machine learning specialist

Partex

<p><b>Content Marketing Specialist</b></p><p><b>Photography - Video - Social Media - Product Content</b></p><p><b>About Us</b></p><p>Soft Serve Parts is one of the largest online suppliers of commercial soft serve machine parts in the country. We serve thousands of restaurants, ice cream shops, frozen yogurt stores, concession stands, and service companies.</p><p>We're looking for someone creative who enjoys making videos, taking great product photos, and creating content that actually helps customers.</p><p><b>No knowledge of soft serve equipment is required. We'll teach you everything you need to know.</b></p><p>What You'll Do</p><p>Your primary responsibility is creating content.</p><p>Examples include:</p><ul><li>Photograph new products</li><li>Produce product videos</li><li>Film machine repairs and troubleshooting</li><li>Edit short-form videos for YouTube, Facebook, Instagram and TikTok</li><li>Create educational posts for social media</li><li>Update Shopify product pages with improved images and videos</li><li>Design simple graphics in Canva or Photoshop</li><li>Help build our YouTube channel</li><li>Turn technical explanations into engaging customer content</li><li>Occasionally assist with email marketing and website content</li></ul><p>Every week you'll be creating content that helps customers solve problems and choose the right parts.</p><p>We're Looking For Someone Who</p><ul><li>Enjoys photography and videography</li><li>Has a good eye for detail</li><li>Loves creating content</li><li>Can edit video efficiently</li><li>Is organized and self-motivated</li><li>Is comfortable learning technical products</li><li>Enjoys figuring out how things work</li><li>Takes pride in producing polished work</li></ul><p>Experience With</p><p>Preferred but not required:</p><ul><li>Adobe Premiere Pro</li><li>CapCut</li><li>Photoshop</li><li>Lightroom</li><li>Canva</li><li>Shopify</li><li>YouTube</li><li>Instagram</li><li>Facebook</li><li>TikTok</li></ul><p>Bonus Points If You Have Experience With</p><ul><li>Product photography</li><li>YouTube production</li><li>E-commerce</li><li>Industrial products</li><li>Automotive or mechanical industries</li><li>SEO</li><li>Copywriting</li></ul><p>Pay: $50,000.00 - $70,000.00 per year</p><p>Benefits:</p><ul><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li></ul><p>Work Location: In person</p>

Content Creator

Arrow Electronics

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Data Scientist / Senior Machine Learning Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Position Overview:
  <br/>
  <br/>
 </strong>
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
  </li>
  <li>
   Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
  </li>
  <li>
   Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
  </li>
  <li>
   Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
  </li>
  <li>
   Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
  </li>
  <li>
   Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
  </li>
  <li>
   Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
  </li>
  <li>
   Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
  </li>
  <li>
   Strong knowledge of machine learning frameworks and libraries.
  </li>
  <li>
   Expertise in data preprocessing, feature engineering, and model selection.
  </li>
  <li>
   Familiarity with large language models and AI agent design.
  </li>
  <li>
   Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
  </li>
  <li>
   Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
  </li>
  <li>
   Experience with vectorized databases and unstructured search engines is a plus.
  </li>
  <li>
   A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
  </li>
  <li>
   Publications or contributions to open-source projects are a plus.
   <br/>
   <br/>
  </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 <br/>
 <br/>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 <br/>
 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Information Technology
</div>


Data Scientist / Senior Machine Learning Engineer

Caterpillar

<div><p><b>Career Area:</b></p>
Technology, Digital and Data<p></p><p><b>
Job Description:</b></p><p></p><p><b>
Your Work Shapes the World at Caterpillar Inc.
</b></p><p></p><p>When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.</p><p></p><p>
Caterpillar uses analytics to identify and create opportunities for the workforce to deliver on our business priorities. Some typical opportunities include identifying markets and segments with key skills and talent to execute on businesses priorities, modeling scenarios and risks to our current and future talent, evaluate the effectiveness of operations and strategic initiatives, and recommend key areas to influence outcomes with data and insights. Our global team will provide analytical thought leadership for COEs, Segments, and Functional solutions and initiatives.</p><p></p><p>
The principal responsibility of Workforce Insights Specialist is to provide a unique combination of statistical expertise, critical thinking, business acumen, inquisitiveness and creativity to deliver workforce solutions and insights across the enterprise. In addition, they will continue to elevate thinking amongst the analytics team, COPs, and all its partners to grow the analytical capabilities across all HR.</p><p></p><p>
Some challenges of this role include working with Segments and COEs that may have conflicting priorities; shifting paradigms and thinking regarding data and analytics; balancing the need for precision vs minimally viable solutions; scaling the significant demand for data and analytics to focus on value added activities.</p><p></p><p>
The Workforce Insights Specialist will elevate the rest of the team by establishing sound analytic approaches addressing business challenges across the enterprise. The role reports into a Global Analytics Lead that is responsible for helping build a data driven culture and create analytical solutions that improve decision making and reveal new opportunities. They must demonstrate good communication skills to explain conclusions to customers and leaders across all levels of the organization.</p><p></p><p><b>
What You Will Do:
</b></p><ul><li>Possess knowledge of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to various situations.</li><li>
Oversee the acquisition and consumption of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data for use in analyzing business activities, detecting patterns, and communicating trends.</li><li>
Demonstrate an ability to utilize various methods and techniques, including AI, to frame opportunities and conduct analyses that result in productive decisions.</li><li>
Develop predictive data models, quantitative analyses, and implement semantic data capabilities utilizing machine learning techniques.</li><li>
Lead data exploration and analytics projects and provide on-going coaching regarding visualizations, data mining, and analytic techniques.</li><li>
Demonstrate an ability to tell a story with data and create compelling ways to use data to drive actions.</li></ul><p></p><p><b>
What You Have:
</b></p><ul><li><b>Business Statistics:</b> Knowledge of statistical methods, analytical techniques, and data interpretation practices used to identify business needs, uncover opportunities, detect trends, and support data-driven decision-making through analysis.</li><li><b>
Accuracy and Attention to Detail:</b> Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.</li><li><b>
Analytical Thinking:</b> Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.</li><li><b>
Machine Learning &amp; Artificial Intelligence: </b>Understanding of machine learning and artificial intelligence technologies and their application in data analysis; ability to use AI-driven approaches to interpret data, recognize patterns, and support evidence-based decision-making.</li><li><b>
Programming Languages:</b> Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.</li></ul><p></p><p><b>
Considerations For Top Candidates:</b></p><ul><li>
Bachelor&rsquo;s degree, preferably in statistics, economics, mathematics, or a similar field,</li><li>
Experience working with Snowflake and AWS highly preferred</li><li>
Knowledge of programming languages with R preferred followed by Python</li><li>
Experience working with BI tools such as Power BI and Tableau.</li><li>
Strong consultative skills, initiative, and the ability to communicate and tell compelling stories with data.</li><li>
Ability to utilize AI responsibly to streamline and enhance analytics approaches to solve workforce challenges.</li></ul><p></p><p><b>
Additional Info</b>:</p><ul><li>
This position may require 10% travel.</li><li>
This position would ideally sit in Dallas, TX; with additional locations that include Nashville TN and Peoria IL</li><li>
This position requires in-office work schedule 5 days a week.</li></ul><ul><li>
Relocation assistance is offered for this position.</li><li>
Sponsorship will not be offered.</li></ul><p>
</p><p><b>Summary Pay Range:</b></p><p></p>
$97,530.00 - $158,480.00<p></p><p>
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
</p><p></p><p><b>Benefits:</b></p><p>
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.</p><ul><li><p>
Medical, dental, and vision benefits*</p></li><li><p>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</p></li><li><p>
401(k) savings plans*</p></li><li><p>
Health Savings Account (HSA)*</p></li><li><p>
Flexible Spending Accounts (FSAs)*</p></li><li><p>
Health Lifestyle Programs*</p></li><li><p>
Employee Assistance Program*</p></li><li><p>
Voluntary Benefits and Employee Discounts*</p></li><li><p>
Career Development*</p></li><li><p>
Incentive bonus*</p></li><li><p>
Disability benefits</p></li><li><p>
Life Insurance</p></li><li><p>
Parental leave</p></li><li><p>
Adoption benefits</p></li><li><p>
Tuition Reimbursement</p></li></ul><p>
</p><ul><li>These benefits also apply to part-time employees</li></ul><p></p>
This position requires working onsite five days a week.<p>
</p>Relocation is available for this position.<p></p>
Visa Sponsorship is not available for this position.<p></p><p><b>
Posting Dates:</b></p>
July 10, 2026 - July 19, 2026<p></p><p>
Any offer of employment is conditioned upon the successful completion of a drug screen.</p><p></p><p>
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.</p><p></p><p>
Not ready to apply? Join our Talent Community.</p></div>

Workforce Insights Specialist - Data Science

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description: AI / ML Engineer</b></h1><p><b>
Job Title:</b> AI / ML Engineer<br>
<b>Experience:</b> 3&ndash;11 Years<br>
<b>Location:</b> <b>Riyadh (Onsite)</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are seeking a skilled <b>AI / ML Engineer</b> with <b>3&ndash;11 years of experience</b> to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Cloud AI Platforms</b></h3><ul><li>
Hands-on experience with <b>GCP Vertex AI or Azure Machine Learning or AWS SageMaker</b>.</li><li>
Experience with <b>Azure OpenAI or AWS Bedrock</b> for Generative AI solutions.</li><li>
Experience with <b>BigQuery ML and Dataflow</b> for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader"><b>
Programming &amp; Machine Learning</b></h3><ul><li>
Strong proficiency in <b>Python</b>.</li><li>
Experience developing machine learning solutions using <b>TensorFlow or PyTorch</b>.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader"><b>
Generative AI &amp; LLM Frameworks</b></h3><ul><li>
Experience with <b>Hugging Face and LangChain</b> for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Analytics</b></h3><ul><li>
Experience with <b>Databricks</b> for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader"><b>
MLOps &amp; Deployment</b></h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li><b>
3&ndash;11 years</b> of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
Cloud AI:</b> <b>GCP Vertex AI or Azure Machine Learning or AWS SageMaker</b></li><li><b>
Generative AI:</b> <b>Azure OpenAI or AWS Bedrock</b> <b>and</b> Large Language Models (LLMs)</li><li><b>
Data Processing:</b> <b>BigQuery ML and Dataflow</b> <b>and</b> Databricks</li><li><b>
Programming:</b> Python</li><li><b>
Machine Learning Frameworks:</b> <b>TensorFlow or PyTorch</b></li><li><b>
LLM Frameworks:</b> <b>Hugging Face or LangChain</b></li><li><b>
MLOps:</b> Docker <b>and</b> Kubernetes <b>and</b> CI/CD (Preferred)</li></ul><p>
</p><p>kmeseaCmpf</p></div>

AI / ML Engineer

Datamatics Technologies

<div>
 Job Description: AI / ML Engineer
 <p>
  <strong>
   Job Title:
  </strong>
  AI / ML Engineer
  <br/>
  <strong>
   Experience:
  </strong>
  3&ndash;11 Years
  <br/>
  <strong>
   Location:
  </strong>
  &nbsp;
  <u>
   <strong>
    Riyadh (Onsite)
    <br/>
   </strong>
  </u>
  <strong>
   Employment Type:
  </strong>
  Full-Time
 </p>
 Job Overview
 <p>
  We are seeking a skilled
  <strong>
   AI / ML Engineer
  </strong>
  with
  <strong>
   3&ndash;11 years of experience
  </strong>
  to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.
 </p>
 Key Responsibilities
 <ul>
  <li>
   Design, develop, train, and deploy machine learning and deep learning models for enterprise applications
  </li>
  <li>
   Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment
  </li>
  <li>
   Develop Generative AI and LLM-powered applications using modern AI frameworks
  </li>
  <li>
   Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions
  </li>
  <li>
   Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security
  </li>
  <li>
   Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation
  </li>
  <li>
   Implement MLOps best practices including model versioning, monitoring, and CI/CD automation
  </li>
  <li>
   Stay current with advancements in AI, machine learning, and cloud AI services
  </li>
 </ul>
 Required Technical SkillsCloud AI Platforms
 <ul>
  <li>
   Hands-on experience with
   <strong>
    GCP Vertex AI or Azure Machine Learning or AWS SageMaker
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    Azure OpenAI or AWS Bedrock
   </strong>
   for Generative AI solutions
  </li>
  <li>
   Experience with
   <strong>
    BigQuery ML and Dataflow
   </strong>
   for data processing and machine learning workflows
  </li>
 </ul>
 Programming &amp; Machine Learning
 <ul>
  <li>
   Strong proficiency in
   <strong>
    Python
   </strong>
  </li>
  <li>
   Experience developing machine learning solutions using
   <strong>
    TensorFlow or PyTorch
   </strong>
  </li>
  <li>
   Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts
  </li>
 </ul>
 Generative AI &amp; LLM Frameworks
 <ul>
  <li>
   Experience with
   <strong>
    Hugging Face and LangChain
   </strong>
   for building LLM-powered applications
  </li>
  <li>
   Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred
  </li>
 </ul>
 Data Engineering &amp; Analytics
 <ul>
  <li>
   Experience with
   <strong>
    Databricks
   </strong>
   for data engineering, model development, and analytics workflows
  </li>
  <li>
   Strong understanding of data preprocessing, feature engineering, and large-scale data processing
  </li>
 </ul>
 MLOps &amp; Deployment
 <ul>
  <li>
   Experience deploying machine learning models into production
  </li>
  <li>
   Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage
  </li>
 </ul>
 Qualifications
 <ul>
  <li>
   Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
  </li>
  <li>
   <strong>
    3&ndash;11 years
   </strong>
   of professional experience in AI, Machine Learning, or Data Science
  </li>
  <li>
   Strong analytical, mathematical, and problem-solving skills
  </li>
  <li>
   Experience working in Agile development environments
  </li>
  <li>
   Excellent communication and collaboration skills
  </li>
 </ul>
 Preferred Skills
 <ul>
  <li>
   Experience with Large Language Models (LLMs) and Generative AI applications
  </li>
  <li>
   Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents
  </li>
  <li>
   Experience with distributed model training and cloud-native AI architectures
  </li>
  <li>
   Cloud certifications in AWS, Azure, or Google Cloud are a plus
  </li>
 </ul>
 Key Technology Stack
 <ul>
  <li>
   <strong>
    Cloud AI:
   </strong>
   <strong>
    GCP Vertex AI or Azure Machine Learning or AWS SageMaker
   </strong>
  </li>
  <li>
   <strong>
    Generative AI:
   </strong>
   <strong>
    Azure OpenAI or AWS Bedrock
   </strong>
   <strong>
    and
   </strong>
   Large Language Models (LLMs)
  </li>
  <li>
   <strong>
    Data Processing:
   </strong>
   <strong>
    BigQuery ML and Dataflow
   </strong>
   <strong>
    and
   </strong>
   Databricks
  </li>
  <li>
   <strong>
    Programming:
   </strong>
   Python
  </li>
  <li>
   <strong>
    Machine Learning Frameworks:
   </strong>
   <strong>
    TensorFlow or PyTorch
   </strong>
  </li>
  <li>
   <strong>
    LLM Frameworks:
   </strong>
   <strong>
    Hugging Face or LangChain
   </strong>
  </li>
  <li>
   <strong>
    MLOps:
   </strong>
   Docker
   <strong>
    and
   </strong>
   Kubernetes
   <strong>
    and
   </strong>
   CI/CD (Preferred)
  </li>
 </ul>
</div>


Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3823
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models. This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross-functional teams to deliver data-driven solutions.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Key Responsibilities:
<br>
Data Engineering:
<br>
<ul><li>Design, build, and maintain scalable data pipelines and ETL processes.
</li><li>Work with large datasets and data lakehouses, including Databricks and Azure Fabric.
</li><li>Ensure data quality, integrity, and security across all data pipelines.
</li><li>Optimize data storage and retrieval processes for performance and efficiency.
</li></ul>Machine Learning Engineering:
<br>
<ul><li>Develop, implement, and optimize machine learning models and algorithms.
</li><li>Perform data analysis and model tuning to improve accuracy and performance.
</li><li>Deploy machine learning models into production environments.
</li><li>Monitor and maintain the performance of deployed models.
</li></ul>Collaboration:
<br>
<ul><li>Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
</li><li>Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.
</li></ul>Continuous Learning:
<br>
<ul><li>Stay up-to-date with the latest advancements in data engineering and machine learning.
</li><li>Participate in training and development opportunities to enhance skills and knowledge.<br>
</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><ul><li>5-10 years of experience in data engineering and machine learning.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data lakehouses, particularly Databricks and Azure Fabric.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul></div></div></div></div></div></div></div></div><p></p>

Data Engineer

<div><h1 class="jobSectionHeader"><b>Job Description: AI Tools &amp; Enablement Specialist</b></h1><p><b>
Job Title:</b> AI Tools &amp; Enablement Specialist<br>
<b>Experience:</b> 3&ndash;11+ Years<br>
<b>Location:</b> <b>Riyadh - Onsite</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are seeking an experienced <b>AI Tools &amp; Enablement Specialist</b> with <b>3&ndash;11+ years of experience</b> to drive the adoption, enablement, and operationalization of AI tools across business and technology teams. The ideal candidate will have hands-on experience with enterprise AI platforms, productivity AI tools, low-code automation platforms, data science environments, and API-based AI integrations. This role focuses on enabling teams to effectively leverage AI capabilities, build AI-powered solutions, and accelerate business transformation initiatives.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Enable enterprise adoption of AI tools and platforms across business functions.</li><li>
Evaluate, configure, and implement AI solutions aligned with organizational needs.</li><li>
Support AI experimentation, prototyping, and rapid solution development.</li><li>
Develop AI-enabled workflows, automation solutions, and productivity enhancements.</li><li>
Create enablement materials, best practices, and usage guidelines for AI platforms.</li><li>
Collaborate with business stakeholders, data teams, and engineering teams to identify AI opportunities.</li><li>
Configure and support enterprise AI assistants, AI copilots, and generative AI solutions.</li><li>
Integrate AI capabilities with enterprise applications using APIs and automation frameworks.</li><li>
Support governance, security, and responsible AI adoption practices.</li><li>
Monitor AI tool usage, adoption metrics, and business impact.</li><li>
Provide training and guidance to users on effective AI utilization.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
AI &amp; Data Science Platforms</b></h3><ul><li>
Hands-on experience with <b>Dataiku or Databricks or Vertex AI Workbench</b> for AI experimentation, analytics, and machine learning workflows.</li><li>
Experience supporting AI/ML development environments and collaborative data science platforms.</li></ul><h3 class="jobSectionHeader"><b>
Generative AI &amp; AI Assistants</b></h3><ul><li>
Experience with <b>Claude or ChatGPT Enterprise or Gemini</b> for enterprise AI enablement and productivity use cases.</li><li>
Understanding of prompt engineering, AI assistants, and Generative AI adoption practices.</li><li>
Experience evaluating AI capabilities for business workflows.</li></ul><h3 class="jobSectionHeader"><b>
Low-Code &amp; Automation Platforms</b></h3><ul><li>
Experience with <b>Microsoft Power Platform or Appian</b> for workflow automation, application development, and business process enablement.</li><li>
Ability to design AI-powered automation solutions using low-code platforms.</li></ul><h3 class="jobSectionHeader"><b>
AI Integration &amp; APIs</b></h3><ul><li>
Experience integrating AI services using <b>APIs</b>.</li><li>
Understanding of REST APIs, authentication methods, and connecting AI capabilities with enterprise applications.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related field.</li><li><b>
3&ndash;11+ years</b> of experience in AI enablement, automation, analytics, digital transformation, software development, or technology consulting.</li><li>
Strong understanding of AI concepts, Generative AI capabilities, and enterprise AI adoption.</li><li>
Excellent communication, training, and stakeholder management skills.</li><li>
Ability to translate business requirements into AI-driven solutions.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience implementing enterprise AI adoption programs.</li><li>
Knowledge of AI governance, security, and responsible AI practices.</li><li>
Experience working with cloud AI platforms such as AWS, Azure, or Google Cloud.</li><li>
Familiarity with automation workflows, process optimization, and digital transformation initiatives.</li><li>
Experience creating AI training programs and user enablement content.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
AI &amp; Data Platforms:</b> <b>Dataiku or Databricks or Vertex AI Workbench</b></li><li><b>
Generative AI Tools:</b> <b>Claude or ChatGPT Enterprise or Gemini</b></li><li><b>
Automation Platforms:</b> <b>Microsoft Power Platform or Appian</b></li><li><b>
Integration:</b> APIs <b>and</b> REST-based AI service integrations</li><li><b>
AI Enablement:</b> AI Adoption <b>and</b> User Training <b>and</b> AI Workflow Optimization</li><li><b>
Enterprise AI Practices:</b> Responsible AI <b>and</b> Governance <b>and</b> Business Process Transformation</li></ul><p>
</p><p>CdGObnJzLD</p></div>

AI Tools & Enablement Specialist

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