AD
Full-time · Remote

Lead Machine Learning Engineer

This is a high-level consulting and engineering hybrid role that focuses on delivering end-to-end AI solutions for global clients. It is particularly compelling for those who enjoy the variety of consulting while maintaining deep technical involvement in the Databricks and Spark ecosystems. The role offers a unique blend of independent leadership and collaborative team growth.

Aimpoint Digital · New York City, New York, United States · Posted 17 April 2026

The role

Overview

This is a high-level consulting and engineering hybrid role that focuses on delivering end-to-end AI solutions for global clients. It is particularly compelling for those who enjoy the variety of consulting while maintaining deep technical involvement in the Databricks and Spark ecosystems. The role offers a unique blend of independent leadership and collaborative team growth.

What they need

Requirements & Skills

Key Responsibilities

  • Design and implement end-to-end machine learning and AI infrastructures
  • Act as a trusted advisor to client organizations at all levels
  • Develop efficient feature engineering pipelines and orchestrate model deployments
  • Write optimized code in Python, SQL, and Spark following software engineering standards
  • Contribute to internal practice development and business development initiatives

Essential

  • Ability to manage individual workstreams and projects independently
  • Proven track record of building high-quality data science models for business use cases
  • Strong stakeholder management and customer collaboration skills
  • Exceptional written and verbal communication abilities
  • Willingness to travel as required for client engagements
  • Capacity to apply theoretical data science principles to practical, real-world projects
  • Expertise in software engineering best practices and optimized coding

Preferred

  • Prior experience in a professional services or consulting environment
  • Databricks Machine Learning Associate certification
  • Databricks Machine Learning Professional certification

Key Skills

PythonSQLApache SparkDatabricksMachine Learning (ML)Artificial Intelligence (AI)Statistical AnalysisCloud Platforms (Azure, AWS, or GCP)Feature EngineeringModel Deployment & OrchestrationData VisualizationOptimization

Networking

People to Know

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Perks

Benefits & perks

  • Remote work flexibility
  • Opportunity to work across diverse industries
  • Professional development and upskilling culture
  • Collaborative and fast-paced work environment
  • Exposure to cutting-edge AI and ML technologies

Next step

Apply now

Found via www.flexionis.wuaze.com