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ai engineer

Infosys

<div><p><b>Infosys Limited is seeking an AI Engineer.</b> In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will provide inputs for identifying best-fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best-fit and high-quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.<br>
<br>
<b>Required Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.</li><li>
Candidate must be located within commuting distance of <b>Houston, TX</b><b> </b>or be willing to relocate to the area.</li><li>
At least 4 years of experience in Information Technology</li><li>
Experience in AI, data engineering, creating data pipelines and processing huge volume of data.</li><li>
Experience in Machine learning engineering /MLE, data science and data engineering with a proven track record of delivering impactful solutions</li><li>
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time</li></ul><b>
Preferred Qualifications</b>:<ul><li>
Good understanding of Agile software development frameworks</li><li>
Strong communication and Analytical skills</li><li>
Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams</li><li>
Experience and desire to work in a global delivery environment</li></ul><p><i>
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
</i><br>
<br>
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits :-</p><ul><li>
Medical/Dental/Vision/Life Insurance</li><li>
Long-term/Short-term Disability</li><li>
Health and Dependent Care Reimbursement Accounts</li><li>
Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)</li><li>
401(k) plan and contributions dependent on salary level</li><li>
Paid holidays plus Paid Time Off</li></ul></div>

AI Engineer

PARKHILL

<div>Overview:
<div>
The Senior Data &amp; AI Engineer will design, build, and maintain the infrastructure and systems that power data and AI use cases at Parkhill. This role focuses on data pipelines, production AI systems, and scalable platforms that enable data analyst/scientists and business teams to work efficiently with reliable, high-quality data.
</div>Responsibilities:
<ul><li>Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure</li><li>
Design, implement, and maintain end-to-end data pipelines from AEC specific source systems (ex. Civil3D, Revit, Procore, etc.) into a use-case-ready environment</li><li>
Collaborate with business SMEs, data analysts/scientists, and the Digital Practice group to provide reliable and clean data</li><li>
Build and deploy machine learning and AI models into production environments, ensuring scalability and reliability</li><li>
Manage cloud platforms and data storage systems
</li><li>Develop APIs and platforms to enable integration of AI solutions into business use cases</li><li>
Optimize data systems for speed, efficiency, and reliability</li><li>
Mentor junior engineers and provide technical leadership for data infrastructure initiatives</li></ul>
Qualifications:
<ul><li>7+ years in data engineering, AI engineering, or software engineering roles, preferably in the AEC industry</li><li>
Experience with cloud platforms (Azure, AWS) and big data tools
</li><li>Strong proficiency in Python, SQL, and data engineering frameworks</li><li>
Experience deploying ML/AI models into production (Docker, Kubernetes)</li><li>
Familiarity with AI/ML frameworks for production use</li><li>
Experience with data visualization/BI tools (Power BI, Tableau) a plus</li><li>
Understanding of data security, governance, and compliance standards</li></ul></div>

Senior Data & AI Engineer

Tyndale Company, Inc.

<div>
 The Tyndale Company is seeking a
 <strong>
  Machine Learning Engineer
 </strong>
 to join our growing AI organization. This role will play a critical part in our mission to harness data for advanced AI and Machine Learning applications. You will collaborate with data scientists, data engineers and business stakeholders to own the full lifecycle of our ML models and Generative AI applications. This is an exciting opportunity to shape the foundation of our AI and Machine Learning efforts, driving impactful insights and innovations.
 <br/>
 <br/>
 <strong>
  HYBRID/REMOTE:
 </strong>
 Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely.
 <strong>
  To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).
  <br/>
  <br/>
 </strong>
 The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector &ndash; including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We&rsquo;re a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We&rsquo;re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own the Full Lifecyle: Own the full lifecycle of classical ML and GenAI features from prototypes to production. This includes rapid POCs, automated tests, containerisation, and production deployment through our AWS pipeline.
  </li>
  <li>
   RAG &amp; LLM work: Build retrieval-augmented generation services using vector stores (OpenSearch, Pinecone, PGVector, etc.), prompt-orchestration frameworks (LangChain / LlamaIndex), and fine-tuning or supervised-RL when off-the-shelf LLMs fall short.
  </li>
  <li>
   Create and maintain inference APIs: Design, implement, and document REST / GraphQL / SSE endpoints (FastAPI or AWS Lambda) so other teams and external partners can consume models with zero guess-work.
  </li>
  <li>
   Infrastructure-as-Code: Write and maintain Terraform / AWS CDK modules that one-click deploy training jobs, inference services, monitoring, and alerting.
  </li>
  <li>
   Feature engineering &amp; inference services: Design reusable feature pipelines in PySpark / Pandas on top of the lakehouse; expose real-time inference via FastAPI or AWS Lambda.
  </li>
  <li>
   Evaluation &amp; guardrails: Define offline and online evaluation matrices, set up hallucination/bias checks, and wire metrics into Grafana/DataDog.
  </li>
  <li>
   Cross-functional collaboration: Pair with the Senior Data Scientist on modelling strategy, the Data Engineer on schema evolution, and our CloudOps team on infrastructure tweaks&mdash;then demo real impact to business stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  </li>
  <li>
   Minimum of 4 years in ML Engineering, with at least 1 year building LLM or generative AI products in production.
  </li>
  <li>
   Pro-level Python; hands-on with PyTorch or TensorFlow/Keras; comfortable writing optimized SQL code.
  </li>
  <li>
   Familiar with LangChain/LlamaIndex, vector databases, and prompt-engineering strategies.
  </li>
  <li>
   Production experience on AWS (SageMaker, Bedrock, Lambda, Step Functions, ECS/EKS).
  </li>
  <li>
   Infrastructure-as-Code &ndash; hands-on with Terraform to codify everything: training pipelines, SageMaker endpoints, Lambda/Fargate deploys, monitoring alerts.
  </li>
  <li>
   API design &amp; implementation &ndash; proven experience exposing ML models through FastAPI, Flask, or equivalent REST/GraphQL/SSE frameworks, including auth, versioning, and OpenAPI docs.
  </li>
  <li>
   Solid software-engineering habits&mdash;CI/CD (GitHub Actions), code reviews, unit/integration testing.
  </li>
  <li>
   Ability to translate model metrics into plain-English business value.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Health &amp; Wellness : Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
  </li>
  <li>
   Work-Life Balance : Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
  </li>
  <li>
   Financial Compensation : Competitive salary, 401(k) with matching, and bonus opportunities.
  </li>
  <li>
   Career Growth &amp; Development : Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
  </li>
  <li>
   Culture &amp; Perks : Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.
  </li>
 </ul>
</div>


Machine Learning Engineer

Forum Energy Technologies

<div><p><b>Job Summary:</b></p>
<p>
We are seeking a technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This role is pivotal to our AI transformation journey, enabling autonomous AI agents that streamline operations, enhance decision-making, and unlock new efficiencies across the organization. The ideal candidate will possess a hybrid skill set spanning machine learning, data engineering, and software development, with a passion for building scalable AI systems and a strong foundation in data governance.</p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions (e.g., IT, HR, Finance, Operations).</li>
<li>Collaborate with cross-functional teams to identify high-impact AI use cases and translate them into technical solutions.</li>
<li>Build and maintain robust ML pipelines, including data ingestion, model training, deployment, and monitoring (MLOps).</li>
<li>Lead data standardization initiatives to ensure high-quality, consistent, and AI-ready data across systems.</li>
<li>Partner with data engineering and IT teams to define and implement data governance frameworks, taxonomies, and metadata standards.</li>
<li>Monitor and optimize AI model performance in production environments, ensuring reliability, scalability, and alignment with business goals.</li>
<li>Serve as a technical advisor on AI/ML best practices, tools, and emerging technologies.</li>
<li>Support change management efforts to improve data literacy and promote standardization best practices</li>
<li>Stay ahead of industry trends and maintain compliance with evolving regulations affecting AI and data.</li>
</ul>
<p><b>Required Qualifications:</b></p>
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.</li>
<li>5+ years of experience in machine learning engineering, data science, or AI solution development.</li>
<li>Proven experience deploying ML models into production environments using cloud platforms (e.g., Azure, AWS, GCP).</li>
<li>Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.</li>
<li>Strong understanding of data structures, algorithms, and software engineering principles.</li>
<li>Experience with data governance, data quality frameworks, and enterprise data architecture.</li>
<li>Familiarity with MLOps tools and practices (e.g., CI/CD for ML, model monitoring, versioning).</li>
<li>Excellent communication skills and ability to collaborate across technical and non-technical teams.</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Experience building or integrating AI agents or autonomous systems.</li>
<li>Knowledge of enterprise systems (e.g., ERP, CRM) and their data structures.</li>
<li>Familiarity with data visualization tools (e.g., Power BI / SSRS) and SQL.</li>
<li>Experience with multi-agent systems or agent orchestration frameworks.</li></ul></div>

AI Architect

University of Houston

<p></p><div><div><div><div><div><ul><li>495898
</li> </ul></div><div></div><div><ul><li>Part-Time
</li> </ul></div><div></div><div><ul><li>Civil Engineering
</li> </ul></div></div><div></div><div><div><div><b>Add to favorites
</b></div></div> <div></div><div><b>View favorites
</b></div></div><div><b>Department</b>: Civil Engineering <b>Salary</b>: 20.67 - 23.51
<p><b>Description</b>:</p>
<p>
Provides assistance and expertise in various areas of research such as calibration of instrumentation, equipment maintenance and repair, preparation of samples for testing, monitoring of safety equipment and procedures, development and fabrication of prototype equipment, recording of test results, and basic analyses of data.
<br>
<br>
1. Ensures experiments are preformed according to specification.
<br>
2. May make practical technical recommendations to changes in procedures, equipment, or prototype design.
<br>
3. Applies basic skill and develops advanced skills.
<br>
4. Often assists with, and may perform, some advanced functions.
<br>
5. Solves most routine problems while referring more complex questions to higher levels.
<br>
6. Receives direct supervision but is expected to select from a variety of standard procedures to complete tasks.
<br>
<br>
Join a team building advanced computer vision systems that model and analyze real-world infrastructure through advances in 3D vision and AI. Our mission is to transform how physical infrastructure environments are documented, monitored, and maintained. You&rsquo;ll contribute to research and development efforts focused on creating accurate digital twins, improving anomaly detection models, and integrating visual data with spatial sensors like RGBD and LiDAR.<br>
<br>
This Research Engineer (Research Tech 1) role offers the opportunity to work across the full stack of data collection, model training, evaluation, software engineering, and deployment. The role is part-time 20-28 hours/week and ideal for those currently pursuing Masters or PhD degrees. The Research Engineer reports to Dr. Vedhus Hoskere in the College of Engineering/Civil and Environmental Engineering who may also be contacted for questions regarding the position (vhoskere@uh.edu)<br>
<br>
<b>Initial appointments will be for one year with the possibility of yearly renewal subject to funding availability.</b></p>
<div><b>
Responsibilities</b><br>
<ul><li>Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals (33%)</li><li>Conduct full stack development efforts including UI/UX, code maintenance, and deployment pipelines (33%)</li><li>Evaluate and refine AI models using annotated data and real-world image datasets (10%)</li><li>Curate multimodal real and synthetic datasets, including photogrammetry, LiDAR, and depth cameras, to build scalable analysis pipelines (10%)</li><li>Conduct data collection for validation of developed approaches (may involve occasional travel) (2%)</li><li>Collaborate with graduate and undergraduate student researchers (5%)</li><li>Perform other duties as assigned (7%)</li></ul><br>
<b>
Minimum Qualifications</b><br>
<ul><li>Bachelor&rsquo;s degree in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field</li><li>Strong Python programming skills</li><li>1-3 years software engineering experience</li><li>Practical experience with computer vision, ML, or 3D scene understanding</li><li>Ability to work collaboratively across technical teams</li><li>US Citizen</li></ul><br>
<b>
Preferred</b><br>
<ul><li>Master&rsquo;s degree in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field</li><li>Experience with photogrammetry, LiDAR alignment, or large-scale 3D data, and deep learning-based 3D vision and graphics</li><li>Familiarity with image annotation tools and dataset iteration workflows</li><li>Contributions to open-source, research publications, or production ML systems</li></ul><br>
MQ: Associate's Degree with 1 year of experience.</div>
<p>All positions at the University of Houston-System are security sensitive and will require a criminal history check.</p>
<p>
The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply.</p></div></div></div></div>

Research Technician 2 - Structures and Artificial Intelligence Lab

Ocean Blue Solutions Inc

<div>
 Data Scientist &ndash; AI/ML Focus
 <br/>
 <br/>
 12+ Months &ndash; Houston, TX (Hybrid x4)
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are seeking a Data Scientist with a strong foundation in AI/ML to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and deploying AI-driven solutions. Time Series Model Development expertise is required.
 <br/>
 <br/>
 This role involves working with LLMs, natural language processing (NLP), and deep learning techniques to develop AI-powered applications. You will play a pivotal role in designing, training, and deploying scalable AI/ML models, while also translating complex data insights into actionable business strategies.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 AI/ML Model Development: Design, train, and fine-tune machine learning and deep learning models, including LLMs, for predictive analytics, automation, and AI-driven decision-making.
 <br/>
 <br/>
 <strong>
  Technical Skills:
 </strong>
 AI &amp; Machine Learning: Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, LangChain).
 <br/>
 <br/>
 <strong>
  Programming:
 </strong>
 Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
 <br/>
 <br/>
 <strong>
  Data Engineering &amp; SQL:
 </strong>
 Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.
 <br/>
 <br/>
 <strong>
  Cloud &amp; MLOps:
 </strong>
 Experience with AWS (SageMaker, S3, Redshift), Snowflake, and ML pipeline automation.
</div>


Data Scientist - Houston,TX

<div>Overview:
<div>
The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate actionable insights that drive business decisions and project outcomes and support data and AI use cases. This role focuses on analyzing complex datasets, building predictive models, and advising multidisciplinary teams in architecture, engineering, and consulting services. The Senior Data Scientist will also contribute to the development of best practices for data and AI across the organization. This is a full-time position paid bi-weekly on a salary basis.</div><div></div><div><b><br>
Life at Parkhill</b></div><div><div>
At Parkhill, Building Community is the reason we exist. We invest in extraordinary people who love investing in their communities. We are more than planners, architects, and engineers &mdash; we are neighbors who choose to live and work in the communities we serve.</div></div><div></div><div><div><br>
Increase your impact with our team of passionate collaborators. Whether you are a recent graduate with untapped potential or a professional with proven experience, we invite you to discover a career path designed for you.</div></div><div></div><div><div><br>
Parkhill is one of the largest architectural and engineering firms in the Southwest with 14 offices located throughout Texas, New Mexico, and Oklahoma.</div></div>
Responsibilities:
<ul><li>Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure</li><li>
Analyze large, diverse datasets to identify trends, patterns, and opportunities for operational or project improvements.</li><li>
Develop predictive models and statistical analyses to inform planning, forecasting, and decision-making.</li><li>
Create dashboards and visualizations that communicate insights to both technical and non-technical stakeholders.</li><li>
Apply AI and machine learning methods, including generative AI, to support data and AI use cases.</li><li>
Collaborate with business SMEs, data engineer, and the Digital Practice group to translate analytics into actionable recommendations.</li><li>
Contribute to the growth of Parkhill&rsquo;s data science capabilities.</li><li>
Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field</li><li>
7+ years in data science, analytics, or AI roles</li><li>
Experience with AEC, engineering, or consulting environments</li><li>
Strong proficiency in Python or R, including relevant ML libraries</li><li>
Expertise in SQL and experience with data visualization tools (Power BI, Tableau)</li><li>
Familiarity with cloud platforms (Azure, AWS) for analytics and model deployment</li><li>
Experience with generative AI frameworks</li></ul><div><b>
Benefits and Perks</b></div><div>
We offer a comprehensive benefits program that supports the whole person. Our benefits include:</div><ul><li><div>
Life Balance: hybrid/flexible work schedules, flexible work environment, generous PTO, paid holidays.</div></li><li><div>
Investing in Your Future Growth: specialized training, continuing education, professional licensing, intern development programs, University of Parkhill.</div></li><li><div>
Competitive Benefits: Multiple health plan options, FSA for dependent care, HSA contributions, employer 401k contribution, employer-paid basic life, short/long term disability coverage, performance bonuses.</div></li></ul></div>

Senior Data Scientist

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