Scale SGP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are seeking an experienced engineer to join our team and play a pivotal role in building and scaling our product within a cloud and infrastructure development context. Forward Deployed ML Engineers (FDMLEs) work directly with our customers to build and own robust, production-grade services which directly integrate into their products. This exciting role lies at the intersection of customer delivery and ML engineering, providing you with a wealth of experience and stimulating both sides of your brain. In this role, your daily tasks may include engaging in discussions with customers and understanding their generative AI needs and using platform tools and packages to finetune and iterate on modeling experiments using Large Language Models (LLM) or Retrieval Augmented Generation (RAG).The ideal candidate will possess a deep understanding of cloud technologies, specifically Terraform, Kubernetes, and cloud infrastructure deployment practices.

You will:

• Own, plan, and optimize our customer’s Generative AI problems, thereby becoming the ML voice in the room that our customers turn to for solutions
• Understand the tools available for optimizing performance around LLMs and how to most appropriately apply or combine them in different scenarios
• Be analytically rigorous by asking probing questions of the data and results to root out model weaknesses
• Demonstrate strong proficiency for writing, testing, and debugging Python code, capable of solving programming problems such as basic algorithms and data structure manipulations
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Have strong communication skills and the ability to explain technical concepts to non-technical stakeholders
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Deeply understand the AI strategy, goals, and needs of the customers
• Build deep relationships with technical stakeholders at all levels and across all roles, both internally and externally
• Be able and willing to multi-task and learn new technologies quickly

Ideally you’d have:

• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Proficiency in reading and writing in Arabic
• Ability to and interest in traveling to the client site in the Middle East region at least one week each month
• 2+ years of full-time engineering experience post-graduation
• Proven experience scaling products, particularly in hyper-growth startup environments.
• Proficiency in Python and Terraform
• In-depth experience with Kubernetes for container orchestration
• Familiarity with major cloud providers, especially Azure, with a preference for exposure to AWS and GCP