On-Site AI Solutions Engineer — Life Sciences

Domino Data Lab; United States; On-site; USD 100,000 - 140,000; Full time

Job summary

Domino Data Lab in the United States is seeking a Forward Deployed Engineer to enhance AI workflows within the Life Sciences sector. This role involves direct engagement with clients, crafting and deploying advanced MLOps solutions tailored for high-impact use cases.

The ideal candidate will possess strong skills in Python, cloud technologies, and machine learning workflows, as well as a consultative mindset that allows them to navigate complex regulatory environments.

Qualifications

• Deep technical proficiency in Python and familiarity with SQL, R, and Bash.
• Experience with Kubernetes, Docker, and cloud architectures (AWS/Azure/GCP).
• Proven track record in machine learning workflows and GPU workloads.

Responsibilities

• Master Domino platform mechanics and shadow customer’s environment.
• Build and deploy production-grade MLOps solutions across the lifecycle.
• Advise technical and business stakeholders and author reusable playbooks.

Skills

Proficiency in Python

SQL knowledge

R familiarity

Bash experience

Cloud architecture (AWS, Azure, GCP)

Kubernetes experience

Docker usage

AI/MLOps workflows

Communication skills

Regulated environment navigation

Job description

Domino Data Lab in the United States is seeking a Forward Deployed Engineer to enhance AI workflows within the Life Sciences sector. This role involves direct engagement with clients, crafting and deploying advanced MLOps solutions tailored for high-impact use cases.

The ideal candidate will possess strong skills in Python, cloud technologies, and machine learning workflows, as well as a consultative mindset that allows them to navigate complex regulatory environments.