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

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

Company H1B Sponsorship