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This range is provided by Largeton Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$100.00 / yr - $100.00 / yr
Role Overview
- Lead the design, development, and implementation of the company's AI / ML platforms, infrastructure, and services.
- Drive technical vision, architecture, and strategy for AI / ML engineering needs, ensuring platform reliability, performance, and scalability.
- Provide technical leadership, guidance, mentorship, and foster a culture of continuous innovation within engineering teams.
- Collaborate with cross-functional teams (security, solutions architecture, product, engineering, vendors) to deliver integrated AI / ML solutions.
- Oversee project roadmaps, deliverables, and report progress to management and stakeholders.
- Ensure security, compliance, and operational excellence in all AI / ML initiatives.
Key Responsibilities
Architect and implement robust AI / ML platforms and infrastructure.Build and deploy supervised and unsupervised machine learning models, leveraging LLMs where applicable.Champion best engineering practices, automation, CI / CD, and agile development methodologies.Partner with business leaders and senior engineers to align technical solutions with organizational needs.Ensure platform security, data privacy, and adherence to SLOs and error budgets.Engage with external partners to evaluate and integrate complementary AI / ML technologies.Set and monitor measurable quality goals and OKRs for teams.Manage team performance, financials, and accountability for deliverables.Advise senior leadership on complex technical initiatives and business strategy.Required Experience & Skills
15-20 years of large-scale software design and development experience.Strong hands‑on expertise in Java and Python.Proven experience building supervised, unsupervised, and (preferably) reinforcement learning models.Experience with LLMs and distributed computing frameworks (Ray, Spark).Proficient with Kubernetes, Terraform, and cloud architecture (AWS, Azure, S3, EMR, Lambda).Deep knowledge of big data platforms and large-scale data engineering.Extensive experience with CI / CD, agile methodologies, and end‑to‑end SDLC including production operations.Demonstrated leadership, mentorship, and team‑building abilities.Excellent analytical, problem‑solving, and communication skills.Education
Bachelor’s degree in Computer Science or related field required; advanced degree preferred.Location & Work Arrangement
Hybrid role (1‑3 days onsite / week) in Portland, ME; Boston, MA; Chicago, IL; or San Francisco, CA (must reside within 50 miles of location).Seniority level
Mid‑Senior levelEmployment type
ContractJob function
Engineering and Information TechnologyInformation ServicesReferrals increase your chances of interviewing at Largeton Group by 2x
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