MLOps Field Engineer Role

Utilize data to drive insights and decision-making.

Lead and drive data-driven research projects.

Utilize AI and automation technologies for fleet management processes.

Analyze data to optimize fleet operations and improve efficiency.

Designing ML architectures for external customers

Delivering AI/ML solutions in collaboration with sales leads

Design and build backend systems using Python, PySpark, and SQL

Collaborate with cross-functional teams to deliver high-performance data solutions

Work with clients on big data challenges using Databricks platform.

Provide data engineering, data science, and cloud technology projects.

Work on impactful customer technical Big Data projects

Guide strategic customers in implementing transformational big data projects

Design and deploy AI/ML infrastructures

Work directly with customers on cloud solutions

Lead data strategy and architecture for Blackbaud

Design breakthrough products in Data Intelligence

Design and implement backend services using Python

Write efficient SQL queries for relational databases

Architect scalable data pipelines and infrastructure.

Enable real-time, reliable, and high-quality data access.

Design and oversee enterprise-wide data architecture

Develop strategies for data platforms and analytics

Deliver enterprise data platform solutions

Administer and optimize big data environments

Design and build scalable backend data systems

Ensure data accuracy, reliability, and security

Design and scale data platforms

Optimize big data processing and pipelines

Design and implement scalable data platforms

Lead and deliver cloud and big data projects

Deliver enterprise data platform solutions

Administer and optimize distributed systems

Architect and deliver complex data platform solutions.

Provide production support and optimization for big data and cloud technologies.

Architect scalable and reliable data infrastructure

Empower data-driven decision making and analytics

Drive enterprise sales for Dataiku platform

Advise clients on data-driven strategies

Design scalable data infrastructure

Build and maintain high-quality data pipelines

Design and lead data architecture solutions

Set and communicate data strategy and governance

Provide technical leadership in data science

Develop and implement advanced analytics models

Design and implement scalable backend systems

Enhance user experience through recommendations and content discovery

Deliver customer big data projects

Design and deploy data architectures

Design and maintain scalable data pipelines

Ensure data quality and governance standards

Design and scale robust data systems

Ensure high data quality and normalization

Design and build scalable data architectures

Lead customer-facing technical engagements

Build innovative AI solutions

Research and experiment with emerging technologies

Hire a remote big data engineer

Develop scalable data solutions

Remote data engineering role

Develop scalable data pipelines

Lead and mentor data engineering teams

Architect and deliver scalable cloud data solutions

Drive strategic, data-informed decision-making

Develop and implement advanced data models

Deliver customer big data projects

Design and deploy data architectures

Deliver client big data projects using Databricks

Lead and manage technical teams

Design and scale robust data systems

Build and optimize big data pipelines

Design and scale robust data pipelines

Ensure high data quality and consistency

Design and maintain scalable data pipelines

Ensure high data quality and governance

Hire a remote senior data scientist

Promote a flexible, location-independent role

Develop and maintain scalable data pipelines

Ensure data quality, accuracy, and reliability

Deliver actionable business insights

Implement AI-driven analytics solutions

Hire a remote Big Data Engineer

Develop scalable data solutions

Drive company-wide data initiatives

Develop and implement advanced data models

Lead and mentor AI engineering teams

Deliver scalable, secure AI solutions for enterprises

Build the next generation of DVC for managing unstructured data

Participate in product lifecycle from concept to production

Architect scalable data models and ETL pipelines

Design and launch self-serve analytics products

Develop machine learning algorithms for NLP/LLMs and deep learning models.

Analyze large datasets to make predictions and generate responses.

Develop high-quality prompts to enhance AI model performance.

Implement machine learning algorithms for NLP and deep learning models.

Develop cutting-edge solutions for workforce development and talent recognition.

Translate military skills into civilian career opportunities through digital tools and consulting services.

Ensure high-quality software delivery for schools and trusts

Implement and improve QA processes

Support schools and multi-academy trusts with school management software.

Streamline operations, improve data management, and enhance staff productivity.