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[Remote] AI / Machine Learning Engineer – Specialist / Architect

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Dice is seeking an experienced Artificial Intelligence / Machine Learning Engineer – Specialist / Architect to support enterprise-wide data and AI initiatives. This role will focus on designing scalable data solutions, building advanced analytics capabilities, and enabling AI-driven decision-making across complex business environments.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines
  • Integrate and aggregate data from multiple enterprise systems and external sources
  • Build reusable data models, frameworks, and data products
  • Ensure data quality, governance, and optimization for analytics workloads
  • Develop modern data architectures supporting enterprise reporting and AI initiatives
  • Design executive dashboards and operational reporting solutions
  • Create decision-support systems and analytical frameworks
  • Analyze trends, risks, KPIs, and operational metrics
  • Deliver actionable insights using modern BI and analytics platforms
  • Develop AI-assisted analytics and intelligent automation solutions
  • Build predictive models and recommendation engines
  • Support rapid prototyping, proof-of-concepts (POCs), and innovation initiatives
  • Leverage Machine Learning, Generative AI, and advanced analytics technologies to solve business challenges
  • Collaborate on AI governance, model deployment, and monitoring strategies
  • Partner with executives, business leaders, and technical teams
  • Translate business requirements into scalable technical solutions
  • Present analytical findings and AI-driven insights to non-technical audiences
  • Gather stakeholder feedback and continuously improve delivered solutions

Skills

  • Strong experience in Data Engineering, Data Integration, and ETL/ELT development
  • Advanced SQL development and data analysis expertise
  • Strong Python programming skills for analytics, automation, and AI applications
  • Experience with Data Modeling and Enterprise Data Architecture
  • Hands-on experience building scalable analytics and reporting solutions
  • Experience working with cloud-based data platforms and modern data ecosystems
  • Strong problem-solving, communication, and stakeholder management skills
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Microsoft Fabric
  • Databricks
  • Snowflake
  • Power BI
  • Apache Spark
  • Azure Machine Learning
  • Generative AI / Large Language Models (LLMs)
  • MLOps and Model Deployment
  • Palantir Foundry
  • Palantir Forward Deployment Engineering (FDE)
  • AI Engineer
  • Machine Learning Engineer
  • Data Engineer
  • Analytics Engineer
  • Data Scientist
  • Decision Intelligence Consultant
  • Data & Analytics Solution Architect
  • Azure Data Engineer
  • Databricks Engineer
  • Microsoft Fabric Architect
  • Palantir Forward Deployment Engineer (FDE)
  • Palantir Foundry Engineer

Company Overview

  • Dice is a job-searching platform for technology professionals. It is a sub-organization of DHI Group. It was founded in 1990, and is headquartered in Santa Clara, California, USA, with a workforce of 201-500 employees. Its website is http://www.dice.com.
  • Company H1B Sponsorship

  • Dice has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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