Specialist Solutions Architect - Charles City, United States - Databricks

Databricks Charles City, United States

1 week ago

Description

As a Specialist Solutions Architect (SSA) - Data Scientist / ML Engineer, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organization.

You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.

You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as a ML thought leader.

You will report to the Manager, Field Engineering.

The impact you will have:

Architect production level ML workloads for customers using our unified platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.

Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks
Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks' ML offerings
Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains
Serve as the trusted technical advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring

What we look for:

5+ years of hands-on industry ML experience in at least one of the following:

ML Engineer:
Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.

Data Scientist:
Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
Passion for collaboration, life-long learning, and driving business value through ML
[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
[Preferred] Experience working with Apache Spark to process large-scale distributed datasets
Can meet expectations for technical training and role-specific outcomes within 3 months of hire
Private medical, dental and optical
Life, accident, disability and critical illness coverage
Central Provident Fund for local nationals
Equity awards
Enhanced Parental Leaves
Fitness reimbursement
Home office & work headphones reimbursement
Mental wellness resources
Employee referral bonus
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 Twitter ,LinkedIn

and Facebook

.
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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