knowledge engineer

<div><div>Job Title: Ontology Engineer</div>
Location: Remote 
Who We Are 
NWEA&reg; is a division of HMH that supports students and educators through research, assessment solutions, policy and advocacy services, professional learning and school improvement services that fight for equity, drive classroom impact and push for systemic change in our educational communities. For nearly 50 years, NWEA has developed innovative pre-K&ndash;12 assessments, including their flagship interim assessment, MAP&reg; Growth&trade; and their reading fluency and comprehension assessment, MAP&reg; Reading Fluency&trade;. 
What You&rsquo;ll Do 
The Ontology Engineer plays a pivotal role in shaping our organization's knowledge structure. They are responsible for developing and managing ontologies that underpin our information systems, facilitating better data organization and knowledge discovery. 
Responsibilities 
<ul><li>
Develops and maintains logical, semantically rich, and extensible ontologies that define and structure knowledge and underpin the K-12 education domain and HMH products.</li><li>
Supports integration between the ontology management system and source data management repositories, including triple store development and investigation by writing SPARQL queries against RDF, OWL or validating with SHACL.</li><li>
Ensures the accuracy and consistency of ontological structures by performing regular quality checks and updates as needed.</li><li>
Collaborates with cross-functional teams to understand their information needs and provide ontological solutions that support their objectives.</li><li>
Creates comprehensive documentation for ontologies and knowledge graphs, making them accessible to both technical and non-technical stakeholders.</li><li>
Coordinates with the Data engineering and operations, and content development teams to ensure the knowledge representation is aligned with enterprise data systems.</li></ul> 
What You&rsquo;ll Need 
<ul><li>Advanced degree in philosophy, computer science, information science, or quantitative field, or equivalent experience.</li><li>
Proficiency in ontology modeling languages such as RDF, OWL, or SHACL and vocabularies such as SKOS.</li><li>
Demonstrate advanced knowledge of ontology modeling languages such as RDF, OWL, or SHACL, and vocabularies like SKOS.</li><li>
Familiarity with query languages like SQL and SPARQL or other property graph query languages like Gremlin, openCypher.</li><li>
Experience with semantic data integration and using graph databases/triplestores, including modeling tradeoffs, query optimization, and operational considerations for production use.</li><li>
Experience with ontologies, knowledge graphs, and/or semantic technologies such as Stardog, Prot&eacute;g&eacute;, Semaphore, PoolParty, or related ontology management systems.</li><li>
Experience using foundational/top-level ontologies, especially Basic Formal Ontology (BFO), Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE), Common Core Ontologies, or OBO Foundry.</li><li>
Experience integrating multiple disparate data sets into a common vocabulary and writing effective queries for use in a production environment.</li><li>
Be skilled in integrating multiple disparate data sets into a common vocabulary and writing effective queries for production environments.</li><li>
Hands-on experience with high-level programming and scripting languages, such as Python, R, and Java.</li><li>
Strong software engineering practices applied to semantic and analytics assets: git, pull requests/code review, test/validation practices (e.g., SHACL/dbt tests where applicable), and CI/CD-aware release discipline.</li><li>
Excellent problem-solving skills and easily adapt to new technologies, trends, and frameworks.</li></ul> 
Salary range: 90k &ndash; 103k annually. 
Application Deadline:
The application window for this position is anticipated to close April 5, 2025. We encourage you to apply as soon as possible. The posting may be available after this date but is not guaranteed. 
HMH is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most qualified employees without regard to race, gender, color, religion, sexual orientation, family status, marital status, pregnancy, gender identity, ethnic/national origin, ancestry, age, disability, military status, genetic predisposition, citizenship status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran, other covered veteran, or any other characteristic protected by federal, state or local law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity. We actively participate in E-Verify.
#LI-VA1</div>

Ontology Engineer

NavitasPartners

<div>Job Title: AI/ML Engineer (LLM &amp; Generative AI)
<h3 class="jobSectionHeader">
Location: Plano, TX or Hopewell, NJ</h3>
<h6 class="jobSectionHeader">Note: Client is looking for someone, who is eligible for getting Security Clearance at any point of time.</h6>
<h3 class="jobSectionHeader">Job Summary:</h3>

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced AI solutions, including large language model (LLM)-based applications and generative AI systems. The ideal candidate will have hands-on experience with modern AI frameworks, cloud platforms, and scalable deployment practices.

<h3 class="jobSectionHeader">Key Responsibilities:</h3>
<ul>
<li>Develop and deploy AI/ML models, LLM-based solutions, and generative AI applications
</li>
<li>Design and implement MCP servers and AI-driven architectures
</li>
<li>Build and optimize prompts, RAG pipelines, embeddings, and vector search solutions
</li>
<li>Design AI workflows using platforms such as Azure OpenAI, AWS, Google Cloud Platform, Hugging Face, LangChain, and Semantic Kernel
</li>
<li>Integrate AI models into production systems using APIs, Python, and cloud services
</li>
<li>Collaborate with business stakeholders to identify use cases and deliver measurable outcomes
</li>
<li>Ensure adherence to responsible AI practices, including data privacy and model governance
</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul>
<li>Hands-on experience with LLMs (e.g., GPT, Claude, Llama, Gemini)
</li>
<li>Strong understanding of machine learning, NLP, computer vision, and model evaluation techniques
</li>
<li>Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
</li>
<li>Experience with RAG architectures and vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search)
</li>
<li>Experience with cloud platforms: Azure, AWS, or Google Cloud AI services
</li>
<li>Knowledge of MLOps, CI/CD for ML pipelines, and scalable model deployment
</li>
</ul><h3 class="jobSectionHeader">Preferred Skills:</h3>
<ul>
<li>Experience with AI copilots, automation frameworks, and agentic AI systems
</li>
<li>Familiarity with Docker, Kubernetes, microservices, and API orchestration
</li>
<li>Strong ability to communicate complex AI/ML concepts clearly to technical and non-technical stakeholders
</li>
</ul><h3 class="jobSectionHeader">Additional Skills:</h3>
<ul>
<li>Python
</li>
<li>Machine Learning
</li>
<li>AI Technologies (OpenShift, React)
</li>
</ul>For more details reach at resumes@navitassols.com.</div>

AI/ML Engineer (LLM & Generative AI) - AIENGG #NJ

Baylor Miraca Genetics Laboratories LLC

<div>As a QA Engineer for Knowledge Informatics, you will be responsible for ensuring the quality, accuracy, and integrity of data and information systems within the knowledge management and informatics environment. This role involves performing comprehensive testing of data-driven applications, working with data integration systems, and collaborating with cross-functional teams to ensure that knowledge systems meet both functional and regulatory requirements. You will help ensure the delivery of high-quality products that drive organizational efficiency and enhance decision-making. 


Key Responsibilities:
<ul>
<li>Quality Assurance Strategy: Develop and implement comprehensive QA strategies for knowledge informatics systems, including data management platforms, reporting tools, and analytics solutions.</li>
<li>Test Planning and Execution: Create and execute detailed test plans, test cases, and automated tests for new and existing applications and systems related to knowledge informatics.</li>
<li>Data Validation: Perform data validation testing to ensure data accuracy, consistency, and integrity across multiple sources and platforms. Identify and report any discrepancies or issues.</li>
<li>Collaboration with Teams: Work closely with data engineers, developers, business analysts, and product owners to identify requirements, ensure alignment on testing objectives, and troubleshoot issues.</li>
<li>Automated Testing: Develop and implement automated testing scripts to ensure consistent testing and improve the efficiency of the QA process. Use appropriate testing tools and frameworks (e.g., Playwright, Cucumber).</li>
<li>System Integration Testing: Conduct integration testing to ensure that various systems, applications, and data flows work seamlessly together, meeting functional requirements and data accuracy standards.</li>
<li>Regulatory Compliance: Ensure that all systems and data management practices are following industry regulations, such as HIPAA, GDPR, or other relevant standards.</li>
<li>Defect Management: Identify, track, and manage defects through the lifecycle, including initial identification, reproduction, resolution, and retesting. Communicate issues to relevant stakeholders and assist in troubleshooting.</li>
<li>Documentation and Reporting: Maintain detailed documentation of test plans, test cases, test results, and defect logs. Provide regular status updates to the project team and stakeholders.</li>
<li>Continuous Improvement: Stay up to date with industry&rsquo;s best practices, tools, and technologies related to QA and knowledge informatics. Identify opportunities for improving the QA process and increasing test efficiency.</li></ul> 


Qualifications:
<ul>
<li>Education: Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, or a related field.</li>
<li>Experience:</li>
<li><ul><li>3+ years of experience in Quality Assurance engineering, with a focus on data-driven applications and informatics systems.</li>
<li>Hands-on experience with QA tools and frameworks for testing applications, especially in knowledge management or informatics domain.</li>
<li>Experience with data validation, data integration testing, and ensuring data quality.</li>
<li>Familiarity with regulatory requirements and compliance standards related to data management (e.g., HIPAA, GDPR).</li>
</ul></li><li>Skills:</li>
<li><ul><li>Strong knowledge of manual and automated testing techniques and tools (e.g., Selenium, JUnit, TestNG).</li>
<li>Proficient in scripting languages such as Python, Java, or SQL for test automation and data manipulation.</li>
<li>Experience with version control systems such as Git.</li>
<li>Strong analytical and problem-solving skills, with attention to detail in identifying and addressing issues.</li>
<li>Familiarity with CI/CD pipeline tools and processes.</li>
<li>Excellent communication skills and the ability to collaborate with cross-functional teams to drive quality standards.</li></ul></li></ul> 

Preferred Qualifications:
<ul>
<li>Experience in knowledge management, data analytics, or informatics systems.</li>
<li>Familiarity with data visualization tools (e.g., Tableau, Power BI) and their testing.</li>
<li>Experience with cloud-based testing and cloud infrastructure (e.g., AWS, Azure).</li>
<li>Familiarity with test management tools (e.g., Jira, XRay).</li>
<li>Certification in software testing (e.g., ISTQB).</li></ul> 


EEO Statement

Baylor Miraca Genetics is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic under applicable law. 


Note to Recruiters:

 We value building direct relationships with our candidates and prefer to manage our hiring process internally. While we occasionally partner with select recruitment agencies for specialized roles, we do not accept unsolicited resumes from recruiters or agencies without a written agreement executed by the authorized signatory for Baylor Genetics (&quot;Agreement&quot;). Any resumes submitted to Baylor Genetics in the absence of an Agreement executed by Baylor Genetics' authorized signatory, will be considered the property of Baylor Genetics, and Baylor Genetics will not be obligated to pay any associated recruitment fees.</div>

Knowledge Informatics QA Engineer

Waymo

<div><div>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</div>
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that &ldquo;perceives&rdquo; the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

The Geometry team&rsquo;s mission is to provide an early layer of perception for background subtraction, ground segmentation, and obstacle generation. Projects on our team generally require a diverse skill set of ML and geometric algorithms, onboard sensing and offboard mapping, and the ability to write and maintain efficient robust code. For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning.

You will:
<ul>
<li>Combine ML and geometric algorithms to solve 3D spatial reasoning problems.</li>
<li>Apply machine learning techniques to build multi-modal sensor fusion architectures and spatial-temporal representation learners for object detection and tracking, occupancy and semantic segmentation, road understanding, etc.</li>
<li>Develop scalable recipes for large data, large model training running on Alphabet&rsquo;s compute infrastructure, create methods and recipes for pre-training and post-training.</li>
<li>Develop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system.</li>
<li>Develop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned models</li>
</ul>
You have:
<ul>
<li>Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience</li>
<li>3+ years experience in Machine Learning and/or Computer Vision</li>
<li>Experience with Python and familiarity with C++</li>
<li>Experience with ML frameworks like PyTorch, JAX, or Tensorflow.</li>
</ul>
We prefer:
<ul>
<li>MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline</li>
</ul><div><div>
<div>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</div>
<div>Salary Range</div>
<div>$175,000&mdash;$215,000 USD</div></div></div></div>

Machine Learning Engineer, Geometry Team

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.
 
 
You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. 
 
Key job responsibilities 
<ul><li>Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
</li><li>Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches</li><li>Analyze and extract insights from large amounts of data
</li><li>Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language</li><li>Use modeling tools to bootstrap or test new AI functionalities
</li><li>Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models
</li></ul> 
About the team 
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development</li><li>Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)</li><li>2+ years experience in computational linguistics or language data processing or AI data creation</li><li>Experience with language data annotation systems and other forms of data markup</li><li>Proficient with scripting languages, such as Python</li><li>Experience working with speech, text, and multimodal data in multiple languages</li><li>Excellent communication, strong organizational skills and very detailed oriented</li><li>Comfortable working in a fast paced, highly collaborative, dynamic work environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>PhD in Computational Linguistics (or equivalent field with computational emphasis)</li><li>Expertise in bootstrapping AI data collections for quickly evolving requirements</li><li>Extensive experience working with speech, text, and multimodal data in multiple languages</li><li>Experience in data creation for complex agentic workflows</li><li>Practical experience with Machine Learning and technical concepts such as API</li><li>Practical knowledge of version control and agile development; familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Sunnyvale - 86,500.00 - 151,400.00 USD annually 
USA, MA, Boston - 75,200.00 - 131,600.00 USD annually 
USA, WA, BELLEVUE - 82,700.00 - 131,600.00 USD annually</div>

Language Engineer, Artificial General Intelligence - Data Services

mepcontracting2017@gmail.com

The Planning Engineer will be responsible for overseeing and coordinating various MEP construction projects. They will develop project plans, monitor progress, manage resources, and ensure that projects are completed on time and within budget.Qualifications<ul><li>Mechanical Engineer or Electrical Engineer</li><li>Proven experience as a Planning Engineer in the construction industry</li><li>Strong knowledge of construction methodologies and project management principles</li><li>Proficiency in project management software and tools</li><li>Excellent communication and interpersonal skills</li><li>Ability to analyze data and make informed decisions</li><li>Attention to detail and strong organizational skills</li><li>Ability to work well under pressure and meet tight deadlines</li><li>Knowledge of relevant regulations and standards</li><li>Professional certifications (e.g., PMP) are a plus</li></ul>Job Type: Full-timePay: Up to AED15,000.00 per monthExperience:<ul><li>Planning Engineer: 2 years (Required)</li><li>MEP Contracting Contracting Company: 2 years (Required)</li></ul>License/Certification:<ul><li>Mechanical Engineer or Electrical Engineer Degree (Required)</li></ul>

Planning Engineer

Teraciel Group

Greetings!We require an experienced MEP Engineer for our company.PRIMARY DUTIES AND RESPONSIBILITIES:Required a thorough knowledge of all the MEP works such as Plumbing, electrical, mechanical, firefighting, IT/AV, etc.Should have sound knowledge of Dewa/ Sewa requirementsShould be well versed with AutoCADShould have sound knowledge of MEP drawing review and preparationShould have sound knowledge about the MEP material, specifications, and brandsAble to prepare the Method Statements, ITP's, checklists, etc.Should know the Material Submittals/ Sample Submissions/ Mockups process for all the MEP worksShould have a thorough knowledge of the MEP sequence of worksShould have experience in Luxury villasTechnically he should be sound for doing T&amp;C of all the MEP equipmentShould be a DDA/ DM/DEWA registered EngineerAble to prepare the O&amp;M Manuals for all the MEP worksShould be 7+ years of experience. (In any GCC)Should have B.E./ B.Tech graduation qualification in Electrical.Should be able to speak in English &amp; HindiExperience: 7+ YearsExperience as an MEP Engineer in Luxury Villa Projects.Location: Dubai, UAE.Job Type: Full-timePay: Up to AED15,000.00 per monthExperience:<ul><li>Luxury Villa / Luxury Hotel: 2 years (Required)</li><li>MEP Engineer: 7 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>License/Certification:<ul><li>Bachelors / Diploma in Electrical (Required)</li><li>DDA/ DM/DEWA Registered Engineer (Preferred)</li></ul>Work Location: In person

MEP Engineer (Luxury Villas)

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