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ai ml engineer

CLOFTECH (PRIVATE) LIMITED

<p><b>AI/ML Engineer</b></p><p>Experience: 2-3+ Years</p><p>Location: Lahore, Pakistan (Hybrid/Remote)</p><p>Type: Full-Time/Part Time</p><p><b>About the Role</b></p><p>We're seeking an AI/ML Engineer to develop and deploy our Named Entity Recognition (NER) service and predictive analytics capabilities. You'll build ML models that automatically infer semantic meaning from data columns, enabling intelligent schema mapping and automated KPI suggestions.</p><p><b>What You'll Do</b></p><ul><li>Develop and fine-tune NER models (BERT-based) for semantic column inference</li><li>Build and deploy ML models on Amazon SageMaker with real-time inference endpoints</li><li>Create training pipelines for continuous model improvement using customer data patterns</li><li>Implement confidence scoring and threshold logic for auto-mapping vs. human review</li><li>Develop predictive analytics models for customer KPIs (sales trends, utilization, forecasting)</li><li>Build LLM-powered chatbot capabilities for natural language data queries</li><li>Optimize model inference latency and implement batching strategies</li><li>Monitor model performance and implement A/B testing for model versions</li></ul><p><b>Requirements</b></p><ul><li>2-3+ years of experience in ML engineering or applied AI</li><li>Strong Python skills with ML frameworks (PyTorch, TensorFlow, or Hugging Face)</li><li>Experience with NLP tasks (NER, text classification, embeddings)</li><li>Hands-on experience deploying models to production (SageMaker, Docker, or similar)</li><li>Understanding of transformer architectures (BERT, GPT)</li><li>Experience with ML experiment tracking (MLflow, Weights &amp; Biases)</li><li>Familiarity with AWS ML services (SageMaker, Comprehend)</li><li>Strong understanding of ML ops practices and model monitoring</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with LLMs and RAG (Retrieval Augmented Generation) architectures</li><li>Knowledge of vector databases (Pinecone, Weaviate, or pgvector)</li><li>Experience building conversational AI / chatbots</li><li>Background in data quality or schema matching problems</li></ul><p>Job Types: Full-time, Part-time</p><p>Pay: Rs250,000.00 - Rs350,000.00 per month</p><p>Expected hours: 20 &ndash; 40 per week</p><p>Experience:</p><ul><li>AI/ML: 2 years (Required)</li></ul><p>Work Location: In person</p>

AI/ML Engineer

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>02/13/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>2-4 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Lahore</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Punjab</b><b>
</b></div></div><div><p>Country</p>
<div><b>Pakistan</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>54000</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>FiveRivers Technologies</b> is looking for an AI/ML Engineer with 2-4 years experience, to work on cutting-edge Artificial Intelligence and Machine Learning solutions. The role will focus on designing and developing efficient and effective systems related to Generative AI, NLP, Computer Vision and Machine Learning, while collaborating with cross-functional teams.</p><p><b><br>
Responsibilities</b></p><br>
<ul><li>
Implementing AI solutions involving Generative AI, Agentic AI, LLMs, VLMs, Computer Vision, NLP, Machine Learning, Time-Series and Data Analytics etc. with a focus on LLM based systems.<br>
</li><li>
Designing system architecture, pipelines, algorithms and ML models for solving the business problems, based on client communication and research.<br>
</li><li>
Collaborating with cross-functional teams to integrate and deploy AI components in solutions.</li></ul><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li>
2-4 years experience working on Machine Learning and Artificial Intelligence related jobs.<br>
</li><li>
BS or MS(preferable) degree in CS, SE, IT, EE, DS, AI or relevant field.<br>
</li><li>
Good Python programming, problem solving and algorithm design skills.<br>
</li><li>
Knowledge and experience in Generative AI, LLMs, Agentic AI and NLP, including LLM frameworks and techniques like LangChain, LangGraph, LlamaIndex, CrewAI, Google ADK, Prompt Engineering, Context Engineering, Advanced RAG, Agents and LLM Fine-tuning.<br>
</li><li>
Knowledge of Machine Learning and Deep Learning theory and implementation, with expertise in using libraries like SciKit-Learn, TensorFlow, PyTorch and Huggingface-transformers etc.<br>
</li><li>
Knowledge and experience in Computer Vision including classical image processing, CNNs, Vision-Transformer and Vision-Language Models.<br>
</li><li>
Experience working on LLMOps, MLOps, AI Engineering, REST APIs, CI/CD, Cloud and LLM Serving &amp; Inference.<br>
</li><li>
Experience working on Data Wrangling, Data Engineering and Vector DBs.<br>
</li><li>
Ability to do problem modeling, system design and creative algorithm design for complex business problems, while maintaining good communication with stakeholders.<br>
</li><li>
Knowledge and experience in Data Analysis, Statistics and Data Visualization.<br>
</li><li>
Familiarity with other AI areas like Time-Series, Recommendation Systems, Speech, Reinforcement Learning and Image Generation.<br>
</li><li>
Staying up to date with the latest AI research, advancements and tools.</li></ul><div></div><div><b><br>
Location:</b> DHA Business Hub, Phase VIII, Lahore</div></div></div></div><p></p>

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>02/16/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>0-1 year</b><b>
</b></div></div><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Lahore</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Punjab</b><b>
</b></div></div><div><p>Country</p>
<div><b>Pakistan</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>54000</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3><br>
<div></div><div><br>
<div><p><b>FiveRivers Technologies</b> is looking for an AI/ML Engineer with 6 months to 1 year experience, to work on cutting-edge Artificial Intelligence and Machine Learning solutions. The role will focus on designing and developing efficient and effective systems related to Generative AI, LLMs, Agentic AI and Machine Learning, while collaborating with cross-functional teams.</p><h4 class="jobSectionHeader"><b><br>
Responsibilities</b></h4><ul><li>
Implementing AI solutions involving Generative AI, Agentic AI, LLMs, Multimodal Models, NLP and Machine Learning. with a focus on Agents and Agentic Workflows.<br>
</li><li>
Designing pipelines, algorithms, agentic workflows and ML models for solving the business problems, based on client communication and research.<br>
</li><li>
Collaborating with cross-functional teams to integrate and deploy AI components in solutions.</li></ul></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li>
0.5-1 year experience working on Machine Learning and Artificial Intelligence related jobs.<br>
</li><li>
BS degree in CS, SE, IT, EE, DS, AI or relevant field.<br>
</li><li>
Good Python programming, problem solving and algorithm design skills.<br>
</li><li>
Knowledge and experience in Generative AI, LLMs, Agentic AI and NLP, including LLM frameworks and techniques like LangChain, LangGraph, LlamaIndex, N8N, CrewAI, Google ADK, Prompt Engineering, Context Engineering, RAG, Agents and LLM Fine-tuning.<br>
</li><li>
Knowledge of Machine Learning and Deep Learning theory and implementation, with expertise in using libraries like SciKit-Learn, TensorFlow, PyTorch and Huggingface-transformers etc.<br>
</li><li>
Experience working on deployment, orchestration and API serving of LLM based and Agentic AI systems.<br>
</li><li>
Experience working on Data Wrangling, Data Engineering and Vector DBs.<br>
</li><li>
Knowledge and experience in Data Analysis, Statistics and Data Visualization.<br>
</li><li>
Staying up to date with the latest AI research, advancements and tools.<br>
</li></ul><div><b>
Office Location:</b> Business Hub, DHA phase VIII, Lahore.</div></div></div></div><p></p>

Associate AI/ML Engineer_01

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>02/13/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>0-1 year</b><b>
</b></div></div><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Lahore</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Punjab</b><b>
</b></div></div><div><p>Country</p>
<div><b>Pakistan</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>54000</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>FiveRivers Technologies</b> is looking for an AI/ML Engineer with 6 months to 1 year experience, to work on cutting-edge Artificial Intelligence and Machine Learning solutions. The role will focus on designing and developing efficient and effective systems related to Generative AI, LLMs, Agentic AI and Machine Learning, while collaborating with cross-functional teams.</p><p><b><br>
Responsibilities</b></p><br>
<ul><li>
Implementing AI solutions involving Generative AI, Agentic AI, LLMs, Multimodal Models, NLP and Machine Learning. with a focus on Agents and Agentic Workflows.<br>
</li><li>
Designing pipelines, algorithms, agentic workflows and ML models for solving the business problems, based on client communication and research.<br>
</li><li>
Collaborating with cross-functional teams to integrate and deploy AI components in solutions.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li>
0.5-1 year experience working on Machine Learning and Artificial Intelligence related jobs.<br>
</li><li>
BS degree in CS, SE, IT, EE, DS, AI or relevant field.<br>
</li><li>
Good Python programming, problem solving and algorithm design skills.<br>
</li><li>
Knowledge and experience in Generative AI, LLMs, Agentic AI and NLP, including LLM frameworks and techniques like LangChain, LangGraph, LlamaIndex, N8N, CrewAI, Google ADK, Prompt Engineering, Context Engineering, RAG, Agents and LLM Fine-tuning.<br>
</li><li>
Knowledge of Machine Learning and Deep Learning theory and implementation, with expertise in using libraries like SciKit-Learn, TensorFlow, PyTorch and Huggingface-transformers etc.<br>
</li><li>
Experience working on deployment, orchestration and API serving of LLM based and Agentic AI systems.<br>
</li><li>
Experience working on Data Wrangling, Data Engineering and Vector DBs.<br>
</li><li>
Knowledge and experience in Data Analysis, Statistics and Data Visualization.<br>
</li><li>
Staying up to date with the latest AI research, advancements and tools.<br>
</li></ul><div><b>
Office Location:</b><b> </b>Business Hub, DHA phase VIII, Lahore.</div></div></div></div><p></p>

Associate AI/ML Engineer

Binary Brix 

<p>Job Title: AI / ML Engineer</p><p><b>Experience:</b> 3&ndash;4 Years<br/><b>Location:</b> Onsite &ndash; Lahore / Hybrid / Remote / Onsite<br/><b>Job Type:</b> Full-Time</p><p>About the Role</p><p>We are seeking a highly motivated <b>AI / ML Engineer</b> to design, build, and deploy scalable machine learning solutions. You will work closely with data engineers, product managers, and software teams to transform business problems into intelligent, data-driven systems.</p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy machine learning models for real-world applications.</li><li>Build end-to-end ML pipelines including data preprocessing, feature engineering, training, and evaluation.</li><li>Implement supervised and unsupervised learning algorithms.</li><li>Optimize model performance and accuracy through experimentation and tuning.</li><li>Work with large structured and unstructured datasets.</li><li>Deploy models using REST APIs and integrate with production systems.</li><li>Monitor model performance and retrain as needed.</li><li>Collaborate with cross-functional teams to translate business requirements into technical solutions.</li><li>Document models, workflows, and experiments.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>3&ndash;4 years of hands-on experience in AI / ML engineering.</li><li>Strong proficiency in <b>Python</b>.</li><li>Experience with ML frameworks: <b>TensorFlow, PyTorch, Scikit-learn</b>.</li><li>Solid understanding of algorithms: regression, classification, clustering, NLP, time-series.</li><li>Experience with data processing tools: <b>Pandas, NumPy, SQL</b>.</li><li>Familiarity with cloud platforms: <b>AWS / GCP / Azure</b>.</li><li>Experience with model deployment (Flask, FastAPI, Docker).</li><li>Knowledge of version control: <b>Git</b>.</li><li>Strong problem-solving and analytical skills.</li></ul><p>Nice to Have (Plus Points)</p><ul><li>Experience with <b>Deep Learning / NLP / Computer Vision</b>.</li><li>Knowledge of <b>MLOps tools</b> (MLflow, Airflow, Kubeflow).</li><li>Experience with <b>Big Data tools</b> (Spark, Hadoop).</li><li>Exposure to real-time ML systems.</li><li>Prior experience in product-based or startup environments.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs250,000.00 per month</p><p>Work Location: In person</p>

AI / ML Engineer

Devsinc

<div>
 Devsinc is hiring a highly skilled
 <strong>
  Senior AI Engineer
 </strong>
 with
 <strong>
  4-6 years of experience
 </strong>
 in designing, building, and deploying
 <strong>
  production-grade AI systems
 </strong>
 . The ideal candidate combines strong
 <strong>
  machine learning fundamentals
 </strong>
 with hands-on expertise in
 <strong>
  Large Language Models (LLMs)
 </strong>
 ,
 <strong>
  RAG architectures
 </strong>
 , and
 <strong>
  scalable ML infrastructure
 </strong>
 .
 <br/>
 <br/>
 This role requires ownership of the
 <strong>
  end-to-end AI lifecycle
 </strong>
 from
 <strong>
  research and experimentation
 </strong>
 to
 <strong>
  deployment, optimization, and monitoring,
 </strong>
 while contributing to
 <strong>
  architectural decisions
 </strong>
 , mentoring engineers, and delivering
 <strong>
  applied intelligence solutions
 </strong>
 that create measurable business impact.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and deploy AI/ML and LLM-based models to solve real-world business problems.
  </li>
  <li>
   Build scalable training, fine-tuning, evaluation, and inference pipelines for production-ready AI systems.
  </li>
  <li>
   Design and implement RAG pipelines, embedding systems, and retrieval-based architectures.
  </li>
  <li>
   Optimize model performance through experimentation, structured evaluation, hyperparameter tuning, and advanced optimization techniques (quantization, batching).
  </li>
  <li>
   Develop APIs, microservices, and real-time inference services to expose AI capabilities in production environments.
  </li>
  <li>
   Implement and manage MLOps workflows including experiment tracking, model versioning, CI/CD integration, monitoring, and lifecycle management.
  </li>
  <li>
   Contribute to system architecture discussions, ensuring scalability, reliability, security, and performance.
  </li>
  <li>
   Deploy AI systems on cloud platforms (AWS, Azure, GCP) with cost and performance optimization considerations.
  </li>
  <li>
   Research emerging AI technologies such as LLMs, multimodal AI, and vector search, and evaluate their practical applicability.
  </li>
  <li>
   Mentor junior engineers and promote best practices in AI engineering and MLOps.
  </li>
  <li>
   Document technical designs, workflows, experiments, and project outcomes for internal knowledge sharing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  </li>
  <li>
   4-6 years of professional experience in AI/ML engineering roles.
  </li>
  <li>
   Strong proficiency in Python with hands-on experience in PyTorch and/or TensorFlow.
  </li>
  <li>
   Solid understanding of machine learning algorithms, neural networks, NLP, computer vision, feature engineering, and model optimization.
  </li>
  <li>
   Hands-on experience with Large Language Models (LLMs), RAG pipelines, embeddings, vector databases, and fine-tuning techniques (LoRA, PEFT) or advanced prompt engineering.
  </li>
  <li>
   Experience deploying AI models in production environments (APIs, microservices, real-time inference systems).
  </li>
  <li>
   Experience implementing MLOps practices using tools such as MLflow, SageMaker, Vertex AI, Weights &amp; Biases, Docker, Kubernetes, and CI/CD pipelines.
  </li>
  <li>
   Hands-on experience with cloud platforms (AWS, Google Cloud) for AI solution deployment.
  </li>
  <li>
   Understanding of distributed systems, GPU acceleration, and scalable ML infrastructure is a plus
  </li>
  <li>
   Leadership &amp; Growth-Oriented: Capable of guiding teams, owning technical direction, and continuously learning and adapting to emerging AI technologies
  </li>
  <li>
   Excellent Communication: Strong verbal and written communication skills, with the ability to effectively engage in client-facing roles and cross-functional collaboration
  </li>
 </ul>
</div>


Senior AI/ML Engineer - AI Systems & Applied Intelligence

<p>Job Title: Full-Stack Engineer (Frontend + Backend + AI/ML)</p><p><b>Experience:</b> 3&ndash;4 Years<br/><b>Location:</b> Onsite &ndash; Lahore / Hybrid / Remote<br/><b>Job Type:</b> Full-Time</p><p>About the Role</p><p>We are looking for a versatile <b>Full-Stack Engineer with AI/ML exposure</b> to build intelligent, scalable web applications. You will work across frontend, backend, and machine learning components to deliver end-to-end AI-powered products.</p><p>Key ResponsibilitiesFrontend</p><ul><li>Develop responsive and interactive UIs using <b>React / Next.js / Vue</b>.</li><li>Convert Figma designs into clean, reusable components.</li><li>Optimize UI for performance, accessibility, and cross-browser compatibility.</li></ul><p>Backend</p><ul><li>Build scalable APIs using <b>Node.js / Python (FastAPI, Django)</b>.</li><li>Design and manage databases: <b>PostgreSQL / MySQL / MongoDB</b>.</li><li>Implement authentication, authorization, and security.</li><li>Integrate third-party services and APIs.</li></ul><p>AI / ML</p><ul><li>Develop and deploy ML models using <b>Python</b>.</li><li>Work with <b>Scikit-learn, TensorFlow, PyTorch</b>.</li><li>Build data pipelines and feature engineering workflows.</li><li>Expose ML models via <b>REST APIs</b> for production use.</li><li>Monitor and improve model performance.</li></ul><p>Required Skills &amp; Qualifications</p><ul><li>3&ndash;4 years of experience as a <b>Full-Stack / Software Engineer</b>.</li><li>Strong skills in <b>JavaScript (ES6+), HTML, CSS</b>.</li><li>Experience with <b>React / Next.js / Vue</b>.</li><li>Backend expertise in <b>Node.js or Python</b>.</li><li>Solid understanding of <b>API design &amp; system architecture</b>.</li><li>Hands-on experience with <b>ML libraries and basic data science concepts</b>.</li><li>Experience with <b>SQL &amp; NoSQL databases</b>.</li><li>Familiarity with <b>Git, Docker, and cloud platforms (AWS/GCP/Azure)</b>.</li></ul><p>Nice to Have (Plus Points)</p><ul><li>Experience with <b>MLOps (MLflow, Airflow, Kubeflow)</b>.</li><li>Knowledge of <b>NLP / Computer Vision / LLMs</b>.</li><li>Experience with <b>CI/CD pipelines</b>.</li><li>Familiarity with <b>Kubernetes</b>.</li><li>Experience working on <b>AI-driven SaaS products</b>.</li></ul><p>What We Offer</p><ul><li>Competitive salary package.</li><li>Opportunity to work on real-world AI products.</li><li>Learning budget and certifications.</li><li>Modern tech stack.</li><li>Career growth into <b>Senior Full-Stack / AI Engineer / Tech Lead</b>.</li></ul><p>*</p><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs250,000.00 per month</p><p>Work Location: In person</p>

Full-Stack Engineer (Frontend + Backend + AI/ML)

Explore 426+ Ai ml engineer in Training Jobs In Lahore this March. Find roles across top companies and apply now to boost your career.

426 ai ml engineer jobs In Training Jobs In Lahore

AI/ML Engineer

AI/ML Engineer

Associate AI/ML Engineer_01

Associate AI/ML Engineer

AI / ML Engineer

Senior AI/ML Engineer - AI Systems & Applied Intelligence

Full-Stack Engineer (Frontend + Backend + AI/ML)