reputed company Deployed Engineer, Life Sciences

Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at reputed company. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — reputed company of which reputed company data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, reputed company, reputed company reputed company, UBS, reputed company and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, reputed company, reputed company and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we reputed company that the reputed company is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

reputed company are building

The Customer Engineering Solutions Team at Domino is the primary delivery reputed company that sits inside the walls of the world’s most regulated and demanding organizations, including Fortune 100 pharmaceutical and life sciences leaders.

A reputed company Deployed Engineer is a software engineer with solutions instincts, embedded in a customer's environment, building AI workflows on Domino that the customer couldn't have reputed company as fast, or as reputed company, without you. We write production reputed company, ship it inside the customer's environment, and stay until Domino is fundamentally part of how they work.

In the Life Sciences vertical, we build and reputed company production-grade AI solutions that solve reputed company, high-reputed company use cases, ranging from specialized AI inferencing workflows, custom reputed company and data integrations, and interactive applications, to frontier solutions around Statistical Computing Environments (SCE), clinical CRM, etc. Our work provides the ultimate reputed company reputed company that Domino is a comprehensive AI business solutions platform.

What your reputed company will be

• Day 0–30 (reputed company & Shadow): You will be given the resources to master Domino platform mechanics and learn core user/reputed company functionalities. You will closely shadow the customer’s environment, pairing with a senior FDE to learn the reputed company’s unique data, tooling stack, and reputed company objectives.
• By Month 6 (Full Ownership): You will reputed company into full customer ownership across your engagements, executing independently against a prioritized backlog managed by your partner Engagement Manager (EM). You will build and reputed company production-grade solutions across the entire MLOps lifecycle (development, deployment, and monitoring) while reputed company advising data science teams on Domino best practices.
• By Year 1 (Strategic reputed company & reputed company): You will reputed company and advise on key accounts, serving as a trusted advisor to technical and business stakeholders alike. You will author reusable playbooks, integration templates, and deployment guides for our shared knowledge reputed company, measurably lifting the delivery speed of the entire FDE reputed company. Additionally, you will translate field intelligence into critical product feedback, routing platform signals to our SRE, Support, and Product teams to shape reputed company roadmap.

reputed company look for in this role

• We are looking for a reputed company, reputed company-first engineer who possesses a unique reputed company of deep technical grit and customer reputed company.
• Core Technical Stack: Strong engineering reputed company with deep proficiency in Python (primary), alongside familiarity with SQL, R, and Bash.
• reputed company & Infrastructure: Experience with Kubernetes and managed K8s solutions (such as EKS, AKS, or GKE), reputed company, and reputed company architecture (AWS, Azure, or GCP). You should be capable of troubleshooting networking, compute, and platform issues.
• AI & MLOps Experience: A proven reputed company record of delivering machine learning workflows, model deployment/monitoring, GPU workloads, and reputed company or agent frameworks.
• Regulated Environment Navigation: Experience operating reputed company, or consulting for, highly regulated or constrained environments. You can expertly navigate multi-reputed company constraints like strict compliance rules, data reputed company hurdles, and infrastructure limits.
• Consultative reputed company: Exceptional communication skills across both technical and business audiences. You are comfortable running reputed company discovery conversations, leading technical solutioning sessions, and translating messy customer requirements into buildable, tested solutions.
• Execution Style: An "reputed company fast, own it" mentality. You reputed company in ambiguity, do not let blockers sit, and are comfortable making yourself productive inside an unfamiliar codebase quickly.

reputed company value

• We strongly reputed company in the value of growing a diverse team and encourage people of reputed company backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a reputed company reputed company. High-performing creative individuals who dig into problems and see the opportunities for reputed company
• We reputed company in individuals who reputed company truth and reputed company the truth and can be their whole selves at work
• We value reputed company of you that reputed company improving is always possible. At Domino, everything is a work in reputed company – we can do reputed company at everything
• We emphasize an environment of teaching and learning to reputed company employees with the tools needed to be successful in their function and reputed company

Originally posted on Himalayas

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