AI/ML Full Stack Engineer jobs in United States
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Mindlance · 3 months ago

AI/ML Full Stack Engineer

Mindlance is a company seeking an AI/ML Full Stack Engineer. The role involves developing AI models, engineering cloud applications, and building user interfaces while collaborating with stakeholders to present AI-driven solutions.

Human Resources
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H1B Sponsor Likelynote

Responsibilities

Developing AI models: Building and fine-tuning machine learning models, including specialized ones like large language models (LLMs), to solve development challenges
Engineering cloud applications: Designing and building cloud-native data and AI tools and ensuring they are scalable, secure, and performant. Client frequently uses cloud platforms like Azure, GCP, or AWS
Building user interfaces: Developing the front-end user experience, including interactive data and knowledge dashboards
Managing data infrastructure: Handling large, complex datasets, including data sourcing, cleaning, and preparation for model training
Implementing best practices: Coordinating the technical work of data teams by conducting code reviews, implementing MLOps strategies, and ensuring ethical AI use
Working with stakeholders: Collaborating with internal teams and external partners to gather requirements and present AI-driven solutions

Qualification

PythonAI/ML frameworksCloud platformsJavaScript/TypeScriptDatabasesContainerizationCommunicationProblem-solvingCollaboration skills

Required

A master's degree or higher in a relevant field, such as Computer Science, Data Science, or Artificial Intelligence, is typically required
A minimum of 7-10 years of professional experience in a related role is often requested. This should include hands-on experience in AI engineering and cloud-native application development
Proficiency in Python is essential, along with experience using AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn
Strong skills in JavaScript/TypeScript and front-end frameworks like React are also necessary for full-stack roles
Expertise in cloud platforms (Azure, AWS, or GCP) and related services is critical for deploying and managing AI solutions
Knowledge of both relational and NoSQL databases is required
Experience with containerization (Docker, Kubernetes), version control (Git), and CI/CD pipelines is a major asset
Excellent communication, problem-solving, and collaboration skills are vital for working in interdisciplinary and multicultural teams

Company

Mindlance

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Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services

H1B Sponsorship

Mindlance has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (71)
2024 (53)
2023 (37)
2022 (72)
2021 (36)
2020 (40)

Funding

Current Stage
Late Stage

Leadership Team

R
Rajat Paul Dhall
Co-Founder & Managing Director
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V
Vik Kalra
Co-Founder and Managing Director
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Company data provided by crunchbase