Forward Deployed Engineer – AI/ML

Vaga não está no LinkedIn

🕒 Setembro 24

🌵 Arizona, Florida, +1 estados a mais – Remoto

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⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 19%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

Amazon Redshift

AWS

Cloud

Hadoop

PySpark

Python

Spark

SQL

Unity

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Logo of RevStar

RevStar

51 - 200 funcionários

Fundada em 2018

💼 Consultoria

🤝 B2B

🤖 Inteligência Artificial

Consulting • B2B • Artificial Intelligence

A RevStar é uma consultoria de transformação digital e inovação que ajuda organizações a passar da visão à execução, combinando clareza estratégica com execução técnica. Eles oferecem serviços como roteiros de crescimento estratégico, design moderno da jornada do cliente, planos de ação GenAI/IA, infraestrutura de dados, testes de produtos e sprints MVP, e roteiros de modernização. A RevStar enfatiza a inovação prática, orientada para resultados, e faz parcerias com líderes em saúde, seguros e finanças para resolver desafios críticos.

Descrição

• Design, build, and deploy production-grade data pipelines, analytics engines, and Generative AI/LLM applications using Databricks, Spark, Python/PySpark, and modern cloud ecosystems. • Serve as the primary technical leader on strategic enterprise client engagements. • Partner with C-level executives, VP/Directors of Data, and engineering teams to translate business challenges into technical solutions. • Lead complex legacy platform migrations, including Snowflake, Teradata, legacy Hadoop, and SQL Server, onto Databricks Lakehouse architecture. • Guide enterprise customers in adopting GenAI solutions, RAG architectures, model fine-tuning, and MLflow/Databricks Mosaic AI integrations. • Identify high-value technical use cases across client business units, expanding Databricks usage and driving measurable client ROI. • Mentor junior Solution Engineers, Architects, and Consultants. • Contribute to RevStar code libraries, reusable accelerators, and technical delivery best practices.

🎯 Requisitos

• 5+ years of hands-on experience in Data Engineering, Machine Learning, or Solutions Architecture. • 3+ years of deep technical experience within the Databricks Ecosystem (Delta Lake, Unity Catalog, MLflow, Spark/PySpark, Databricks Workflows/Jobs, Mosaic AI). • Practical experience designing and deploying RAG pipelines, fine-tuning LLMs, working with vector databases, and managing ML pipelines end-to-end. • Strong expertise in cloud-native architectures (AWS preferred—S3, Glue, Lambda, Redshift, etc.). • Proven track record of migrating enterprise legacy data warehouses/lakes onto Databricks. • Databricks Certified Data Engineer Professional and/or Machine Learning Professional preferred. • Demonstrated track record of leading technical delivery for Fortune 500 or large enterprise clients. • Healthcare, Retail, Consumer Goods experience is a strong plus. • Exceptional verbal and written communication skills; comfortable presenting technical architecture, building POCs/demos, and managing client stakeholders up to the C-suite. • Ability to spot technical expansion opportunities within existing client accounts and serve as a technical advocate to grow account footprint.

🏖️ Benefícios

• Paid Time Off – Take the time you need to recharge and stay productive. • Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team. • Comprehensive Health Coverage – Medical, Dental, Vision • 401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program. • Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses. • Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth. • Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries. • Company Outings & Volunteer Opportunities – Build relationships and give back to the community. • Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.

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