Lead AI/ML Software Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

188300.0

Posted On

11 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML, Platform Engineering, MLOps, LLMOps, Python, .NET, Azure, Agile, SCRUM, Kanban, Azure DevOps, Unit Testing, Troubleshooting, Collaboration, Mentoring, Code Reviews

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead AI/ML Software Engineer in the United States. This role is ideal for an experienced engineer looking to lead the development and management of AI/ML platforms and solutions in a fast-paced, collaborative environment. You will design, deploy, and optimize scalable AI/ML engineering capabilities that directly impact the performance and innovation of products and services. The position requires close collaboration with cross-functional teams, including Product, UX, and other engineering squads, to deliver reliable, high-performing AI/ML solutions. You will also mentor and guide other engineers, ensuring the adoption of best practices and technical excellence. This is a high-impact opportunity for someone passionate about cutting-edge AI/ML technologies and platform engineering at scale. Accountabilities: Lead the design, deployment, and management of AI/ML and LLMOps platforms to support multiple engineering teams. Develop new product features and enhance platform functionality using industry-standard coding practices. Conduct unit testing, troubleshoot defects, and ensure robust system performance. Collaborate with Product, UX, and other teams to align technical and business requirements. Evaluate, assess, and integrate MLOps and LLMOps platforms for scalability, usability, and resiliency. Mentor and coach team members on advanced AI/ML technologies, coding standards, and platform best practices. Participate in technical design and code reviews, ensuring adherence to functional and non-functional requirements. Bachelor’s degree in a related field or equivalent experience through combined education and work. 8+ years of experience building technology platforms and solutions. 5+ years of experience with .NET, Python, and Azure platforms and services. 2+ years of full lifecycle experience with AI/ML models—from development and testing to deployment and monitoring. 2+ years of experience deploying MLOps and LLMOps platforms. Experience with Agile methodologies (SCRUM/Kanban) and Azure DevOps including source control and CI/CD pipelines. Excellent problem-solving, communication, and collaboration skills. Experience with enterprise-grade engineering platforms, Azure ML Studio, Databricks Mosaic AI, or similar platforms is a plus. Competitive salary range: $117,700 - $188,300 per year. Fully remote work opportunities. Flexible schedule and collaborative work environment. Health, dental, and vision insurance coverage. Retirement savings plan (401k) with employer contributions. Professional development, continuing education, and credentialing support. Additional perks such as employee assistance programs, virtual fitness programs, and associate discounts. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead the design, deployment, and management of AI/ML platforms to support multiple engineering teams. Collaborate with cross-functional teams to deliver reliable, high-performing AI/ML solutions.