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Senior Specialist Solutions Engineer (AI/ML)

Databricks ·
50
AI-Agency
B35 U75
📍 London, GB 🛠 AI tools welcome at work Senior
Apache SparkAWSAzureGCPLangChainHuggingFaceOpenAIDelta Lake
TL;DR

Senior Specialist Solutions Engineer at Databricks supporting customers in architecting production-grade ML applications. Focuses on MLOps, GenAI/RAG solutions, and technical pre-sales support across the Databricks Data Intelligence Platform.

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Job description

ReqID: FEQ327R256

Recruiter: Dina Hussain

Location:  London

Skills: Data Science, Machine Learning, AI, LLM, GenAI

As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert.

You will be reporting to the Manager, Field Engineering (Specialist Team)

The impact you will have:

What we look for:

Data Science/ML Skills

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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