is a fantastic opportunity to be part of a company that's shaping the future of AI.
As one of their 'tubonerds', you'll be responsible for developing and maintaining AI systems, focusing on LLMs, NLP, and machine learning.
You'll work with different teams to build and improve data pipelines, train advanced models, and create innovative AI solutions .
This role requires strong experience in building scalable AI systems, solid programming skills, and a passion for staying up to date with industry trends.
Responsibilities: Design, develop, and maintain AI-driven solutions, with a focus on LLMs and NLP technologies.
Build and optimize data processing pipelines to support large-scale model training and inference Collaborate with data scientists and engineers o integrate models into production environments.
Fine-tune and optimize pre-trained language models to meet specific application needs.
Conduct thorough testing and performance evaluations to ensure model accuracy and eSiciency.
Develop automated model training and deployment workflows using MLOps practices.
Implement data augmentation and preprocessing techniques to improve model robustness.
Stay up to date with the latest advancements in AI and machine learning and incorporate new technologies where relevant.
Skills & Experience: Mentor junior team members and provide technical guidance on AI best practices.
Strong experience in AI and machine learning, with a focus on LLMs and NLP.
Proficient in Python and familiar with tools like PyTorch, TensorFlow, and Transformers.
Good understanding of deep learning models like RNNs, CNNs, and Transformers.
Experience with data processing tools such as Apache Spark or Dask Knowledge of MLOps, including CI/CD for model deployment.
Familiar with cloud platforms like AWS, Azure, or GCP for AI projects.
Strong problem-solving skills and ability to work with complex data.
Clear communication and teamwork skills to collaborate effectively.
How to win bonus points: You have an active GitHub or Hugging Face and are regularly committing to personal projects or the wider community!
Please send us any links or projects you'd love to show off!
Send us you best on-brand joke