ai/ml engineer

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

<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>
For this role, the compensation range for candidates is $144k-$246k. *Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience. FTI has a location-based compensation structure; there may be a different range for candidates in other locations.</div><div></div><div><br>
#LI-KM1</div><div>
#LI-Remote</div></div>

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>
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AI/ML Engineer – Agentic AI

Booz Allen Hamilton

<div>AI/ML Engineer and Data Scientist<p><b>
The Opportunity:</b></p><p>
As a data scientist, you&rsquo;re excited at the prospect of unlocking the secrets held by a data set, and you&rsquo;re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors&mdash;from fraud detection to cancer research to national intelligence&mdash;we need you to help find the answers in the data.</p><p></p><p>
On our team, you&rsquo;ll use your leadership skills and data science expertise to create real-world impact. You&rsquo;ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You&rsquo;ll guide teammates and lead the development of algorithms and systems. You&rsquo;ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you&rsquo;ll provide a deep understanding of the data, what it all means, and how it can be used.</p><p></p><p>
Work with us as we use data science for good.</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li><p>
3+ years of experience with statistical and general-purpose programming languages for data analysis</p></li><li><p>
3+ years of experience analyzing structured and unstructured data sources</p></li><li><p>
Experience with data exploration, data cleaning, data analysis, data visualization, or data mining</p></li><li><p>
Experience developing predictive data models, quantitative analyses and visualization of targeted data sources</p></li><li><p>
Experience with natural language processing, text mining, or machine learning techniques</p></li><li><p>
Experience with REST APIs, webhooks, and automation middleware</p></li><li><p>
Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms</p></li><li><p>
Knowledge of AI and ML workflows leveraging existing AI and ML tools</p></li><li><p>
TS/SCI clearance</p></li><li><p>
Bachelor&rsquo;s degree</p></li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li><p>
Experience in the development of algorithms leveraging CDS, Gitlab, CI/CD, Argo CD, R, Python, or SQL and NoSQL</p></li><li><p>
Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL</p></li><li><p>
Experience with visualization packages, including Palantir, Plotly, Seaborn, or ggplot2</p></li><li><p>
Master's degree</p></li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AI/ML Engineer and Data Scientist

Magna International

<p></p><div><p><b>Job descriptions may display in multiple languages</b><b> </b><b>based on your language selection.</b></p><p></p><h2 class="jobSectionHeader"><b>
What we offer:</b></h2><div>
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.</div><div></div><h2 class="jobSectionHeader"><b>
Group Summary:</b></h2><div>
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That&rsquo;s what we&rsquo;re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.</div><p></p><div><div><div><div><div><div><div><p><b>
Job Responsibilities:</b></p></div></div></div></div></div></div></div><p>
This role is not eligible for visa sponsorship. Candidates must have current and ongoing authorization to work in the United States.</p><p></p><p><b>
JOB SUMMARY</b></p><p>
The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle&rsquo;s surroundings. The work spans concept through serial production: design and simulate algorithms, analyze and replay data, build and test classical and deep learning models, and optimize for real-time execution on production ECUs. Core tasks include object detection, segmentation, tracking, and image enhancement while meeting accuracy, latency, memory, and power targets. A strong background in image processing, machine learning, and mathematics/physics is required, with familiarity in vehicle dynamics considered a plus.</p><p><b>
ESSENTIAL JOB FUNCTIONS</b></p><ul><li>
Develop (design, implement, optimize) conventional image processing algorithms for automotive embedded serial production projects.</li><li>
Design, develop/tune, and optimize deep learning models for ADAS computer vision features (e.g., pruning, quantization) and improve computational performance.</li><li>
Plan and execute experiments to assess deep learning model effectiveness, compare architectures, and validate results through rigorous component/bench testing.</li><li>
Strong knowledge of various camera models; lens distortion correction; homograph and projective transformations mathematical techniques</li><li>
Analyze large datasets to extract insights, refine models, and improve overall performance and robustness.</li><li>
Stay current with deep learning advances and incorporate innovative techniques and research findings into projects.</li><li>
Collaborate with multidisciplinary (requirements, embedded, testing) teams to integrate models into existing systems and ensure seamless operation within the product ecosystem.</li><li>
Document development processes, maintain detailed experiment logs, and present findings clearly to stakeholders.</li><li>
Analyze defects and test results; perform root-cause analysis and implement algorithm improvements to achieve KPIs.</li><li>
Independently deliver intermediate-to-advanced ADAS algorithm design, implementation, and testing.</li><li>
Perform other duties in support of business objectives; maintain regular attendance; follow safe work procedures and PPE requirements; report hazards, injuries, and illnesses promptly; comply with Quality Operating System (QOS) and all safety regulations.</li></ul><p><b>
JOB REQUIREMENTS</b></p><p><b><i>
Education/Experience</i></b></p><ul><li>
Master&rsquo;s degree in computer engineering, Software Engineering, Electrical Engineering, Computer Science, or equivalent.</li><li>
Minimum of 3 years of experience in computer vision and image‑processing algorithm development using traditional methods and deep learning, with proven expertise in developing and implementing DNN models.</li><li>
Excellent programming skills with C or C++; familiarity with Python with proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras) is advantageous.</li><li>
Strong grasp of machine learning concepts and neural network architectures (CNNs, RNNs, transformers).</li><li>
Experience in image segmentation, object detection, and image data preparation/enhancement (e.g., normalization, augmentation, filtering, noise reduction, contrast adjustment, image restoration).</li><li>
Experience in optimizing models for performance, including techniques such as quantization and distributed training.</li><li>
Strong problem-solving abilities; capable of working independently and collaboratively; effective at communicating complex concepts to technical and non-technical audiences.</li><li>
Experience with responsibilities listed above in the serial development of automotive electronics is preferred.</li></ul><p></p><p><b><i>
Technical Knowledge</i></b></p><ul><li>
Strong foundations in mathematics and signal/image/video processing; computer vision fundamentals (object detection, tracking, feature extraction) with C/C++.</li><li>
Experience developing AI and Machine Learning Algorithms for embedded devices.</li><li>
Knowledge of automotive product development practices and structured engineering methodologies; development of portable, reusable, modular software for automotive systems.</li><li>
Strong troubleshooting and debugging skills, using structured problem-solving methods (e.g., 8D).</li><li>
Experience with disciplined software development processes (ASPICE or CMMI); configuration management; and project monitoring/control techniques.</li></ul><p></p><p><b><i>
Personal Requirements</i></b></p><ul><li>
Able to work effectively in a global environment</li><li>
Able to represent technical topics internally and externally</li><li>
Demonstrates self‑motivation, tenacity, and determination.</li><li>
Able to work independently with minimal supervision.</li></ul><p></p><ul><li>
Comprehensive knowledge of English (speak &amp; write)</li></ul><p></p><p><b>
PHYSICAL DEMANDS</b></p><p>
Normal amount of sitting and standing, average mobility to move around an office and plant environment, able to conduct normal amount of work on a computer.</p><p><b>
LIMITATIONS AND DISCLAIMER</b></p><p>
The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. Requirements are representative of minimum levels of knowledge, skills and/or abilities. To perform this job successfully, the employee must possess the abilities or aptitudes to perform each duty proficiently.</p><p>
All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or significant risk to the health and safety of themselves or other employees.</p><p>
This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform other job-related duties as requested by their supervisor in compliance with federal and state laws.</p><h2 class="jobSectionHeader"><b>
Awareness, Unity, Empowerment:</b></h2><p>
At Magna, we believe that a diverse workforce is critical to our success. That&rsquo;s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.</p><p></p><p><b>
AI-Assisted Screening Disclosure</b></p><p>
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.</p><p></p><p><b>
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.</b></p><p>
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.</p><div><div><div><div><div><div><div><p><b>
Worker Type:</b></p></div></div></div></div></div></div></div>
Regular / Permanent<div><div><div><div><div><div><div><p><b>
Group:</b></p></div></div></div></div></div></div></div>
Magna Electronics</div>

AI/ML Engineer/Software Programmer

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)

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
CVS Health is seeking a Staff Software Engineer specializing in developing machine learning solutions using Agentic AI/ML serving as a leader and role model in engineering for both peers and clients.</p><p></p><p>
The successful candidate will lead project teams working with a diverse range of technologies, including both legacy IBMi AS400 Series systems and advanced Agentic AI/ML frameworks.</p><p></p><p>
This team is part of the very impactful Claims Adjudication team and this role will be instrumental in our leap to modern AI driven approaches.</p><p></p><p>
**We will consider remote US for the right candidate</p><p></p><p><b>
Key Responsibilities</b></p><ul><li><p>
Able to develop a vision and formulate implementation plans to achieve end goals, evaluating situations, decisions, and issues in the short, medium, and long term.</p></li><li><p>
Capable of breaking down complex problems, processes, or projects into manageable components for systematic exploration and evaluation.</p></li><li><p>
Design and implement complex software solutions for APIs, microservices, CI/CD pipelines, and real-time streaming on cloud platforms such as Azure or GCP.</p></li><li><p>
Conduct research on emerging technologies, design principles, and development frameworks to ensure software solutions remain current, innovative, and future-proof.</p></li><li><p>
Provide technical guidance in software design and development activities, ensuring clean, scalable, and maintainable code following best practices and design patterns.</p></li><li><p>
Oversee the lifecycle process&mdash;including design, analysis, review, and testing results&mdash;to ensure adherence to quality standards and to deliver high-quality products.</p></li><li><p>
Lead the design, development, and optimization of AI/ML models for various use cases, ensuring a seamless transition into modern technologies while maintaining robust legacy infrastructure.</p></li><li><p>
Perform model training, evaluation, and fine-tuning with consideration of constraints and opportunities posed by legacy architectures.</p></li><li><p>
Partner with teams across functions and provide expert solutions to multiple complex technical projects/initiatives using interlocking technologies.</p></li><li><p>
Quickly acquire domain knowledge and build subject matter expertise to advise and guide technical leads and peers.</p></li><li><p>
Establish and drive execution of technical direction, standards, guidelines, and methodologies, while advocating best practices.</p></li><li><p>
Work to improve existing test automation processes, enhancing efficiency and reducing manual intervention across both legacy and modern environments.</p></li><li><p>
Develop and refine strategic and enterprise-wide technical direction.</p></li><li><p>
Create or revise operating procedures relating to specific technologies or IS processes.</p></li><li><p>
Lead assigned team projects and mentor junior resources as needed.</p></li></ul><p><b><br>
Required Qualifications</b></p><ul><li><p>
7+ years of experience as a Machine learning engineer or combination of machine learning and software engineering with 5+ years leading software development projects, including setting project goals, monitoring progress, tracking milestones, communicating with stakeholders, and mentoring junior developers</p></li><li><p>
5+ years of Python programming with In-depth understanding of APIs and microservices-based architecture and Git and version control</p></li><li><p>
2+ years of experience in AI and agentic solution development, including: Designing and deploying intelligent agents and autonomous workflows, Integrating AI/ML models into cloud-native applications. Leveraging LLMs, vector databases, and orchestration frameworks to build agentic systems, Applying prompt engineering, retrieval-augmented generation (RAG), and multi-agent collaboration patterns</p></li><li><p>
5+ years of experience developing software</p></li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li><p>
10+ years leading concurrent technical projects in both legacy IBMi/AS400 or similar and emerging technologies</p></li><li><p>
Health care industry domain knowledge</p></li><li><p>
Experience with enterprise development tools and methodologies (XP, Agile), including DevSecOps and DataOps</p></li><li><p>
Experience integrating with legacy IBMi AS400 applications and developing roadmaps for application modernization</p></li><li><p>
Experience with RxClaim or other PBM adjudication systems</p></li></ul><p><b><br>
Education</b></p><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field or equivalent experience. An advanced degree is preferred.</p><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$118,450.00 - $260,590.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
We anticipate the application window for this opening will close on: 07/08/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

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