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ai ml engineer

LimeoX LLC

<div>
 
 
 We&rsquo;re Hiring: AI/ML Engineer On-Site (Sargodha)
 
 
 
 
 
 
 We are looking for a&nbsp;
 
 highly skilled and independent AI/ML Engineer
 
 &nbsp;to join our growing team. You&rsquo;ll work on cutting-edge projects involving&nbsp;
 
 Large Language Models (LLMs), custom weightage models, clustering &amp; classification, automation, and AI-powered workflows
 
 .
 
 
 This role offers technical direction and project requirements, but you&rsquo;ll have the freedom to design and implement innovative solutions from scratch. If you enjoy building and experimenting with models, researching new approaches, and turning ideas into production-ready tools, this is the place for you.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Build and fine-tune weightage models and LLMs&nbsp;to solve real-world business problems.
 
 </li>
 <li>
 
 Develop custom prediction models&nbsp;and conduct comparative research to determine the most effective approach.
 
 </li>
 <li>
 
 Perform AI/ML research&nbsp;and translate innovative concepts into production-ready solutions.
 
 </li>
 <li>
 
 Design and implement AI agents and automations, including workflows integrated with Google Sheets/Docs via Apps Script.
 
 </li>
 <li>
 
 Apply clustering and classification techniques&nbsp;to identify patterns, generate insights, and support decision-making.
 
 </li>
 <li>
 
 Develop, optimize, and maintain data pipelines&nbsp;and system integrations for model training and deployment.
 
 </li>
 <li>
 
 Collect, scrape, and preprocess data&nbsp;for machine learning training, evaluation, and analysis.
 
 </li>
 <li>
 
 Deploy, monitor, and continuously retrain models&nbsp;to ensure optimal performance over time.
 
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 1-2 years of experience as an&nbsp;
 
 AI/ML Engineer
 
 &nbsp;or similar role.
 </li>
 <li>
 Strong Python skills with hands-on experience in&nbsp;
 
 ML frameworks
 
 &nbsp;(TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Experience with&nbsp;
 
 Weightage-based algorithms
 
 &nbsp;and&nbsp;
 
 LLM fine-tuning
 
 .
 </li>
 <li>
 Solid understanding of&nbsp;
 
 clustering
 
 &nbsp;and&nbsp;
 
 classification
 
 &nbsp;techniques.
 </li>
 <li>
 Proficiency in&nbsp;
 
 automation via Google Apps Script
 
 .
 </li>
 <li>
 Knowledge of&nbsp;
 
 web scraping
 
 &nbsp;tools (e.g., Selenium, Playwright).
 </li>
 <li>
 Experience with databases (PostgreSQL, MySQL, MongoDB).
 </li>
 <li>
 Familiarity with&nbsp;
 
 asynchronous programming
 
 &nbsp;and multi-threading.
 </li>
 <li>
 Strong research skills and ability to work independently.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Degree in&nbsp;
 
 Computer Science, AI, Data Science, or a related field
 
 .
 </li>
 <li>
 Experience with&nbsp;
 
 cloud AI platforms
 
 &nbsp;(AWS SageMaker, Google Vertex AI, Azure ML).
 </li>
 <li>
 Contributions to&nbsp;
 
 open-source AI projects
 
 .
 </li>
 <li>
 Knowledge of&nbsp;
 
 MLOps practices
 
 .
 </li>
 </ul>
 
 
 
 
 
 Salary &amp; Perks
 
 
 <ul>
 <li>
 
 Starting salary:
 
 &nbsp;100,000 &ndash; 150,000 PKR (depending on skills &amp; experience).
 </li>
 <li>
 
 Accommodation
 
 </li>
 <li>
 
 Travel Allowance
 
 </li>
 <li>
 
 Provident Fund
 
 </li>
 </ul>
 
 
 
 
 
 Ready to innovate with AI?
 
 &nbsp;Apply now and help shape the future of intelligent automation at LimeoX.
 
 
 
 
 
 
 Note: This is an on-site position. Please apply only if you can relocate to the job location and are not seeking remote work options.
 
 
</div>

AI/ML Engineer

Expert System Solution

About the RoleWe are seeking a Senior AI/ML Engineer with strong technical expertise and exceptional communication skills. The ideal candidate must be a closer, someone who can take ownership, deliver results, and confidently drive AI/ML solutions from concept to deployment.Key Responsibilities<ul><li>Design, develop, and deploy end-to-end AI/ML models and data pipelines.</li><li>Build predictive models, NLP solutions, and deep learning architectures.</li><li>Collaborate with cross-functional teams to understand business needs and deliver practical AI solutions.</li><li>Optimize model performance, scalability, and accuracy.</li><li>Conduct research on latest AI trends and implement relevant advancements.</li><li>Present findings, models, and results clearly to technical and non-technical stakeholders.</li><li>Lead critical problem-solving discussions and ensure timely closure of tasks.</li></ul>Requirements<ul><li>4+ years of hands-on experience in Machine Learning, AI model development, and data engineering.</li><li>Strong expertise in Python, TensorFlow/PyTorch, Scikit-Learn, NLP, Deep Learning, and Cloud (AWS/GCP/Azure).</li><li>Solid understanding of data structures, algorithms, statistical modeling, and MLOps frameworks.</li><li>Proven experience in building production-grade AI solutions.</li><li>Exceptional communication skills (must be able to explain complex ideas with clarity).</li><li>A results-driven mindset, must be a closer who takes ownership and delivers.</li></ul>Nice to Have<ul><li>Experience with LLMs, Generative AI, and model fine-tuning.</li><li>Experience in API integrations and microservices.</li><li>Exposure to data visualization tools and dashboards.</li></ul>Job Type: Full-timeWork Location: In person

NESL-IT (SMC PVT) LTD

Location: Onsite &mdash; Islamabad (I-10/3) Employment Type: Full-time (6 pm to 2 am) We are seeking a skilled and highly motivated AI/ML Engineer with 4+ years of hands-on experience in designing, developing, deploying, and optimizing machine learning models and AI-driven solutions. The ideal candidate will have a strong background in ML algorithms, deep learning frameworks, data engineering, and model deployment in production environments.Key Responsibilities<ul><li>Design, develop, and deploy machine learning and deep learning models for real-world applications.</li><li>Build scalable data pipelines, preprocess datasets, and perform feature engineering.</li><li>Develop, fine-tune, and evaluate models using frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>Work closely with data engineers, software engineers, and product teams to translate business needs into ML solutions.</li><li>Deploy and monitor models using MLOps tools (Docker, Kubernetes, MLflow, AWS/GCP/Azure services).</li><li>Conduct research on new algorithms, technologies, and tools to enhance model accuracy and performance.</li><li>Build REST APIs or microservices to integrate models into production systems.</li><li>Analyze model performance, optimize pipelines, and troubleshoot issues in production.</li><li>Create thorough technical documentation and communicate findings effectively.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Software Engineering, or related field.</li><li>4+ years of experience in Machine Learning, Artificial Intelligence, or Data Science.</li><li>Strong understanding of ML concepts: supervised/unsupervised learning, NLP, computer vision, time-series, etc.</li><li>Hands-on experience with Python, including NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.</li><li>Experience with MLOps, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).</li><li>Solid understanding of data preprocessing, model evaluation, tuning, and validation techniques.</li><li>Strong problem-solving skills and the ability to work independently in a fast-paced environment.</li><li>Experience with large language models (LLMs) and prompt engineering is a plus.</li><li>Knowledge of big data tools (Spark, Hadoop) is a plus.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthExperience:<ul><li>B2B Sales: 5 years (Required)</li></ul>Work Location: In person

Architecture In Motion

<div>Senior AI/ML Engineer (Remote) Pakistan Only

Role Summary

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.

This is a fully remote position for candidates based in Pakistan, working with our Canadian team on cutting edge AI products.

Key Responsibilities

AI/ML Development and Productionization
<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>
Cloud Infrastructure and Operations
<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>
MLOps and CI/CD
<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>
Cross Platform Integration
<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>
Collaboration and Documentation
<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>
Required Skills and Experience

Python and ML Engineering (Primary)
<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>
Cloud Operations (Azure preferred, AWS/GCP Transferable)
<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>
GenAI and LLM Integration
<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>
Preferred Qualifications
<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>
Azure .NET SDK Proficiency

Our AI services integrate with an existing .NET API layer. You will need to work with both Python and C# codebases.

Required .NET Skills
<ul>
<li>Dependency Injection: Register and consume services using Microsoft.Extensions.DependencyInjection (same pattern as FastAPI/Flask dependency injection)</li>
<li>Azure SDKs: Use Azure.AI.OpenAI, Azure.Search.Documents, Azure.Storage.Blobs, and related packages (identical patterns to Python Azure SDKs)</li>
<li>Polly: Configure retry policies and resilience patterns for HTTP calls</li>
<li>LINQ: Write query expressions for data manipulation (similar to Python list comprehensions)</li>
<li>Standard Libraries: Use System.Text.Json, HttpClient, and common .NET packages for API development</li>
</ul>
What is NOT Required
<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

Hazen Technologies Inc.

<div>Position: Junior AI/ML Engineer
Work Conditions: Full-time | Onsite l 02:00 PM to11:00 PM PKT
Job Location: Gulberg III, Lahore, Pakistan
Reporting to: Head of Engineering
Company Overview:
Hazen Technologies is a leading technology company with operations in the USA and Pakistan, specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions across diverse industries. In addition, the company provides specialized BPO and custom software development services to reputable clients in the United States.
Our team consists of highly skilled and innovative professionals dedicated to pushing the boundaries of what's possible with AI and Machine Learning.
Position Overview:
We are looking for a motivated and talented Junior AI/ML Engineer to join our dynamic team and contribute to developing and delivering cutting-edge solutions for our clients. You will work closely with our senior engineers to design, develop, and implement AI and ML solutions for our clients. This is a full-time, permanent position with competitive salary and benefits.
Key Responsibilities:<ul><li>
Collaborate with senior engineers to design and develop AI and ML solutions</li><li>
Write and maintain code for AI and ML algorithms</li><li>
Perform data analysis and cleaning to prepare data for model training</li><li>
Train and test models using various machine learning techniques</li><li>
Optimize models for performance and scalability</li><li>
Communicate project progress and results to team members and clients</li><li>
Stay up to date with the latest developments in AI and ML technologies</li></ul>
Key Requirements:<ul><li>
Fresh or experienced candidate having proficiency in Python</li><li>
Strong understanding of AI and ML concepts and algorithms</li><li>
Familiarity with Azure-based AI technologies will be considered a strong advantage.</li><li>
Proficiency in OOP and databases concepts</li><li>
Strong problem-solving skills and the ability to work in a fast-paced environment</li><li>
Good English communication and teamwork skills</li><li>
Ability and passionate to learn quickly</li><li>
Bachelors' / Masters' degree preferably in AI/ML/Data Science or Computer Science, Engineering, or a related field</li></ul>
Why Hazen Technologies:<ul><li>
Opportunity to work on cutting-edge projects in the exciting field of AI and ML</li><li>
Collaborative and innovative work environment</li><li>
Attractive salary and fringe benefits</li><li>
Career growth and development opportunities</li><li>
Supportive and inclusive company culture</li></ul>
If you are passionate about AI and ML and want to be a part of a dynamic and forward-thinking team, then Hazen Technologies is the place for you. Apply now and join us in shaping the future of technology.</div>

Junior AI/ML Engineer

Hazen Technologies Inc

<div>
 
 Position:
 
 Junior AI/ML Engineer
 
 
 
 
 Work Conditions:
 
 
 Full-time | Onsite l 02:00 PM to11:00 PM PKT
 
 
 
 
 Job Location:
 
 
 Gulberg III, Lahore, Pakistan
 
 
 
 Reporting to:
 
 Head of Engineering
 
 
 
 
 
 Company Overview:
 
 
 
 
 
 
 
 Hazen Technologies
 
 
 is a leading technology company with operations in the USA and Pakistan, specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions across diverse industries. In addition, the company provides specialized BPO and custom software development services to reputable clients in the United States.
 
 
 
 Our team
 
 consists of highly skilled and innovative professionals dedicated to pushing the boundaries of what's possible with AI and Machine Learning.
 
 
 
 Position Overview:
 
 
 
 We are looking for a motivated and talented Junior AI/ML Engineer to join our dynamic team and contribute to developing and delivering cutting-edge solutions for our clients. You will work closely with our senior engineers to design, develop, and implement AI and ML solutions for our clients. This is a full-time, permanent position with competitive salary and benefits.
 
 
 
 
 Key Responsibilities
 
 :
 
 
 
 <ul>
 <li>
 Collaborate with senior engineers to design and develop AI and ML solutions
 </li>
 <li>
 Write and maintain code for AI and ML algorithms
 </li>
 <li>
 Perform data analysis and cleaning to prepare data for model training
 </li>
 <li>
 Train and test models using various machine learning techniques
 </li>
 <li>
 Optimize models for performance and scalability
 </li>
 <li>
 Communicate project progress and results to team members and clients
 </li>
 <li>
 Stay up to date with the latest developments in AI and ML technologies
 
 
 
 </li>
 </ul>
 
 
 Key Requirements:
 
 
 
 
 <ul>
 <li>
 Fresh or experienced candidate having proficiency in Python
 </li>
 <li>
 Strong understanding of AI and ML concepts and algorithms
 </li>
 <li>
 Familiarity with Azure-based AI technologies will be considered a strong advantage.
 </li>
 <li>
 Proficiency in OOP and databases concepts
 </li>
 <li>
 Strong problem-solving skills and the ability to work in a fast-paced environment
 </li>
 <li>
 Good English communication and teamwork skills
 </li>
 <li>
 Ability and passionate to learn quickly
 </li>
 <li>
 Bachelors' / Masters' degree preferably in AI/ML/Data Science or Computer Science, Engineering, or a related field
 
 
 
 </li>
 </ul>
 
 Why Hazen Technologies:
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge projects in the exciting field of AI and ML
 </li>
 <li>
 Collaborative and innovative work environment
 </li>
 <li>
 Attractive salary and fringe benefits
 </li>
 <li>
 Career growth and development opportunities
 </li>
 <li>
 Supportive and inclusive company culture
 
 
 
 </li>
 </ul>
 If you are passionate about AI and ML and want to be a part of a dynamic and forward-thinking team, then Hazen Technologies is the place for you. Apply now and join us in shaping the future of technology.
</div>

Value Engineering

Position: AI/ML EngineerLocation: On-siteEmployment Type: Full-timeAbout the RoleWe are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data engineering, with the ability to design, build, and deploy AI solutions that solve complex real-world problems. You will collaborate closely with software engineers, data scientists, and product managers to integrate AI models into production systems and continuously improve their performance.Key Responsibilities<ul><li>Model Development &amp; Research</li><li>Design, train, and fine-tune machine learning and deep learning models for tasks such as classification, regression, NLP, computer vision, and generative AI.</li><li>Research and evaluate emerging AI/ML frameworks, architectures, and techniques to keep our systems cutting-edge.</li><li>Data Engineering</li><li>Collect, preprocess, clean, and transform structured and unstructured datasets (text, images, audio, PDFs, etc.).</li><li>Implement feature engineering, dimensionality reduction, and data augmentation techniques.</li><li>Deployment &amp; Scaling</li><li>Package and deploy models into production environments (e.g., using FastAPI, Flask, TensorFlow Serving, TorchServe, or Kubernetes).</li><li>Ensure scalability, performance, and security of deployed AI solutions.</li><li>MLOps &amp; Automation</li><li>Implement CI/CD pipelines for ML workflows (training, testing, deployment).</li><li>Use tools like MLflow, DVC, Airflow, or Kubeflow to manage experiments, track models, and orchestrate workflows.</li><li>Collaboration</li><li>Work with cross-functional teams to understand requirements and deliver AI-driven solutions.</li><li>Document designs, processes, and results for both technical and non-technical stakeholders.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field. (PhD is a plus.)</li><li>Solid programming skills in Python (experience with libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.</li><li>Proficiency in handling large datasets, SQL/NoSQL databases, and data pipelines.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).</li><li>Knowledge of version control (Git) and collaboration tools (Bitbucket, GitHub, GitLab).</li></ul>Preferred Skills<ul><li>Experience in NLP (transformers, LLM fine-tuning), Computer Vision, or Generative AI.</li><li>Familiarity with vector databases (Pinecone, Weaviate, pgvector, Chroma) for RAG pipelines.</li><li>Understanding of MLOps best practices (CI/CD for ML, model monitoring, drift detection).</li><li>Strong mathematical foundation (linear algebra, probability, optimization).</li><li>Prior experience in deploying end-to-end AI applications in real-world scenarios.</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical mindset.</li><li>Ability to work independently and in a collaborative environment.</li><li>Excellent communication skills to explain complex AI/ML concepts to non-technical teams.</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you comfortable commuting to bahria phase 4 Rawalpindi on daily basis?</li></ul>Work Location: In person

Lead AI/ML Engineer

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