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ai ml engineer

Upmotion Tech

<p><b>Job Title:</b> AI ML Engineer</p><p><b>Company:</b> Upmotion Tech<br/><b>Location:</b> Gulberg, Lahore<br/><b>Job Type:</b> Full-time</p><p><b>Role Overview</b></p><p>We are looking for a skilled AI Engineer with strong Python expertise to build and scale AI-powered applications. This role focuses on developing intelligent backend systems, integrating large language models, and designing AI agents that automate tasks and support decision-making. You will work closely with product and engineering teams to turn AI concepts into reliable, production-ready solutions.</p><p><b>Key Responsibilities</b></p><ul><li>Develop and maintain AI-driven applications using Python</li><li>Design, build, and integrate AI agents for task automation and intelligent workflows</li><li>Implement vector-based embedding storage, search, and retrieval systems</li><li>Integrate large language models and AI services into backend architectures</li><li>Optimize AI pipelines for performance, reliability, and scalability</li><li>Collaborate with cross-functional teams to translate requirements into technical solutions</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>Strong proficiency in Python for backend and AI development</li><li>Practical experience working with AI/ML systems and LLM-based applications</li><li>Hands-on experience with vector databases such as ChromaDB, Pinecone, FAISS, or Milvus</li><li>Experience designing, building, and managing AI agents</li><li>Solid understanding of modern AI development tools, workflows, and best practices</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with cloud platforms and scalable backend systems</li><li>Familiarity with RAG pipelines and prompt engineering</li><li>Exposure to production monitoring and optimization of AI systems</li></ul><p><b>What We Offer</b></p><ul><li>Opportunity to work on real-world AI products and platforms</li><li>A collaborative, engineering-focused environment</li><li>Room to grow with emerging AI technologies and tools</li></ul><p>Job Type: Full-time</p><p>Pay: Rs250,000.00 - Rs350,000.00 per month</p><p>Work Location: In person</p>

AI / ML Engineer

Business Solutions & Services (BSS) - USA

<div>
 <strong>
  Role Overview:
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  <br/>
 </strong>
 We are looking for a mid-level AI / Machine Learning Developer to design, develop, and deploy AI/ML solutions across multiple client and in-house projects. The role involves working with structured and unstructured data, building predictive and intelligent models, and collaborating closely with product, data, and engineering teams to translate business problems into scalable AI solutions.
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  Key Responsibilities:
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  AI / ML Development:
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 </strong>
 <ul>
  <li>
   Design, develop, train, and evaluate machine learning models for real-world business use cases
  </li>
  <li>
   Implement supervised and unsupervised learning techniques (classification, regression, clustering, anomaly detection, recommendation and more)
  </li>
  <li>
   Demonstrate strong understanding of statistical and machine learning models, and their practical application using Python libraries such as scikit-learn, stats models, NumPy, and pandas for real-world data analysis and predictive modeling
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  </li>
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  Data Handling &amp; Preparation:
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  <li>
   Work with structured and semi-structured data from databases, APIs, and files
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   Perform data cleaning, preprocessing, feature extraction, and transformation
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  <li>
   Collaborate with data engineers on data pipelines when required
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  </li>
 </ul>
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  Model Deployment &amp; Integration:
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 <ul>
  <li>
   Deploy ML models into production environments (APIs, services, batch jobs)
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  <li>
   Integrate ML models with web applications, backend systems, or enterprise platforms
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  <li>
   Support model monitoring, retraining, and performance tuning
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  </li>
 </ul>
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  Agentic AI systems (Nice to Have)
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 :
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 <ul>
  <li>
   Familiarity with agentic AI frameworks such as LangChain Agents, AutoGen, and CrewAI for orchestrating tool usage, decision-making, and multi-step workflow automation
  </li>
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   Understanding of prompt management, execution controls, logging, and human-in-the-loop validation, including concepts related to agent safety, control, and observability
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  </li>
 </ul>
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  Collaboration &amp; Delivery:
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 <ul>
  <li>
   Work closely with product managers, business analysts, and domain experts
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   Participate in solution design discussions and technical reviews
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   Document models, assumptions, and technical decisions clearly
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  </li>
 </ul>
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  Required Skills &amp; Qualifications:
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  <li>
   Strong programming skills in Python
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   Hands-on experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
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   Experience with Pandas and NumPy
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   Understanding of core ML concepts and evaluation metrics
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   Experience exposing ML models via REST APIs (FastAPI / Flask)
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   Nice to Have:
  </li>
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   Exposure to NLP, computer vision, or time-series modeling
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   Familiarity with cloud platforms (AWS, Azure, GCP)
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   Basic understanding of MLOps practices
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   Experience working in enterprise or consulting environments
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   Experience: 3-5 years Hands-On Industry Experience
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   Education: BS Computer Science or Equivalent
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  Soft Skills:
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  <li>
   Strong analytical and problem-solving skills
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   Good communication and documentation abilities
  </li>
  <li>
   Ability to work across multiple projects
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  </li>
 </ul>
</div>


Architecture In Motion

<div><p>Senior AI/ML Engineer (Remote) Pakistan Only</p>
<p>
Role Summary</p>
<p>
We are seeking a skilled AI/ML Engineer to design, build, and deploy generative AI solutions using Python, Hugging Face, and Azure cloud services (Azure is our stack, but strong AWS/GCP experience is welcome). You will own the full lifecycle of AI/ML model development from prototyping through production, with strong emphasis on operational excellence, cloud troubleshooting, and rapid iteration. This role requires someone who can diagnose production issues quickly, work across Python and .NET ecosystems, and deliver measurable results within tight timelines.</p>
<p>
This is a fully remote position for candidates based in Pakistan, working with our Canadian team on cutting edge AI products.</p>
<p>
Key Responsibilities</p>
<p>
AI/ML Development and Productionization</p>
<ul>
<li>Design and implement preprocessing pipelines, inference services, and evaluation frameworks using Python and Hugging Face transformers</li>
<li>Fine tune, optimize, and deploy large language models and generative AI models to production environments on Azure</li>
<li>Build and maintain retrieval augmented generation (RAG) systems integrating vector databases such as Azure AI Search or CosmosDB with LLM workflows</li>
<li>Develop robust unit and integration tests for ML pipelines ensuring reliability before production deployment</li>
<li>Implement prompt engineering strategies and optimize context management for production LLM applications</li>
</ul>
<p>Cloud Infrastructure and Operations</p>
<ul>
<li>Containerize ML models using Docker and deploy to Azure Container Instances, Azure App Service, or Azure Kubernetes Service</li>
<li>Implement health check endpoints, structured logging, and telemetry instrumentation for all deployed services</li>
<li>Configure and monitor Azure Application Insights dashboards to track model performance, latency, error rates, and resource utilization</li>
<li>Troubleshoot production incidents by analyzing Application Insights logs, distributed traces, and request telemetry to identify root causes and implement fixes</li>
<li>Optimize inference latency and cloud costs through caching strategies, model quantization, and efficient resource allocation</li>
</ul>
<p>MLOps and CI/CD</p>
<ul>
<li>Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions for automated testing, model validation, and deployment</li>
<li>Implement model versioning, A/B testing infrastructure, and rollback procedures for production ML services</li>
<li>Manage containerized deployments and orchestration for scalable inference workloads</li>
</ul>
<p>Cross Platform Integration</p>
<ul>
<li>Work with existing .NET API layer to integrate AI services using Azure SDKs</li>
<li>Collaborate with .NET developers to ensure seamless integration between Python ML services and .NET applications</li>
<li>Follow established patterns for dependency injection and service registration in .NET codebases</li>
</ul>
<p>Collaboration and Documentation</p>
<ul>
<li>Partner with product, engineering, and DevOps teams to align AI initiatives with business objectives</li>
<li>Document architectures, runbooks, and troubleshooting guides to enable team knowledge sharing</li>
<li>Communicate technical concepts clearly to both technical and non-technical stakeholders</li>
</ul>
<p>Required Skills and Experience</p>
<p>
Python and ML Engineering (Primary)</p>
<ul>
<li>3+ years of production Python development with demonstrated ability to write clean, testable, and maintainable code</li>
<li>Hands on experience with Hugging Face transformers including model loading, tokenization, fine tuning, and inference optimization</li>
<li>Ability to implement a data preprocessing pipeline and wrap a Hugging Face model for inference with unit tests</li>
<li>Strong proficiency with PyTorch, scikit learn, pandas, and numpy</li>
<li>Experience building REST APIs using FastAPI or Flask for ML model serving</li>
</ul>
<p>Cloud Operations (Azure preferred, AWS/GCP Transferable)</p>
<ul>
<li>While we build on Azure we value strong conceptual knowledge of cloud operations. Experience with equivalent services in AWS (ECS, CloudWatch, Lambda) or GCP is fully acceptable provided you are willing to cross train.</li>
<li>2+ years deploying and operating workloads on Azure including Container Instances, App Service, or AKS</li>
<li>Demonstrated proficiency in Azure Application Insights including custom metrics, log queries using KQL, distributed tracing, and alert configuration</li>
<li>Ability to containerize a Hugging Face model, deploy it to Azure, expose health and logging endpoints, and demonstrate telemetry in Application Insights</li>
<li>Proven ability to efficiently analyze failing request traces and Application Insights logs to rapidly identify root causes and propose fixes in a production environment.</li>
<li>Experience with Azure DevOps or GitHub Actions for CI/CD pipelines</li>
</ul>
<p>GenAI and LLM Integration</p>
<ul>
<li>Hands on experience integrating Azure OpenAI Service, OpenAI APIs, or open source LLMs into production applications</li>
<li>Practical experience implementing RAG architectures with vector databases and embedding models</li>
<li>Understanding of prompt engineering techniques, context management, token optimization, and LLM output parsing</li>
<li>Understanding of semantic contextual relevance for improving search accuracy and response quality in AI applications</li>
<li>Familiarity with chunking strategies, semantic search, and hybrid retrieval approaches</li>
</ul>
<p>Preferred Qualifications</p>
<ul>
<li>Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks</li>
<li>Familiarity with Semantic Kernel for .NET and Python</li>
<li>Experience with model quantization (ONNX, TensorRT) for inference optimization</li>
<li>Knowledge of evaluation frameworks for LLM applications (RAGAS, custom metrics)</li>
<li>Prior experience working with distributed teams across time zones</li>
</ul>
<p>Azure .NET SDK Proficiency</p>
<p>
Our AI services integrate with an existing .NET API layer. You will need to work with both Python and C# codebases.</p>
<p>
Required .NET Skills</p>
<ul>
<li><b>Dependency Injection: </b>Register and consume services using Microsoft.Extensions.DependencyInjection (same pattern as FastAPI/Flask dependency injection)</li>
<li><b>Azure SDKs: </b>Use Azure.AI.OpenAI, Azure.Search.Documents, Azure.Storage.Blobs, and related packages (identical patterns to Python Azure SDKs)</li>
<li><b>Polly: </b>Configure retry policies and resilience patterns for HTTP calls</li>
<li><b>LINQ: </b>Write query expressions for data manipulation (similar to Python list comprehensions)</li>
<li><b>Standard Libraries: </b>Use System.Text.Json, HttpClient, and common .NET packages for API development</li>
</ul>
<p>What is NOT Required</p>
<ul>
<li>Entity Framework or any ORM patterns</li>
<li>Complex .NET architecture patterns</li>
<li>Prior .NET production experience</li></ul></div>

Senior AI/ML Engineer

SplashBI

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Splash Business Intelligence</b></h3><p>
Data Reporting &amp; Analytics Software</p>
<div><div>http://www.splashbi.com</div>
<div>04067979934</div>
<div>http://careersindia@splashbi.com</div>
</div></div></div><div><p>Job Description</p>
<p>
We are looking for an experienced AI/ML engineer to design and develop machine learning models for an innovative AI-powered consumer application that reviews contracts and assists with taxes. You will work closely with domain experts and software engineers to deliver accurate and user-friendly AI solutions.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop and optimise machine learning models.</li>
<li>Collaborate with domain experts to integrate product-specific knowledge into AI models.</li>
<li>Implement natural language processing (NLP) techniques for document review and extraction.</li>
<li>Ensure scalability, accuracy, and performance of the AI models.</li>
<li>Stay updated on AI advancements and integrate relevant technologies.</li>
</ul>
<p><b>Required Skills:</b></p>
<ul>
<li>Proficiency in Python, Pandas, TensorFlow, PyTorch, and Generative AI.</li>
<li>Experience building AI agents using standard frameworks like Langchain, LangGraph, Pydantic AI, N8N, or Crew AI is required.</li>
<li>Strong background in natural language processing (NLP/NLU)</li>
<li>Experience with large language models (LLMs), prompt engineering, and fine-tuning techniques.</li>
<li>Familiarity with data preprocessing and annotation for unstructured data.</li>
<li>Ability to deploy models in a cloud-based environment (GCP, AWS). Proficiency in Vertex AI is preferred.</li></ul></div></div><p></p>
<br><div></div><ul><div><div><div><h6 class="jobSectionHeader"><b>Career Level</b></h6>
<div><ul><div>Senior</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Experience</b></h6>
<div><ul><div>3-5 Years</div><div>5-6 Years</div></ul></div></div></div></div></ul>

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Splash Business Intelligence</b></h3><p>
Data Reporting &amp; Analytics Software</p>
<div><div>http://www.splashbi.com</div>
<div>04067979934</div>
<div>http://careersindia@splashbi.com</div>
</div></div></div><div><p>Job Description</p>
<p>
We are looking for an experienced AI/ML engineer to design and develop machine learning models for an innovative AI-powered consumer application that reviews contracts and assists with taxes. You will work closely with domain experts and software engineers to deliver accurate and user-friendly AI solutions.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop and optimise machine learning models.</li>
<li>Collaborate with domain experts to integrate product-specific knowledge into AI models.</li>
<li>Implement natural language processing (NLP) techniques for document review and extraction.</li>
<li>Ensure scalability, accuracy, and performance of the AI models.</li>
<li>Stay updated on AI advancements and integrate relevant technologies.</li>
</ul>
<p><b>Required Skills:</b></p>
<ul>
<li>Proficiency in Python, Pandas, TensorFlow, PyTorch, and Generative AI.</li>
<li>Experience building AI agents using standard frameworks like Langchain, LangGraph, Pydantic AI, N8N, or Crew AI is required.</li>
<li>Strong background in natural language processing (NLP/NLU)</li>
<li>Experience with large language models (LLMs), prompt engineering, and fine-tuning techniques.</li>
<li>Familiarity with data preprocessing and annotation for unstructured data.</li>
<li>Ability to deploy models in a cloud-based environment (GCP, AWS). Proficiency in Vertex AI is preferred.</li></ul></div></div><p></p>
<br><div></div><ul><div><div><div><h6 class="jobSectionHeader"><b>Career Level</b></h6>
<div><ul><div>Senior</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Experience</b></h6>
<div><ul><div>5-6 Years</div><div>6-7 Years</div><div>8-9 Years</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader"><b>Qualification</b></h6>
<div><ul><div>Master Degree</div></ul></div></div></div></div></ul>

Sharp Brains Ltd

<p>Role Overview: AI/ML Engineer (Animation Technology)</p><p>As an <b>AI/ML Engineer</b> within our Animation Department your mission is to bridge the gap between complex machine learning research and the creative production pipeline.</p><p>Key Responsibilities</p><ul><li><b>Generative AI Development:</b> Design and deploy GANs, Diffusion models, and Transformers specifically tailored for character animation, background synthesis, and texture generation.</li><li><b>Motion Synthesis &amp; Rigging:</b> Develop ML-driven solutions for automated rigging, muscle simulation, and motion retargeting to create more fluid, lifelike character movements.</li><li><b>Pipeline Integration:</b> Collaborate with Technical Directors (TDs) to integrate AI tools directly into industry-standard software like Maya, Houdini, or Unreal Engine.</li><li><b>Neural Rendering:</b> Explore and implement Neural Radiance Fields (NeRFs) and other AI-driven rendering techniques to optimize lighting and look-development workflows.</li><li><b>Dataset Curation:</b> Build and manage high-quality datasets derived from our internal library of motion capture and hand-keyed animation to train proprietary models.</li></ul><p>Core Requirements</p><ul><li><b>Technical Proficiency:</b> Strong mastery of <b>Python</b>, <b>PyTorch</b>, or <b>TensorFlow</b>. Experience with C++ is a significant plus for high-performance tool integration.</li><li><b>Domain Knowledge:</b> Solid understanding of 3D mathematics (linear algebra, quaternions) and the standard animation pipeline (Modeling $\rightarrow$ Rigging $\rightarrow$ Animation $\rightarrow$ Rendering).</li><li><b>ML Expertise:</b> Proven experience in Computer Vision (CV), Deep Learning, and specifically <b>Generative Modeling</b>.</li></ul><p>Preferred Qualifications</p><ul><li>Experience with <b>OpenUSD</b> (Universal Scene Description).</li><li>Prior work with Real-time engines (Unreal Engine 5 / Unity).</li><li>A portfolio or GitHub showing projects related to style transfer, automated lip-syncing, or pose estimation.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs75,000.00 - Rs85,000.00 per month</p><p>Work Location: In person</p>

AI/ML Engineer (Animation Technology)

HR Ways

<p><b>Client company introduction:</b></p><p>Hiring for a UAE-based SaaS product company recruiting talent locally from Pakistan for a fully remote position.</p><p><b>Role Overview</b></p><p>As an AI Engineer at Global Vertices, you will work across Generative AI and non-generative machine learning systems, embedding intelligence into real products. You must be comfortable combining conventional software engineering discipline with Vibe Coding techniques, while retaining full control over correctness, performance and architecture. You will be expected to own outcomes, not just experiments.</p><p><b>Key Responsibilities</b></p><ul><li>Design and build end-to-end AI-powered products, from data ingestion through model inference to production APIs and applications.</li><li>Develop and deploy Generative AI systems using LLMs for tasks such as reasoning, classification, summarisation, search, RAG and autonomous agents.</li><li>Build and maintain classical ML models including classification, regression, clustering and recommendation systems where appropriate.</li><li>Apply Vibe Coding productively while validating, refactoring and hardening AI-generated code for correctness, security and scalability.</li><li>Architect production-grade AI services including model orchestration, prompt pipelines, evaluation and monitoring.</li><li>Integrate AI systems into backend services and front-end or mobile applications via clean APIs.</li><li>Optimise models and pipelines for performance, cost efficiency and reliability in real-world usage.</li><li>Collaborate with software engineers, product leaders and domain experts to translate business problems into deployable AI solutions.</li><li>Ensure solutions meet best practices around security, scalability, privacy, observability and maintainability.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>Strong proficiency in Python and modern software engineering practices.</li><li>Hands-on experience with Generative AI systems including LLMs, embeddings, prompt engineering and RAG architectures.</li><li>Solid grounding in non-generative machine learning concepts and algorithms.</li><li>Experience building production systems, not just notebooks or experiments.</li><li>Ability to manage and validate AI-generated code ensuring it meets engineering</li><li>standards.</li><li>Experience exposing AI capabilities via REST APIs or microservices.</li><li>Familiarity with data pipelines, model evaluation and deployment workflows.</li><li>Comfortable working independently in a remote, fast-moving environment.</li></ul><p><b>Preferred / Bonus Skills</b></p><ul><li>Experience with agentic AI systems and multi-agent orchestration.</li><li>Exposure to MLOps practices including model versioning, monitoring and CI/CD.</li><li>Experience with vector databases and search systems.</li><li>Familiarity with cloud platforms such as AWS, GCP or similar.</li><li>Background in building AI products in regulated or high-reliability environments.</li></ul><p><b>Other Details:</b></p><ul><li>Experience: 2 - 3 years of Exp</li><li>﻿Work Location: Remote from Pakistan</li><li>Working Days: Monday - Friday</li><li>Timings : Flexible 40 hours per week</li></ul><p><b>﻿﻿﻿About HR Ways:</b></p><p><i>﻿HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. Join our WhatsApp Channel ﻿https://whatsapp.com/channel/0029VamSiLr5fM5fMtAdCS2M﻿ to stay updated or visit www.hrways.co to know more.</i></p><p>Job Type: Full-time</p><p>Work Location: Remote</p>

AI/ML Engineer

Explore 1173+ Ai ml engineer in Pakistan this January. Find roles across top companies and apply now to boost your career.

1173 ai ml engineer jobs IN Pakistan

AI / ML Engineer

AI / ML Engineer

Senior AI/ML Engineer

Senior AI/ML Engineer

Senior AI/ML Engineer

AI/ML Engineer (Animation Technology)

AI/ML Engineer