Live Feed

Remote Mlops Jobs

+50k

122

LIVE

AI roles found

Elite AI Updates

Top AI roles delivered daily.

Explore AI roles · Updated daily

Find your next
AI role

Keyboard friendly Save & share roles

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to delive...

Internship Remote Ai Ai Engineer

Fully remote

Our client is a forward-thinking Data Analytics Consultancy dedicated to delivering innovative solutions and insights...

Fulltime Remote Ai Machine Learning

Fully remote

About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the live...

Fulltime Remote Machine Learning Data Science

$125k - $150k · Senior Fully remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning ...

Fulltime Remote Machine Learning Data Science

$135k - $165k · Senior Fully remote

Note: Its a contract to hire role - Apply only if you're comfortable working independently (i.e., W2) or under your o...

Contract Remote Machine Learning Data Science

Fully remote

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLL...

Fulltime Remote Ai Machine Learning

$189k - $312k · Senior Fully remote

Who is Flock? Flock Safety is the leading safety technology platform, helping communities thrive by taking a proactiv...

Fulltime Remote Machine Learning Mlops

Fully remote

Senior Machine Learning Engineer (AI/ML Focus) Work Mode: Fully Remote (UK-Based) Salary Package: £90,000 per annum K...

Fulltime Remote Ai Machine Learning

$114k* · Senior Fully remote

Modalità: Full Remote Key tech skills: Python, MLOps, AI, Machine Learning, RAG Anni di esperienza: 1+ RAL: 30-48k Su...

Internship Remote Ai Machine Learning

$48k* · Senior Fully remote

Join our AI lab in Tampa, FL to build cutting-edge machine learning models that power the future of AI-driven intervi...

Fulltime Remote Ai Machine Learning

$150k - $210k · Senior Fully remote

We’re looking for a Senior Data Scientist to build and productionize analytics that improve healthcare affordability ...

Fulltime Remote Machine Learning Data Science

$59k* · Senior Fully remote

Mandatory onsite presence 3 days per week at our Woodland Hills, CA location. Key Responsibilities Design, develop, a...

Fulltime Contract Remote Ai Engineer

$145k - $156k · Senior Fully remote

We are looking for an AI Engineer to design, develop, and deploy scalable artificial intelligence solutions. You will...

Fulltime Remote Ai Ai Engineer

$22k - $66k* · Senior Fully remote

About PrePass PrePass® is North America's most trusted weigh station bypass and toll management platform. We're trans...

Remote Machine Learning Deep Learning Data Science

Fully remote

We've teamed up with a really exciting HealthTech company in their search for an AI/MLOps Engineer. This is a fantast...

Contract Remote Mlops Ai

Fully remote

Title : AI/ML Engineer – Azure & C# Location : Remote from the U.S. Industry: Powersports Duration: 12 months with po...

Fulltime Remote Ai Ai Engineer

Fully remote

Amazon Pro Serve - MLOps Location: Remote Duration: 6+ Months Interview Process: Video Tax Terms: W2 Only, Visa: U.S....

Contract Remote Machine Learning Computer Vision

Fully remote

About Celebal Technologies Celebal Technologies is a premier software services company specializing in Data Science, ...

Contract Remote Ai Ai Engineer

Fully remote

A leading digital care provider seeks a Senior Applied AI Engineer to help transform healthcare through advanced AI. ...

Fulltime Remote Ai Ai Engineer

Fully remote

Data Scientist – ML / GenAI / Agentic AI (Remote - USA Based) - Fortune 500 Food & Beverage Join a Fortune 500 food &...

Contract Remote Ai Machine Learning

Fully remote

GenPeach is building next-generation multimodal foundation models for unmatched creative rreedom & human-centered AI ...

Fulltime Remote Ai Machine Learning

Fully remote

AI / ML Engineer Job Description: AI Engineer: Required Skills & Experience: 3-5 years of professional experience in ...

Remote Ai Ai Engineer Machine Learning

Fully remote

OCI AI Solution Architect Job Summary: 8+ years in solution architecture; 3+ years in Al/LLM systems. Expertise in cl...

Remote Ai Mlops Data Engineer

Fully remote

Does this sound like you? You help turn ambitious AI ideas into production systems that deliver measurable business v...

Fulltime Remote Ai Machine Learning

Fully remote

DINAMICA srl, società di consulenza informatica di Milano, ricerca un Data Science con almeno 3 anni di esperienza. R...

Remote Machine Learning Data Science Mlops

Fully remote

Selected role

GenAI AI ML Engineering Intern

SanDisk Milpitas, CA, US

Senior Full-time

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

We are seeking a highly motivated GenAI & AI/ML Engineering Intern to join our Design Enablement & Automation (DE&A) team. This role offers an exciting opportunity to revolutionize Sandisk’s semiconductor development workflows through cutting-edge AI technologies.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Generative AI:

Develop and deploy large language models (LLMs) inference pipelines for electronic design automation
Design Retrieval-Augmented Generation (RAG) systems and semantic search capabilities for engineering documentation management
Implement conversational AI agents for technical support
Develop prompt engineering strategies and fine-tuning approaches for domain-specific AI assistants
Build multimodal AI systems combining text, code, and design diagrams
Implement model versioning, A/B testing, and performance monitoring for GenAI systems
Optimize GenAI model performance for production environments
Build evaluation frameworks for generative AI model quality and safety

AI/ML & Data Intelligence:

Develop machine learning models for design optimization and prediction
Build automated data pipelines and workflows for AI model training and inference
Create predictive analytics solutions using both traditional ML and generative approaches
Implement AI-driven anomaly detection and pattern recognition systems
Build dashboards and visualizations enhanced with natural language generation

Learning Opportunities:

Hands-on experience with state-of-the-art commercial and open-source generative AI models
Deep dive into RAG architectures, vector databases, and semantic search technologies
Exposure to enterprise-scale GenAI infrastructure and LLMOps practices
Experience with cutting-edge semiconductor design flows and tools enhanced by AI
Mentorship from senior engineers specializing in both GenAI and semiconductor design domains
Opportunity to contribute to GenAI development and present at AI/semiconductor conferences

Qualifications

Required:

Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or related technical field
Strong programming skills in Python and experience with AI and data analytics frameworks (Spark, Ray, pandas, scikit-learn, PyTorch, OpenAI API, or similar)
Fundamental understanding of machine learning and generative AI concepts and algorithms
Experience with data structures, algorithms, and software engineering principles
Basic knowledge of natural language processing (NLP) and Generative AI concepts
Familiarity with version control systems (Git) and collaborative development workflows
Curiosity about applying AI to semiconductor design and engineering workflows
Ability to quickly learn new technologies and adapt to evolving AI landscape
Strong attention to detail and commitment to code quality and documentation

Preferred:

Hands-on experience with large language models (LLMs) and generative AI frameworks
Knowledge of Retrieval-Augmented Generation (RAG) systems and vector databases
Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
Familiarity with MLOps practices, model deployment, and monitoring tools
Understanding of prompt engineering and fine-tuning techniques for language models
Experience with data pipeline tools (Apache Airflow) and workflow orchestration
Knowledge of semiconductor design flows, electronic design automation (EDA), or hardware description languages (Verilog, VHDL)
Experience with web development frameworks and API design
Familiarity with database systems (SQL, NoSQL) and data visualization tools
Previous internship, research, or project experience in AI/ML or Generative AI applications

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Based on our experience, we anticipate that the application deadline will be 02/11/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.

#LI-TG1

Compensation & Benefits Details

An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk’s Standard Terms and Conditions for Restricted Stock Unit Awards.
We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Sandisk Savings 401(k) Plan.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Showing 76–100 of 122 AI roles

1 2 3 5

AI Learning Hub · Always curated

Explore the complete
AI ecosystem

Discover the best AI-first companies, podcasts, events, learning paths, and jobs in one focused hub.

Simple pricing for serious AI hiring

Pay per listing. No subscriptions, no hidden fees. Designed for teams hiring for high-impact AI roles.

No-risk: replace or refund if the role doesn’t get traction.

Standard listing

Reach active AI talent

For startups

$349 per role

30-day live listing in the AI job feed.
Structured posting written for AI engineers (we’ll help refine copy).
Instant alerts to subscribed candidates for your tags (LLMs, agents, infra, etc.).

Most teams see first applicants within 24–48 hours.

Max visibility to senior talent

For scale-ups

$649 per role

Everything in Standard, plus homepage & “Featured role” placement.
Priority placement in weekly AI roles newsletter.
1:1 review of your role with DevFound to calibrate for top-tier candidates.
Highlight badge on job page to increase conversion.

Best for teams hiring 1–3 critical AI roles this quarter.

Remote Mlops Jobs

Elite AI Updates

Find your next
AI role

GenAI AI ML Engineering Intern

Machine Learning Engineering Manager

Data Scientist

Machine Learning Engineer

Data Scientist

Senior Principal MLOps Engineer AI Inference

Senior Software Engineer ML Platm

Senior Machine Learning Engineer

Data Scientist Agile Lab

Machine Learning Engineer

Senior Data Scientist Healthcare [J280]

AI ML Engineer

AI Engineer

Senior Data Scientist

AI MLOps Engineer MongoDB Python FastAPI: $7585 hr

AI ML Engineer – Azure C# 28558

AWS MLOPS Engineer

Artificial Intelligence Engineer

Senior Applied AI Engineer

Data Scientist

MLOps ML Infrastructure Engineer

MLOps

OCI MLOps Engineer

Machine Learning Engineer

Data Scientist

Explore the complete
AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent

Find your next AI role

GenAI AI ML Engineering Intern

Machine Learning Engineering Manager

Data Scientist

Machine Learning Engineer

Data Scientist

Senior Principal MLOps Engineer AI Inference

Senior Software Engineer ML Platm

Senior Machine Learning Engineer

Data Scientist Agile Lab

Machine Learning Engineer

Senior Data Scientist Healthcare [J280]

AI ML Engineer

AI Engineer

Senior Data Scientist

AI MLOps Engineer MongoDB Python FastAPI: $7585 hr

AI ML Engineer – Azure C# 28558

AWS MLOPS Engineer

Artificial Intelligence Engineer

Senior Applied AI Engineer

Data Scientist

MLOps ML Infrastructure Engineer

MLOps

OCI MLOps Engineer

Machine Learning Engineer

Data Scientist

Explore the complete AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent

Find your next
AI role

Explore the complete
AI ecosystem