Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Lead AI & Machine Learning Engineer

Job

Selby Jennings

Remote

$177,500 Salary, Full-Time

Posted 2 days ago (Updated 10 hours ago) • Actively hiring

Expires 7/4/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Title :
Lead Machine Learning/AI Engineer Location :
Remote Compensation :
$160,000-195,000 (based on experience)
Company Overview:
This organization is a specialized team within a global consulting firm, focused on building data-driven SaaS solutions for clients in regulated, data-intensive industries, with a collaborative and growth-oriented culture. The Lead AI & Machine Learning Engineer will drive the end-to-end development and scaling of AI/ML systems, partnering with cross-functional teams to deliver production-ready solutions, advance MLOps capabilities, and bring innovative, AI-powered products from concept to launch. Key Responsibilities Lead end-to-end development, deployment, and maintenance of AI/ML systems from proof-of-concept to production, ensuring seamless integration across teams Partner with product, architecture, and cross-functional stakeholders to align technical solutions with business goals Provide expertise in AI/ML engineering, including selection and optimization of tools, frameworks, and models Build and scale MLOps, LLMOps, and AIOps capabilities Drive AI-powered product features from concept to launch Review and improve models and code to maintain quality and performance Design scalable real-time and batch inference solutions Required Qualifications 10+ years of experience in ML engineering, generative AI, and data science Proven track record delivering ML solutions across the full lifecycle (POC to production) Strong Python and SQL skills; experience with R or PySpark a plus Familiarity with additional languages (e.g., C#, Rust) Experience with cloud platforms and distributed computing environments Expertise in migrating on-prem systems to cloud-native architectures Experience with CI/CD, version control, and infrastructure-as-code (e.g., Terraform) Strong understanding of APIs, cloud services, and scalable system design Solid software engineering fundamentals (testing, debugging, code quality) If you meet the qualifications for this role, please apply now! First round interviews are being scheduled now.