ml engineer intern

ChatGPT Jobs

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 <strong>
  Job Description
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 AI/ML Engineering Intern
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  Company:
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 Synopsys
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  Location:
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 Mountain View, CA (On-site, Remote)
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  Category:
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 Interns/Temp
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  Hire Type:
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 Intern
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  Job ID:
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 17595
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  Base Salary Range:
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 $0-$0
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  Remote Eligible:
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 Yes
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  Date Posted:
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 05/27/2026
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  About This Opportunity
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 Synopsys' Generative AI Center of Excellence defines the technology strategy to advance applications of Generative AI across the company. The GenAI COE pioneers the core technologies - platforms, processes, data, and foundation models - to enable generative AI solutions, and partners with business groups and corporate functions to advance AI-focused roadmaps.
 <br/>
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 We are looking for a motivated AI/ML Engineering Intern to join our team for the summer and contribute to exciting projects in Artificial Intelligence &amp; Machine Learning. This internship offers an opportunity to work on real-world problems, collaborate with experienced engineers and researchers, and gain hands-on experience building intelligent software solutions. The ideal candidate is curious, technically strong, eager to learn, and excited to apply AI/ML concepts to practical engineering challenges.
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 What You'll Be Doing
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   Support the development and evaluation of AI/ML prototypes and software solutions
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   Contribute to projects involving machine learning, data analysis, automation, or Generative AI applications
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   Help prototype and test AI-powered features, models, or proof-of-concepts
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   Participate in software development activities including coding, debugging, testing, and documentation
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   Collaborate with engineers and researchers on technical problem solving and project execution
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  </li>
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 What You'll Need
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   Currently pursuing a Bachelor's, Master's, or equivalent degree in Computer Science, Software Engineering, Electrical Engineering, or similar field
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   Proficiency in Python programming
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   Familiarity with Python libraries such as NumPy, Pandas, or scikit-learn
  </li>
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   Understanding of basic data structures and algorithms
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   Knowledge of software development fundamentals
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   Strong problem-solving and analytical skills
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   Good communication skills and willingness to learn
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 Key Program Facts
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   Program Length: Summer internship program
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   Location: Sunnyvale, CA
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   Working Model: In-office
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   Full-Time/Part-Time: Full-time
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   Start Date: September 2025
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 </ul>
</div>


AI/ML Engineering Internship

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Roles &amp; Responsibilities
</div><div>Job Title: Data Engineer -ML</div><br>
<div><br>
</div><div>Job Description:
</div><div>We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and
</div><div>understanding of AL/ML models to implement AL/ML models in OnPrem and Cloud environment.
</div><div>In this role, you will be responsible for implementing AL/ML Models in different environments leveraging
</div><div>Openshift/Kubernetics.</div><br>
<div><br>
</div><div>Responsibilities:
</div><div>Work with data scientists/data engineers to translate prototypes and theoretical models into functional,
</div><div>production ready code.
</div><div>Collaborate with product and engineering team to implement AI/ML models using PySpark.
</div><div>Understanding of AI/ML and large language models (LLMs).
</div><div>Work on productionalize the AL/ML model in Hadoop environment.
</div><div>Troubleshoot AI/ML Models post implementation to resolve issue raised by users.
</div><div>Monitor model performance and continuously improve efficiency, accuracy, and user experience.</div><br>
<div><br>
</div><div>Qualifications:
</div><div>Strong experience in PySpark and Python to integrate with AI/ML Models.
</div><div>Understanding of AI/ML Models and how they interface with OnPrem and Cloud environments.
</div><div>Familiarity with ML Ops/LLM Ops and distributed systems.
</div><div>Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.
</div><div>Solid understanding of system design patterns, scalability, observability, and performance tuning.
</div><div>Strong analytical and problem-solving skills.
</div><div>Passion for exploring and building with emerging technologies.</div><div></div><div><br>
</div>
<div></div><br>
<br>
<div>Salary Range: $125,000 to $140,000 per year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Irving, TX</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>416708</div>
</div><div><div><b>Desired Skills</b></div>
<div>Machine Learning</div>
</div><div><div><b>Salary Range</b></div>
<div>$125,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

ML Engineer

Datamatics Global Services Ltd

<div><b>Position Title : AI/ML Engineer &ndash; Agentic AI</b><br>
<b>Experience Required: </b>4&ndash;6 Years (Should be open to Travel)<br>
<b>Employment Type : </b>Full-Time - Riyadh - Onsite<br>
<br>
<b>Job Overview</b><br>
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques.<br>
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment.<br>
<br>
<b>Key Responsibilities</b><ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize <b>Agentic AI systems</b> using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul><b>
Required Skills &amp; Expertise</b><ul><li>
Strong hands-on experience in <b>Machine Learning, Generative AI, and Agentic AI development</b>.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul><b>
Preferred Qualifications</b><ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul><br>
<p>
</p><p>tTAmIvfFVv</p></div>

AI/ML Engineer – Agentic AI

Campbell's

<div><p><b>Since 1869, we've connected people through food they love. We&rsquo;re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell&rsquo;s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao&rsquo;s Homemade, Snack Factory, Snyder&rsquo;s of Hanover. Swanson, and V8.
</b></p><p></p><p><b>Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
</b></p><p></p><p><b>Operational Support Data Engineer &ndash; Agentic AI &amp; ML Ops (Co-op)
</b></p><ul><li>We are seeking a motivated and curious Data Engineer &ndash; Agentic AI &amp; ML Ops to join our Enterprise Data &amp; Analytics team. This co-op provides hands-on experience supporting cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions.
</li></ul><ul><li>You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, and modern AI/ML frameworks in an Agile environment.
</li></ul>If you are passionate about data engineering, AI, and automation, we want to hear from you.<br>
<ul><li>
</li></ul><p></p><p><b>Key Responsibilities
</b></p><ul><li>Build Data &amp; AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows.
</li></ul><ul><li>Data Integration &amp; Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
</li></ul><ul><li>Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access.
</li></ul><ul><li>LLM &amp; Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks.
</li></ul><ul><li>AI/ML Development &amp; Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms.
</li></ul><ul><li>Support Analytics &amp; AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics.
</li></ul><ul><li>Monitor &amp; Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps.
</li></ul><ul><li>MLOps &amp; CI/CD: Support deployment, testing, and automation for data and AI solutions.
</li></ul><ul><li>Data Modeling &amp; Semantic Layers: Assist with STTM, data modeling, and reporting datasets.
</li></ul><ul><li>Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives.
</li></ul>Documentation &amp; Automation: Create runbooks, workflows, and technical documentation.<br>
<ul><li>
</li></ul><p></p><p><b>Learning &amp; Development Opportunities
</b></p><ul><li>Hands-on experience with Databricks, Snowflake, Azure, ADLS, ADF, and Power BI.
</li></ul><ul><li>Exposure to MLOps, GenAI, Agentic AI, LLMs, CI/CD, and automation.
</li></ul><ul><li>Experience working with AI agents, prompt engineering, and workflow orchestration.
</li></ul><ul><li>Mentorship from Data, AI/ML, and Platform Engineers.
</li></ul>Experience in Agile/Scrum and DevOps/MLOps environments.<br>
<ul><li>
</li></ul><p></p><p><b>Qualifications
</b></p><ul><li>Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field.
</li></ul><ul><li>Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
</li></ul><ul><li>Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
</li></ul><ul><li>Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial.
</li></ul><ul><li>Experience with Python-based AI/ML projects or notebooks is a plus.
</li></ul><ul><li>Strong analytical and problem-solving skills.
</li></ul><ul><li>Strong communication and teamwork skills.
</li></ul><p></p><p>The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.</p></div>

Data Engineer – Agentic AI & ML Ops (Co-op)

FTI Defense

<div>Overview:
<div>
FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.</div><div></div><div><br>
FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.</div>
Responsibilities:
<ul><li>Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.</li><li>
Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.</li><li>
Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).</li><li>
Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).</li><li>
Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.</li><li>
Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).</li><li>
Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.</li><li>
Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.</li><li>
Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.</li><li>
Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.</li></ul>
Education/Qualifications:
<div><b>
Minimum Requirements:</b></div><ul><li><b>
Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.</b></li><li>
6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.</li><li>
Minimum of 3 years' professional experience within the <b>Department of Defense/Department of War (DoD/DoW)</b> AI assurance, security, and deployment environments.</li><li>
Strong Python development skills with hands-on experience building AI/ML solutions.</li><li>
Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.</li><li>
Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.</li><li>
Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).</li><li>
Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.</li><li>
Professional experience integrating AI capabilities into production systems or mission applications.</li></ul><div>
 <b>Preferred Qualifications:</b></div><ul><li>
Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.</li><li>
Understanding of prompt engineering, retrieval quality, and grounding methods.</li><li>
Exposure to GPU-based or edge inference environments.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related technical field.</li><li>
Active Secret clearance preferred; ability to obtain one is <b>required</b>.</li></ul><div></div><div><br>
#LI-KM1</div><div>
#LI-Remote</div></div>

AI/ML Engineer

MANTECH

<div><p>MANTECH seeks a motivated, career, and customer-oriented <b>AI Engineer</b> for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment.</p><p>
The <b>AI Engineer</b> supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern Hub-and-Spoke architecture, supporting mission applications and enterprise AI governance.</p><p></p><p><b>
Responsibilities include but are not limited to:</b></p><ul><li>
Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).</li><li>
Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production.</li><li>
Build and maintain scalable AI orchestration frameworks and production-ready AI systems.</li><li>
Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization.</li><li>
Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions.</li><li>
Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel.</li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li>
Must possess 7 or more years of experience in AI/ML production engineering, development, or related roles. Relevant additional experience will be considered in lieu of degree.</li><li>
Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch.</li><li>
In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management.</li><li>
Experience with Kubernetes-based AI deployments and GPU optimization techniques.</li><li>
Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center).</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering or a related field.</li><li>
Experience with LangGraph, Semantic Kernel, and agentic AI systems.</li><li>
Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases.</li><li>
Advanced degree (Master's or PhD) in a technical field.</li></ul><p></p><p><b>
Clearance Requirements:</b></p><ul><li>
TS/SCI with the ability to obtain and maintain a polygraph</li></ul><p></p><p><b>
Physical Requirements:</b></p><ul><li>
The person in this position must be able to remain in a stationary position 50% of the time.</li><li>
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.</li><li>
Constantly operates a computer and other office productivity machinery.</li></ul></div><p></p>

AI Engineer

QuidelOrtho Corporation

<div><h2 class="jobSectionHeader"><b>The Opportunity<br>
</b></h2><p></p><p>QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most &ndash; home to hospital, lab to clinic.
</p><p></p><p>Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all.
</p><p></p><p><b>The Role
</b></p><p>At QuidelOrtho, we&rsquo;re <b><i>advancing the power of diagnostics for a healthier future for all </i></b>. Join our mission as our next AI/ML Data Engineer to support our Global Data and Analytics team. The AI/ML Data Engineer will be responsible for designing, building, and optimizing data pipelines and infrastructure using Databricks to support AI and machine learning (ML) initiatives. This role will involve working closely with business stakeholders to identify high-value AI/ML use cases and translating business requirements into technical solutions. The engineer will work to ensure the successful deployment of AI/ML solutions at scale, leveraging Azure services and Databricks tools.
</p><p></p><p>This position will support a hybrid schedule at our San Diego (Summers Ridge) office.
</p><p></p><p><b>The Responsibilities
</b></p><ul><li>Work directly with business stakeholders to identify and define AI/ML use cases, translating business needs into technical requirements.
</li><li>Design, develop, and optimize scalable data pipelines in Databricks for AI/ML applications, ensuring efficient data ingestion, transformation, and storage.
</li><li>Build and manage Apache Spark-based data processing jobs in Databricks, ensuring performance optimization and resource efficiency.
</li><li>Implement ETL/ELT processes and orchestrate workflows using Azure Data Factory, integrating various data sources such as Azure Data Lake, Blob Storage, and Microsoft Fabric.
</li><li>Collaborate with Data Engineering teams to meet data infrastructure needs for model training, tuning, and deployment within Databricks and Azure Machine Learning.
</li><li>Monitor, troubleshoot, and resolve issues within Databricks workflows, ensuring smooth operation and minimal downtime.
</li><li>Implement best practices for data security, governance, and compliance within Databricks and Azure environments.
</li><li>Automate data and machine learning workflows using CI/CD pipelines through Azure DevOps.
</li><li>Maintain documentation of workflows, processes, and best practices to ensure knowledge sharing across teams.
</li><li>Perform other work-related duties as assigned.
</li></ul><p></p><p><b>The Individual
</b></p><p></p><p>Required:
</p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
</li><li>1-3 years of experience in data engineering, with a strong focus on Databricks and AI/ML applications.
</li><li>Proven experience working directly with business stakeholders to identify and implement AI/ML use cases.
</li><li>Expertise in Apache Spark and hands-on experience with Databricks for building and optimizing data pipelines.
</li><li>Strong programming skills in Python and Scala for data engineering and machine learning workflows in Databricks.
</li><li>Experience with Azure Data Factory, Azure Data Lake, Azure Blob Storage, and Azure Synapse Analytics.
</li><li>Proficiency with Databricks Delta Lake for data reliability and performance optimization.
</li><li>Familiarity with MLflow and Databricks Runtime for Machine Learning for model management and deployment.
</li><li>Knowledge of Azure DevOps for implementing CI/CD pipelines in Databricks-based projects.
</li><li>Strong understanding of data governance, security practices, and compliance requirements in cloud environments.
</li><li>Familiarity with emerging Databricks features such as Delta Live Tables and Unity Catalog.
</li><li>Ability to travel up to 5-10%.
</li><li><b>This position is not currently eligible for visa sponsorship.
</b></li></ul><p></p><p><b>Preferred:
</b></p><ul><li>Experience with real-time data processing using Apache Kafka or Azure Event Hubs.
</li><li>Master's degree in Computer Science or related technical fields.
</li></ul><p></p><p><b>The Key Working Relationships
</b></p><p><b>Internal Partners:
</b></p><ul><li>Regular collaboration with business stakeholders to identify and implement AI/ML solutions that drive business value.
</li><li>Close interaction with data engineers and cross-functional teams to ensure the successful integration of data pipelines and AI/ML models.
</li><li>Work alongside IT teams to optimize cloud infrastructure and resource allocation within Databricks and Azure.
</li></ul><p></p><p><b>External Partners:
</b></p><ul><li>Customers and Vendors.
</li></ul><p></p><p><b>The Work Environment
</b></p><p>No strenuous physical activity, though occasional light lifting of files and related materials is required. 30% of time in meetings, working with team, or talking on the phone, 70% of the time at the desk on computer, doing analytical work. Minimal travel required 5-10%. Travel includes airplane, automobile travel and overnight hotel.
</p><p></p><p><b>Physical Demands
</b></p><p>Typically, 40% of time in meetings; 60% of time at the desk on computer/doing paperwork/ on phone, doing analytical work. Walking, standing, and sitting for long periods of time are routine to accomplish tasks in this role. Specific vision abilities required by this job include close and distance vision and the ability to adjust focus. Ability to travel on short term notice.
</p><p></p><p><b>Salary Transparency
</b></p><p>The salary range for this position takes into account a wide range of factors including education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on the facts and circumstances of each case. The salary range for this position is $70,000 to $80,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time), and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate.
</p><p></p><p><b>Equal Opportunity
</b></p><p>QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform the duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at recruiting@quidelortho.com .</p></div><p></p>

AI/ML Data Engineer (Databricks)

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