procurement engineer

ai engineer

ai/ml engineer

civil engineer

electrical engineer

ai engineer phd required

Pixalate, Inc.

<div><div>AI Engineer *PhD Required 
Employment Type: Full-Time 
Location: Remote, Pakistan 
 
Transform AI Research into Real-World Impact 
 
As an AI Research Engineer at Pixalate, you'll bridge the gap between fundamental AI research and production systems that protect the digital ecosystem. Working with our Research team (AFAC) that has uncovered more than $100M in ad fraud and national security threats, you'll have the autonomy to pursue groundbreaking research while seeing your innovations deployed at scale within months, not years. 
 
You'll lead research in emerging AI paradigms including autonomous agent systems, test-time compute optimization, and multimodal understanding - all applied to real-world challenges in digital safety and fraud detection. 
 
Key Research Areas &amp; Responsibilities 
 
Agentic AI Systems Development</div><ul><li>
Design and implement multi-agent architectures for autonomous fraud detection and analysis</li><li>
Develop sophisticated agent coordination systems using frameworks like LangChain, AutoGen, or custom architectures</li><li>
Create tool-integrated AI agents capable of complex reasoning and decision-making</li><li>
Research novel approaches to agent safety and alignment in production environments</li></ul><div>
Advanced Reasoning &amp; Test-Time Compute</div><ul><li>
Implement state-of-the-art reasoning systems inspired by recent breakthroughs (o1, DeepSeek-R1)</li><li>
Optimize inference-time compute allocation for complex analytical tasks</li><li>
Develop chain-of-thought and verification mechanisms for high-stakes decision making</li><li>
Research novel approaches to scaling reasoning capabilities efficiently</li></ul><div>
Multimodal AI &amp; Knowledge Systems</div><ul><li>
Build advanced multimodal models for analyzing video, image, text, and behavioral data</li><li>
Develop sophisticated RAG (Retrieval-Augmented Generation) architectures:<ul><li>
Design high-performance vector databases and hybrid search systems</li><li>
Implement advanced chunking strategies and semantic understanding</li><li>
Create context-aware retrieval mechanisms for complex documents</li></ul></li><li>
Research cross-modal learning for fraud pattern detection</li></ul><div> 

Required Qualifications</div> 

PhD in Computer Science, AI, Machine Learning, or related field (or exceptional research track record)<ul><li>
Published research in peer-reviewed venues demonstrating expertise in:<ul><li>
Large Language Models and transformer architectures</li><li>
Agentic AI, autonomous systems, or multi-agent coordination</li><li>
Multimodal learning or computer vision</li><li>
Distributed systems and scalable ML</li></ul></li></ul><div>
Technical Expertise</div><ul><li>
Expert proficiency in Python and deep learning frameworks (PyTorch preferred, TensorFlow)</li><li>
Advanced experience with:<ul><li>
Modern AI frameworks: LangChain, Hugging Face Transformers, Ray</li><li>
Agent development and orchestration</li><li>
RAG systems and vector databases</li><li>
Distributed training frameworks and GPU optimization</li></ul></li><li>
Strong understanding of:<ul><li>
Transformer architectures and attention mechanisms</li><li>
Reinforcement learning and reward modeling</li><li>
Neural architecture search and AutoML</li><li>
MLOps and production ML systems</li></ul></li></ul><div>
Research Skills</div><ul><li>
Track record of novel algorithm development and innovation</li><li>
Experience with large-scale experimentation and ablation studies</li><li>
Proficiency in research tools: Weights &amp; Biases, MLflow, TensorBoard</li><li>
Strong theoretical foundation in optimization, statistics, and linear algebra</li></ul><div> 

Preferred Qualifications 
</div><ul><li>
Experience with fraud detection, cybersecurity, or trust &amp; safety applications</li><li>
Contributions to open-source AI projects</li><li>
Industry research experience at leading AI labs (DeepMind, OpenAI, FAIR, etc.)</li><li>
Experience translating research into production systems</li><li>
Experience with:<ul><li>
Mixture of Experts (MoE) architectures</li><li>
Constitutional AI and alignment techniques</li><li>
Efficient inference optimization (quantization, distillation)</li><li>
Real-time streaming ML systems</li></ul></li></ul>
We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety. 
<div><div>
Benefits 
 
At Pixalate, we offer an extremely competitive salary, outstanding benefits, and a dynamic work environment. You will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about maintaining high software quality and thrive in a fast-paced, challenging environment, you'll fit right in. 
</div><ul><li>
Monthly internet reimbursement</li><li>
Casual, remote work environment</li><li>
Hybrid, flexible hours</li><li>
Opportunity for advancement</li><li>
Fun annual team events</li><li>
Being part of a high performing team that wants to win and have fun doing it</li></ul><div>
About us 
 
Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. 
 
We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide. Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including: 
</div><ul><li>
UNICEF: Pixalate was recently recognized by UNICEF as a Key Innovator for protecting children&rsquo;s online privacy. &amp; UNICEF Global Compliance Tech case study</li><li>
Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says</li><li>
Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV</li><li>
Washington Post: Your kids&rsquo; apps are spying on them</li><li>
Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google&rsquo;s Black Box Ad Empire</li><li>
ABC7 News: The State of Children's Privacy Online</li><li>
NBC News: How many apps are tracking your children</li></ul>
Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.Pixalate is an equal opportunity employer committed to building a diverse team. 
 
We particularly encourage applications from underrepresented groups in AI research. 
</div>
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1067I4tGuT</div>

AI Engineer (PhD Required)

Cube Discipline

Key Responsibilities<ul><li>Lead the design, development, and deployment of AI/ML models and systems.</li><li>Collaborate with data scientists, engineers, and business stakeholders to identify opportunities for AI-driven solutions.</li><li>Architect scalable ML pipelines for training, testing, and deploying models.</li><li>Ensure model accuracy, reliability, and performance in production environments.</li><li>Stay updated with advancements in AI/ML frameworks, tools, and research.</li><li>Mentor and guide junior engineers, promoting best practices in ML engineering.</li><li>Work with cloud platforms (AWS, GCP, Azure) for scalable AI deployments.</li><li>Oversee model monitoring, retraining, and lifecycle management.</li></ul>Requirements<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field (PhD preferred).</li><li>6&ndash;10+ years of proven experience in AI/ML roles.</li><li>Strong expertise in Python, TensorFlow, PyTorch, Scikit-learn, and related frameworks.</li><li>Hands-on experience with NLP, Computer Vision, or Generative AI models.</li><li>Solid understanding of data engineering, feature engineering, and big data tools (Spark, Hadoop, etc.).</li><li>Experience in MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).</li><li>Strong problem-solving, analytical, and leadership skills.</li></ul>Preferred Skills<ul><li>Experience with LLMs (Large Language Models) and transformer-based architectures.</li><li>Knowledge of reinforcement learning or advanced optimization techniques.</li><li>Publications or contributions to AI/ML research communities.</li><li>AI/ML certifications from leading platforms (Google, AWS, etc.).</li></ul>Job Type: Full-timeWork Location: In person

Lead AI/ML Engineer

Inventor Design Studio

AI Engineer Job DescriptionCompany: Inventor Design Studio Location: On-siteAbout UsInventor Design Studio is a leading innovation-driven company specializing in modern technology solutions. We are committed to pushing the boundaries of artificial intelligence and delivering cutting-edge products that solve real-world challenges.Role OverviewWe are seeking an experienced AI Engineer with a minimum of 3 years in the field to join our on-site team. The ideal candidate will design, develop, and deploy advanced AI and machine learning models to drive product innovation and business growth. This role requires hands-on expertise in AI frameworks, software engineering best practices, and seamless collaboration with cross-functional teams.Key Responsibilities<ul><li>Design, build, and optimize AI/ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Develop scalable AI pipelines for data preprocessing, model training, validation, and deployment.</li><li>Collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into products.</li><li>Deploy AI models into production environments ensuring reliability, scalability, and performance.</li><li>Monitor, maintain, and improve deployed AI systems including detecting model drift and retraining as required.</li><li>Implement data collection, cleaning, and feature engineering to ensure quality datasets for training AI models.</li><li>Stay updated with the latest AI/ML research and technologies, recommending relevant innovations for adoption.</li><li>Document AI development processes, models, and best practices to maintain knowledge sharing.</li></ul>Required Skills and Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>Minimum 3 years of professional experience in AI/ML engineering roles.</li><li>Proficiency in Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras.</li><li>Strong understanding of machine learning algorithms, neural networks, and deep learning principles.</li><li>Experience with data preprocessing, feature engineering, and working with large datasets.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) for AI deployment.</li><li>Hands-on experience with CI/CD and MLOps practices for model deployment and lifecycle management.</li><li>Strong problem-solving skills with the ability to translate business challenges into AI solutions.</li><li>Excellent communication skills for cross-functional collaboration and technical documentation.</li></ul>Preferred<ul><li>Experience in natural language processing, computer vision, or specialized AI domains.</li><li>Knowledge of ethical AI practices and data privacy regulations.</li></ul>Work Environment<ul><li>Full-time, on-site position at Inventor Design Studio headquarters.</li><li>Collaborative, innovative, and fast-paced work culture focused on AI excellence.</li></ul>Job Type: Full-timePay: Rs40,000.00 - Rs60,000.00 per monthExperience:<ul><li>AI Engineer: 3 years (Preferred)</li></ul>Work Location: In person

AI Engineer With 3 Years Of Experience

THE ADVANTECH

Full job descriptionBuild production AI applications using Azure&rsquo;s AI and .Net ecosystem for enterprise clients. You&rsquo;ll architect conversational AI, computer vision, and intelligent automation solutions, not just use AI tools to code faster.RESPONSIBILITIES:<ul><li>Design &amp; implement AI-enabled business applications using Azure AI services</li><li>Build conversational AI agents with Copilot Studio and Azure and .Net Bot Framework</li><li>Develop computer vision solutions for manufacturing, construction, healthcare, finance, and retail</li><li>Create intelligent document processing workflows using Azure AI and .Net services</li><li>Lead technical client engagements and translate business needs into AI solutions</li></ul>TECHNICAL REQUIREMENTS: AI Development Experience :<ul><li>Azure AI Foundry (Azure AI Studio) for model deployment</li><li>Azure OpenAI Service integration and fine-tuning</li><li>Copilot Studio for enterprise chatbots</li><li>4 to 6 years of experience is required</li><li>Azure Computer Vision and Document Intelligence</li><li>RAG implementations with Azure AI and .Net Search</li><li>Production AI applications (not prototypes)</li></ul>Technical Stack:<ul><li>Python (AI/ML development) &ndash; Required</li><li>C#/.NET (enterprise integration) &ndash; Preferred</li><li>JavaScript/TypeScript (front-end AI integrations) &ndash; Preferred</li><li>REST APIs and Azure SDK integration &ndash; Required</li><li>Vector databases and semantic search &ndash; Required</li></ul>Ideal Candidate:<ul><li>Built production AI solutions that users interact with daily</li><li>Azure AI ecosystem expert &ndash; knows which service to use when</li><li>Client-facing experience &ndash; can explain AI to business stakeholders</li><li>Business impact focused &ndash; understands AI ROI, not just technical complexity</li></ul>Preferred Additional Requirements:<ul><li>Azure AI Engineer Associate (AI-102) certification</li><li>Experience with Lang-Chain/Semantic Kernel</li><li>Multi-modal AI applications (text, vision, speech)</li></ul>Job Type: Full-timePay: Rs50,000.00 - Rs300,000.00 per monthExperience:<ul><li>AI developer: 4 years (Required)</li></ul>Work Location: In person

Sr. AI Developer for eCommerce Store

Full job descriptionBuild production AI applications using Azure&rsquo;s and .NET framework AI ecosystem for enterprise clients. You&rsquo;ll architect conversational AI, computer vision, and intelligent automation solutions, not just use AI tools to code faster.RESPONSIBILITIES:<ul><li>Design &amp; implement AI-enabled business applications using Azure AI Azure&rsquo;s and .NET framework services</li><li>Build conversational AI agents with Copilot Studio and Azure Azure&rsquo;s and .NET framework Bot Framework</li><li>Develop computer vision solutions for eCommerce and retail</li><li>Create intelligent document processing workflows using Azure AI services</li><li>Lead technical client engagements and translate business needs into AI solutions</li></ul>TECHNICAL REQUIREMENTS: AI Development Experience :<ul><li>Azure AI Foundry (Azure AI Studio) for model deployment</li><li>Azure OpenAI Service integration and fine-tuning</li><li>Copilot Studio for enterprise chatbots</li><li>4 to 6 years of experience is required</li><li>Azure Computer Vision and Document Intelligence</li><li>RAG implementations with Azure AI Search</li><li>Production AI applications (not prototypes)</li></ul>Technical Stack:<ul><li>Python (AI/ML development) &ndash; Required</li><li>C#/.NET (enterprise integration) &ndash; Preferred</li><li>JavaScript/TypeScript (front-end AI integrations) &ndash; Preferred</li><li>REST APIs and Azure SDK integration &ndash; Required</li><li>Vector databases and semantic search &ndash; Required</li></ul>Ideal Candidate:<ul><li>Built production AI solutions that users interact with daily</li><li>Azure AI ecosystem expert &ndash; knows which service to use when</li><li>Client-facing experience &ndash; can explain AI to business stakeholders</li><li>Business impact focused &ndash; understands AI ROI, not just technical complexity</li></ul>Preferred Additional Requirements:<ul><li>Azure AI Engineer Associate (AI-102) certification</li><li>Experience with Lang-Chain/Semantic Kernel</li><li>Multi-modal AI applications (text, vision, speech)</li><li>5 Year service reward</li></ul><ul><li>Why Join Us?</li><li>AI market leadership while competitors pilot</li><li>Direct enterprise impact with production deployments</li><li>Technical growth with latest Azure AI capabilities</li></ul>Job Type: Full-timePay: Rs16,931.00 - Rs350,000.00 per monthExperience:<ul><li>AI Development : 5 years (Required)</li></ul>Language:<ul><li>Fluent English (Required)</li></ul>Work Location: In person

Senior AI Solutions Developer

First National Equities Limited

About FNELFirst National Equities Limited (FNEL) is a public-listed brokerage firm and a TREC holder on the Pakistan Stock Exchange (PSX). We strive to achieve excellence in everything we do and expect the same dedication and professionalism from our employees.Job Title: Computational Engineer &ndash; Finance &amp; Operations ModelingLocation: Lahore, PakistanFNEL is looking for a Computational Engineer to drive advanced modeling, simulations, and optimization for financial, operational, and investment projects. This is a unique opportunity to work at the intersection of engineering, finance, and strategy.Responsibilities<ul><li>Build mathematical and computational models for financial, investment, and operational scenarios.</li><li>Conduct simulations and predictive analyses to guide capital allocation, risk management, and process optimization.</li><li>Collaborate with finance teams to provide quantitative insights for strategic decisions.</li><li>Develop custom tools and scripts to automate calculations, simulations, and reporting.</li><li>Analyze datasets to identify trends, patterns, and performance opportunities.</li></ul>Requirements<ul><li>Bachelor&rsquo;s in Computational Engineering, Computer Science, Applied Math, Data Science, or related field. Master&rsquo;s/PhD is a plus.</li><li>3&ndash;8 years of experience in modeling, simulations, quantitative analysis, or algorithm development. Finance/operations experience preferred.</li><li>Strong programming: Python, C++, MATLAB, R, or similar.</li><li>Knowledge of numerical methods, simulations, optimization algorithms, and data analysis.</li><li>Excellent analytical thinking, problem-solving, and communication skills.</li></ul>Why Join FNEL? Be part of a dynamic company where your financial expertise shapes corporate growth and investment strategy. Competitive salary and growth opportunities for top talent.Job Type: Full-timeWork Location: In person

Computational Engineer

Architecture In Motion

<div>Senior AI Developer (Remote)

Job Summary:

We are looking for an experienced Senior AI Developer to lead the design, development, and deployment of our AI-driven solutions and services. This role involves establishing a robust in-house AI development pipeline and integrating cutting-edge generative AI capabilities into our products. The ideal candidate will have over five years of experience in the AI/ML domain across multiple facets, including natural language processing (NLP), data engineering, model deployment, and MLOps best practices.

As our Senior AI Developer, you will be responsible for building and scaling AI applications that leverage the latest in large language models and cloud technologies. You will work closely with our product, data engineering, and DevOps teams to ensure these AI solutions are robust, scalable, and seamlessly integrated into our platform, while upholding security and quality standards for our startup&rsquo;s rapidly evolving offerings. 


Key Responsibilities: 

<ul>
<li>AI Solution Design &amp; Integration: Lead the design, development, and integration of AI-driven solutions into our products, ensuring these systems are robust, scalable, and deliver meaningful value to users.</li>
</ul><ul><li>Chatbot &amp; Generative AI Applications: Build and integrate intelligent chatbot and generative AI applications using large language models (LLMs) to enhance user engagement and automate customer support tasks.</li>
</ul><ul><li>Prompt Engineering &amp; Workflow Orchestration: Design effective prompt engineering strategies and orchestrate multi-step AI agent workflows (using frameworks like LangChain or LangGraph) to enable LLMs to perform complex tasks and conversations.</li>
</ul><ul><li>Data Pipelines &amp; RAG Integration: Integrate vector databases and implement retrieval-augmented generation (RAG) techniques to provide LLMs with relevant contextual data, working with data engineers to incorporate enterprise data sources (e.g., Snowflake, Databricks) into AI pipelines.</li>
</ul><ul><li>Model Deployment &amp; MLOps: Deploy and manage machine learning models (including LLMs) in production on cloud infrastructure (Azure preferred or AWS), implementing MLOps best practices like CI/CD pipelines, containerization (Docker, Kubernetes), and automated testing to ensure reliable and scalable model deployments.</li>
</ul><ul><li>Performance Monitoring &amp; Optimization: Monitor the performance of AI models and services, recommend and implement optimizations (such as model fine-tuning or caching) to improve latency and accuracy, and troubleshoot any issues in the AI pipeline.</li>
</ul><ul><li>Scalability &amp; Cost Optimization: Design AI systems with scalability and efficiency in mind, and optimize resource utilization and cloud costs for both model training and inference workloads.</li>
</ul><ul><li>Security &amp; Compliance: Ensure AI solutions adhere to data privacy and security standards (e.g., GDPR) and implement appropriate access controls and governance to maintain compliance with organizational policies and ethical AI practices.</li>
</ul><ul><li>Collaboration: Work closely with product management, data engineering, DevOps, and software development teams to ensure AI initiatives align with business goals and integrate seamlessly into existing workflows.</li>
</ul><ul><li>Innovation &amp; Best Practices: Stay up-to-date with the latest advancements in AI and machine learning (new models, frameworks, techniques) and industry best practices. Drive continuous innovation and improvements in our AI solutions and development processes.</li></ul> 


Required Skills &amp; Qualifications: 

<ul>
<li>Experience: Minimum of 5 years of experience in software development, including at least 3 years of hands-on work in AI/ML engineering and deploying models to production environments.</li>
</ul><ul><li>LLM &amp; NLP Expertise: Deep understanding of natural language processing and large language models, with hands-on experience building applications using OpenAI/Gemini APIs or similar LLM platforms.</li>
</ul><ul><li>Vector Databases &amp; RAG: Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and implementing retrieval-augmented generation techniques to provide relevant context to AI models.</li>
</ul><ul><li>Programming Skills: 
Strong expertise in .NET and python development, with hands-on experience using Microsoft Dev Box for cloud-based development environments and building modern web applications with Blazor Wasm. Skilled in integrating systems and services through Azure for streamlined deployment and management. Additionally, proficient in machine learning frameworks like TensorFlow or PyTorch, and familiar with AI tools such as Hugging Face Transformers and LangChain for developing LLM-driven applications.</li>
</ul><ul><li>MLOps &amp; DevOps: Experience with machine learning operations and DevOps practices for AI, including building CI/CD pipelines for model deployment, containerizing ML solutions with Docker/ Kubernetes, and automating model retraining and monitoring.</li>
</ul><ul><li>Cloud AI Platforms: Proven experience deploying AI solutions on cloud platforms, preferably Microsoft Azure (Azure Machine Learning, Cognitive Services, etc.) or AWS, and leveraging cloud infrastructure for scalability and performance.</li>
</ul><ul><li>Data Engineering: Familiarity with data pipeline and warehouse technologies (e.g., Snowflake, Databricks) and experience handling large datasets for model training and inference, working with data engineering teams to ensure data quality and availability.</li>
</ul><ul><li>Problem Solving: Strong analytical and troubleshooting skills for complex AI systems, with a proactive approach to identifying issues, debugging model errors, and ensuring reliability of AI services.</li>
</ul><ul><li>Collaboration &amp; Communication: Excellent communication skills and ability to work effectively in cross-functional teams. Able to articulate complex AI concepts in simple terms to non-technical stakeholders and collaborate on innovative solutions.</li></ul> 


Nice-to-Have Qualifications: 

<ul>
<li>Advanced Degree &amp; Research: Master&rsquo;s or PhD in Artificial Intelligence, Computer Science, or a related field, with any research publications or open-source contributions in the AI/ML domain.</li>
</ul><ul><li>Full-Stack Development: Familiarity with general software development (e.g., building web or mobile applications) and the ability to integrate AI components into front-end or back-end systems (experience with JavaScript/TypeScript frameworks (such as React or Next.js) and backend technologies like Node.js, Go, or Rust is a plus.</li>
</ul><ul><li>Big Data &amp; Distributed Systems: Experience with big data processing and distributed computing frameworks (such as Apache Spark or Hadoop) for handling and processing large-scale datasets in AI projects.</li>
</ul><ul><li>Monitoring &amp; ML Observability: Familiarity with monitoring and logging tools (e.g., Azure Monitor, Prometheus, MLflow) for tracking model performance, data drift, and system health in production AI systems.</li></ul></div>

Senior AI Developer (Remote)

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