Solution Architect (Machine Learning)
Location: Hybrid (primarily based in London – onsite and ad hoc)
Duration: 6 consecutive months
Price: £700pd to £900pd (negotiable – let us know what you want)
About work
As a Machine Learning Solutions Architect, you will support our sales and engineering teams to incubate and pilot industry-leading AI/ML and generative AI technologies with AI natives, large enterprises, small businesses, AI startups and scaleups. ,Expand. We help our customers innovate faster with solutions that use infrastructure from a variety of cloud providers, including bespoke hardware and AI accelerators.
In this role, you will identify, evaluate, and develop generative AI and AI/ML applications by applying key industry frameworks, technologies, and methodologies to solve problems. Help customers leverage AI within their overall cloud strategy by helping benchmark existing models, finding opportunities to use new models, developing migration paths, and assisting with cost-performance analysis. To do. You will work closely with internal and external cloud AI teams to remove roadblocks and shape the future of FrontRunner AI services. Overcome ambiguity, troubleshoot and find solutions, and learn quickly in a rapidly changing technology space.
Our AI solution architects accelerate your organization's ability to digitally transform your business using the best platforms, talent, and expertise. We leverage our cutting-edge AI stack to deliver enterprise-grade solutions that solve our customers' most important business problems.
Minimum qualifications:
• Master's degree in a STEM field or equivalent work experience.
• Experience using programming languages (e.g. Python, Julia), applied machine learning techniques, and ML frameworks (e.g. TensorFlow, PyTorch).
• Experience with AI approaches and methodologies (deep learning, NLP, computer vision, pattern recognition, LLM, diffusion models, etc.).
• Experience delivering technical presentations and leading business idea sessions.
Preferred qualifications:
PhD in computer science, engineering, or related technical field.
• Experience designing and deploying operational solutions using TensorFlow, PyTorch, and JAX machine learning frameworks.
• Experience in training and implementing open source LLMs such as Mixtral, Llama2, Falcon, etc.
• Experience training and fine-tuning models at scale (images, languages, videos, recommendations, etc.) using accelerators (GPU and ASIC).
• Experience with CI/CD solutions in the context of MLOps and LLMOps, including automation through Infrastructure as Code (IaC).
• Experience in performance and cost optimization of distributed training and multimodal LLMs.
• System design experience with the ability to design and describe data pipelines, machine learning pipelines, and machine learning training and delivery approaches.
• Knowledge and hands-on experience with GCP, AzureML, AWS Sagemaker and Bedrock cloud services.
responsibility:
• Become a trusted advisor to your customers by understanding their business processes and objectives. Build AI-driven business solutions across data, AI models, and infrastructure, and collaborate with our talented people to create and deliver full-stack AI solutions.
• Work with customers on PoCs to demonstrate how FrontRunner AI differentiates by demonstrating AI capabilities, tuning custom models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to model training/serving issues in cloud environments.
• Build and make technical assets such as scripts, templates, and reference architectures available to customers and internal teams. Collaborate cross-functionally to influence strategy and product direction at the intersection of infrastructure and AI/ML by advocating for a wide range of customer requirements and use cases.
• Provide leadership and coordination of regional AI engineers and solution architects and work closely with product and partner organizations on external enablement activities. Travel if necessary.
