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senior ai ml engineer

Alpha Group of Companies

<p><b>Company Overview</b></p><p>We build scalable and intelligent systems to tackle complex real-world challenges in manufacturing, healthcare, retail, and e-commerce. Our culture fosters continuous learning, collaboration, and cutting-edge experimentation.</p><p><b>Job Summary</b></p><p>We are looking for a Senior AI/ML Engineer with strong hands-on expertise in developing, deploying, and scaling advanced machine learning and generative AI solutions. This role is designed for someone with deep skills in core AI areas (LLMs, deep learning, data pipelines, and MLOps), while being comfortable exploring adjacent technologies.</p><p>You&rsquo;ll work on end-to-end AI/ML pipelines, from data preparation to production deployment, and lead initiatives that push the boundaries of Generative AI, LLM customization, and AI-first applications. You will also mentor team members and collaborate with cross-functional teams to deliver enterprise-grade AI systems.</p><p><b>Key Responsibilities</b></p><ul><li>Design, train, and deploy ML/DL models for NLP, Computer Vision, or multimodal use cases.</li><li>Work with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Hugging Face, JAX, Diffusers.</li><li>Apply transfer learning, fine-tuning, and optimization techniques for LLMs and generative models.</li><li>Fine-tune and customize LLMs (GPT, LLaMA, Mistral, Grok, etc.) for domain-specific tasks.</li><li>Implement RAG (Retrieval-Augmented Generation), PEFT (LoRA/adapters), quantization, and prompt engineering.</li><li>Build and deploy generative systems for text, images, or speech.</li><li>Develop and maintain ML pipelines with MLflow, Kubeflow, TFX, or ZenML.</li><li>Use Docker, Kubernetes, and CI/CD pipelines to ensure scalable deployments.</li><li>Monitor and manage deployed models (performance, drift, retraining cycles).</li><li>Build robust data pipelines using Apache Airflow, Spark, or Dask.</li><li>Handle large, complex datasets with proper feature engineering and augmentation strategies.</li><li>Deploy and manage ML workloads on AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML, Hugging Face Spaces.</li><li>Ensure fairness, explainability (SHAP, LIME), and compliance with GDPR and AI regulations.</li><li>Mentor junior engineers and contribute to best practices in AI/ML development.</li><li>Collaborate with product managers, data engineers, and developers to deliver impactful AI solutions.</li><li>Stay updated with AI research (arXiv, NeurIPS, ICML) and apply learnings to production solutions.</li></ul><p><b>Required Qualifications &amp; Skills</b></p><ul><li>Strong programming skills in Python (NumPy, Pandas, PyTorch/TensorFlow, Scikit-learn).</li><li>Working familiarity with R, Julia, Scala, or Java is a plus.</li><li>Hands-on experience with Hugging Face, LangChain, LlamaIndex, MLflow, Kubeflow, Airflow.</li><li>Proficiency with at least one major cloud provider (AWS, GCP, Azure) for ML workloads.</li><li>Experience with CI/CD, Docker, Kubernetes, Git for scalable ML deployments.</li><li>Hands-on experience with LLMs, Diffusion Models, and RAG pipelines.</li><li>Strong data engineering skills with Spark/Dask, and managing large-scale datasets.</li><li>Excellent problem-solving, communication, and collaboration skills.</li><li>Proven ability to mentor junior engineers and lead AI/ML initiatives.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience applying AI in Manufacturing, Healthcare, Retail, or E-Commerce.</li><li>Experience with Edge AI and IoT platforms (e.g., NVIDIA Jetson, TPUs).</li><li>Contributions to open-source, patents, or publications in AI/ML.</li><li>Familiarity with AI agent frameworks (LangGraph, CrewAI, Auto-GPT).</li></ul><p><b>Education &amp; Experience</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Data Science, Electrical Engineering, or related fields.</li><li>PhD or research experience is a plus, but not mandatory.</li><li>5&ndash;7+ years of experience in AI/ML roles, with proven impact in production systems or R&amp;D projects.</li></ul><p><b>What We Offer</b></p><ul><li>High-impact projects leveraging Generative AI, LLMs, and MLOps.</li><li>Continuous learning with training budgets, cloud credits, and conference sponsorships.</li><li>Competitive salary and benefits, performance-based bonuses.</li><li>Flexible hybrid/remote work options.</li><li>Collaborative, innovative environment with opportunities for growth.</li></ul><p><b>Equal Opportunity Statement</b></p><p>We value diversity and inclusion, and welcome applications from all backgrounds and experiences.</p><p>Job Type: Full-time</p><p>Pay: Rs450,000.00 - Rs600,000.00 per month</p><p>Work Location: In person</p>

Senior AI/ML Engineer

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>

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>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>

H2o Labs

<p><b>Job Description</b></p><p>H2O Labs is seeking a highly skilled AI/ML &amp; Data Engineer to join our innovative team. The ideal candidate will have strong expertise in Python, AI/ML, data engineering, SQL, Azure cloud services, and Power BI, with experience deploying models into production.</p><p><b>Roles &amp; Responsibilities</b></p><ul><li>General Introduction &amp; Experience</li><li>Introduce yourself and highlight relevant AI/ML and data engineering experience.</li><li>Python &amp; AI/ML (Core Requirement)</li><li>Proficient in Python and ML/AI libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.</li><li>Experience building NLP models using libraries/APIs such as OpenAI, Hugging Face.</li><li>Design, develop, and evaluate ML models; provide examples of recent projects, challenges, and outcomes.</li><li>Experience in fine-tuning and deploying LLMs.</li><li>SQL &amp; Data Engineering</li><li>Write complex SQL queries: DDL, DML, joins, CTEs, window functions.</li><li>Optimize SQL queries for performance improvements.</li><li>Build and maintain ETL pipelines using relevant tools/frameworks.</li><li>Azure Cloud (Mandatory Requirement)</li><li>Hands-on experience with Azure services: Azure Data Lake, Azure ML, Databricks, Functions, etc.</li><li>Deploy ML models on Azure ML; explain the deployment process.</li><li>Familiarity with Azure Data Lake storage formats like Parquet, Delta.</li><li>Power BI</li><li>Create dashboards to deliver actionable insights.</li><li>Comfortable writing DAX measures and creating interactive visuals.</li><li>Architecture &amp; System Thinking</li><li>Design system/data architecture diagrams using Visio, Draw.io, Lucidchart, or similar tools.</li><li>Build end-to-end AI/ML pipelines: from data ingestion to model deployment.</li><li>Production Deployment</li><li>Deploy models from Jupyter Notebook to production using CI/CD pipelines and monitoring tools.</li><li>Monitor and maintain model performance post-deployment.</li><li>Preferred / Bonus Skills</li><li>Experience with R programming language.</li><li>Familiarity with Dynamics 365 CRM.</li><li>Knowledge of AI agent services, Hugging Face, or LLM-based applications.</li><li>Experience in government or enterprise-level projects.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs250,000.00 - Rs500,000.00 per month</p><p>Work Location: In person</p>

Senior AI/ML Engineer (Azure)

Expert System Solution

<p><b>About the Role</b></p><p>We are seeking a <b>Senior AI/ML Engineer</b> with strong technical expertise and <b>exceptional communication skills</b>. The ideal candidate must be a <b>closer, </b>someone who can take ownership, deliver results, and confidently drive AI/ML solutions from concept to deployment.</p><p><b>Key Responsibilities</b></p><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><p><b>Requirements</b></p><ul><li><b>4+ years of hands-on experience</b> 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><b>Exceptional communication skills</b> (must be able to explain complex ideas with clarity).</li><li>A results-driven mindset, <b>must be a closer</b> who takes ownership and delivers.</li></ul><p><b>Nice to Have</b></p><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><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI/ML Engineer

Hazen Technologies Inc.

<div><p><b>Position:</b> Junior AI/ML Engineer</p><p><b>
Work Conditions:</b><b> </b>Full-time | Onsite l 02:00 PM to11:00 PM PKT</p><p><b>
Job Location: </b>Gulberg III, Lahore, Pakistan</p><p><b>
Reporting to: </b>Head of Engineering</p><p><b>
Company Overview:</b></p><p><b>
Hazen Technologies </b>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.</p><p><b>
Our team </b>consists of highly skilled and innovative professionals dedicated to pushing the boundaries of what's possible with AI and Machine Learning.</p><p><b>
Position Overview:</b></p><p>
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.</p><p><b>
Key Responsibilities</b><b>:</b></p><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><p><b>
Key Requirements:</b></p><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><p><b>
Why Hazen Technologies:</b></p><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><p>
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.</p></div>

Junior AI/ML Engineer

Hazen Technologies Inc

<div>
 <strong>
  Position:
 </strong>
 Junior AI/ML Engineer
 <br/>
 <br/>
 <strong>
  <strong>
   Work Conditions:
  </strong>
 </strong>
 Full-time | Onsite l 02:00 PM to11:00 PM PKT
 <br/>
 <br/>
 <strong>
  <strong>
   Job Location:
  </strong>
 </strong>
 Gulberg III, Lahore, Pakistan
 <br/>
 <br/>
 <strong>
  Reporting to:
 </strong>
 Head of Engineering
 <br/>
 <br/>
 <strong>
  <strong>
   <strong>
    Company Overview:
    <br/>
    <br/>
   </strong>
  </strong>
 </strong>
 <strong>
  <strong>
   Hazen Technologies
  </strong>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Our team
 </strong>
 consists of highly skilled and innovative professionals dedicated to pushing the boundaries of what's possible with AI and Machine Learning.
 <br/>
 <br/>
 <strong>
  Position Overview:
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  <strong>
   Key Responsibilities
  </strong>
  :
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Key Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Hazen Technologies:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
  </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>


Explore 2899+ Senior ai ml engineer in Pakistan this December. Find roles across top companies and apply now to boost your career.

2899 senior ai ml engineer jobs IN Pakistan

Senior AI/ML Engineer

Senior AI/ML Engineer

Senior AI/ML Engineer

Senior AI/ML Engineer (Azure)

AI/ML Engineer

Junior AI/ML Engineer

Junior AI/ML Engineer