AI Engineer - FDE (Forward Deployed Engineer)

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Job Overview

The position available is for an AI Engineer - specifically, a Forward Deployed Engineer (FDE) at Databricks. This company is looking for candidates at all levels of experience, with the main mission of the AI Forward Deployed Engineering (AI FDE) team being customer-facing. The team is strongly specialized in delivering professional services that assist clients in building and launching unique AI applications. This position is listed as a full-time opportunity within a remote working environment.

Company Background

Databricks is a renowned data and AI company that supports over 10,000 organizations globally, including major corporations such as Comcast, Condé Nast, and Grammarly. Their Data Intelligence Platform aids in unifying and democratizing data, analytics, and AI, making it a critical asset for companies seeking to leverage data effectively. Founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow, Databricks is invested in innovative research and application development.

Mission of the Team

The AI FDE team plays an integral role in helping customers by developing innovative GenAI solutions by utilizing the latest techniques from Databricks AI research. The team's responsibilities include:

• Engagements with customers to understand their problems and develop solutions.
• Owning production rollouts of consumer-facing and internal GenAI applications.
• Acting as a trusted technical advisor and presenting at conferences like the Data + AI Summit.
• Collaborating with product and engineering teams to influence priorities while shaping the product roadmap.

This position is ideal for individuals who are passionate about AI technologies, enjoy collaboration, and aim to fuel their curiosity by engaging with current trends in GenAI, LLMOps, and machine learning more broadly.

Responsibilities

The role involves several key responsibilities:

• Developing cutting-edge GenAI solutions using advanced techniques.
• Leading deployment initiatives for production-grade GenAI applications.
• Communicating technical concepts effectively to non-technical and technical audiences.
• Actively participating in professional development through travel to client sites (up to once every 4-8 weeks) for engagement purposes.

Required Skills and Experience

To be successful in this role, candidates should possess several critical qualifications and experiences:

• Profound experience in building GenAI applications (including RAG, multi-agent systems, Text2SQL, fine-tuning). Familiarity with tools like HuggingFace, LangChain, and DSPy is crucial.
• Expertise in deploying production-grade GenAI applications, conducting evaluations, and implementing optimizations.
• Significant hands-on experience in data science, adept with tools such as pandas, scikit-learn, and PyTorch.
• Competency in deploying machine learning models in cloud environments like AWS, Azure, or GCP.
• Possession of a graduate degree in a relevant quantitative field such as Computer Science, Engineering, Statistics, or Operations Research, or an equivalent amount of practical experience.
• An affinity for traveling to customer sites to retain close engagement and foster relationships.

Preferred qualifications also include familiarity with the Databricks Intelligence Platform and Apache Spark™ for handling large-scale datasets.

Work Environment

The role prioritizes remote work, welcoming candidates from various geographical locations, primarily near Databricks offices in cities like London (UK), Madrid (Spain), Paris (France), and Amsterdam (NL). This flexibility ensures broader accessibility to talented individuals who thrive in a customer-focused and collaborative atmosphere.

Commitment to Diversity and Inclusion

Databricks demonstrates a robust commitment to diversity and inclusion within the workplace. The hiring practices emphasize equity, ensuring individuals are considered without regard to various protected characteristics. Databricks aims to foster a culture where everyone can excel.

Conclusion

In summary, this AI Engineer - FDE role at Databricks not only presents an exciting opportunity to develop groundbreaking AI applications but also allows you to collaborate within a diverse and dynamic team structure. This position is designed for passionate professionals eager to create substantial business value through advanced AI technologies. Interested candidates should strongly consider the alignment of their skills with the outlined requirements and seize the chance to become part of a pioneering organization in the realm of data and AI.

This job offer was originally published on himalayas.app