ai engineer

civil engineer

maintenance engineer

mechanical engineer

project engineer

ml engineer

Liquid Technologies

Liquid Technologies (LiqTeq) is an end-to-end Design and Development Agency. We offervarious services in DevOps, Data services and AI to multiple businesses and organizations and those that are in the startup phase. We're a team of creators, thinkers, explorers and judo trainees. We approach work and play with curiosity and experimentation, using what we learn to create meaningful digital products that connect with people.We are looking to add a ML Engineer to join our Karachi office.Key Responsibilities:<ul><li>Deploy, monitor, and manage machine learning models in production environments.</li><li>Develop and maintain scalable ML pipelines for training and inference.</li><li>Automate model retraining and deployment using CI/CD workflows.</li><li>Optimize cloud and on-prem infrastructure for ML workloads.</li><li>Implement monitoring, logging, and alerting for model performance and drift detection.</li><li>Ensure reproducibility, version control, and governance for ML models.</li><li>Collaborate with data scientists to optimize model deployment strategies.</li><li>Work with Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure) for model hosting.</li><li>Manage feature stores, model registries, and data pipelines.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with ML pipeline orchestration tools like Kubeflow, Airflow, or MLflow.</li><li>Strong knowledge of DevOps &amp; CI/CD practices for ML (Git, Jenkins, Docker, Kubernetes).</li><li>Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).</li><li>Experience in model monitoring, logging, and automated retraining.</li><li>Understanding of data engineering, feature stores, and ETL pipelines.</li><li>Strong problem-solving and collaboration skills.</li><li>Previous experience in applying machine learning to service sector domains, such as retail, hospitality, transportation, or similar, is a plus.</li><li>Knowledge of cloud platforms (e.g AWS, Azure, GCP) and their machine learning services are advantageous.</li><li>Excellent communication skills to convey technical concepts to diverse audiences effectively.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Have you completed the following level of education: Bachelor's Degree?</li><li>What's your Current Salary?</li><li>What's your Expected Salary?</li><li>If selected, how soon can you join us?</li><li>Are you comfortable to commute to Zamzama?</li><li>Have you deployed machine learning models to a production environment using Docker and/or Kubernetes? </li><li>How many years of hands-on experience do you have working with machine learning pipelines (training, deployment, monitoring)?</li><li>Have you used any cloud ML services (e.g., AWS SageMaker, GCP Vertex AI, Azure ML) in a real project? </li></ul>Work Location: In person

ML Engineer

ALBI

<div>We are a fast-growing SaaS company on a mission to propel the restoration industry forward by empowering restoration companies with the technology they need to scale and grow their businesses.
Recently voted a Top 10 Start-up in Chicago by LinkedIn and a Top Start-up by Built In, and backed by Y Combinator, this is an exciting time to join our team as we enter a stage of rapid growth and product expansion.
We&rsquo;re looking for an AI / ML Engineer to help us build production-grade AI systems that power real operational workflows across our platform. This role is hands-on and highly impactful &mdash; you&rsquo;ll work on NLP, LLM-powered features, AI-driven automations, and scalable machine learning systems that are actively used by customers.
You&rsquo;ll collaborate closely with product, engineering, and leadership, owning AI features end-to-end &mdash; from data and models to APIs and production deployment &mdash; while helping shape the future of AI at Albi.
Requirements
Key Responsibilities:<ul>
<li>
Design, build, and deploy applied AI and ML features used in production environments</li>
<li>Develop NLP and LLM-based systems (classification, extraction, summarization, QA, RAG)</li>
<li>Build and maintain AI-driven workflows and automations integrated with core product logic</li>
<li>Design and implement backend services and APIs to support AI inference and data processing</li>
<li>Work with embeddings, vector search, and retrieval-augmented generation (RAG) pipelines</li>
<li>Train, fine-tune, and optimize domain-specific machine learning models</li>
<li>Improve model performance across accuracy, latency, reliability, and cost</li>
<li>Deploy and monitor ML systems in cloud environments</li>
<li>Collaborate closely with product managers and engineers to deliver impactful AI features</li>
<li>Participate in architectural decisions, code reviews, and technical planning</li>
<li>Contribute to testing, monitoring, and continuous improvement of AI systems in production</li>
</ul>
Requirements:<ul>
<li>
3+ years of professional experience in AI / ML or software engineering roles</li>
<li>Strong proficiency in Python</li>
<li>Hands-on experience with machine learning, NLP, or LLM-based systems</li>
<li>Experience deploying ML models or AI services into production</li>
<li>Experience building and integrating RESTful APIs</li>
<li>Familiarity with cloud platforms (Azure, AWS, or GCP)</li>
<li>Understanding of CI/CD pipelines and production reliability</li>
<li>Strong problem-solving skills and a product-oriented mindset</li>
<li>Excellent collaboration and communication skills</li>
</ul>
Benefits
We&rsquo;re driven by purpose, fueled by high energy, and backed by venture funding. We&rsquo;re unapologetically ambitious and make sure that everyone has the support they need to succeed.
We offer a competitive and comprehensive benefits package, including:<ul>
<li>
Competitive salary (based on experience and location)</li>
<li>Generous PTO</li>
<li>Medical, dental, and vision insurance coverage</li>
<li>401(k) plan</li>
<li>High ownership and autonomy over your work</li>
<li>Collaboration with a team of smart, kind, and motivated engineers</li>
<li>An environment where your ideas are valued and growth is prioritized</li>
<li>Regular team events and company off-sites</li>
<li>Equipment budget to help you do your best work</li>
<li>Ongoing learning, mentoring, and career development opportunities</li>
</ul>
Your journey is your own &mdash; and we&rsquo;re here to help you thrive, no matter your starting point.</div>

AI / ML Engineer (Applied AI & Automations)

Quanrio LLP

Location: Karachi, Pakistan Experience Required: Minimum 1.5 yearsJob Description: We are seeking a passionate and skilled AI Engineer to join our team in Karachi. The ideal candidate will have at least 1.5 years of hands‑on experience in deploying and fine‑tuning open‑source Sovereign Large Language Models (LLMs). You will be responsible for building, optimizing, and scaling AI solutions, ensuring secure and efficient deployment of LLMs, and collaborating with cross‑functional teams to integrate advanced AI capabilities into our products.Key Responsibilities<ul><li>Deploy, configure, and manage open‑source Sovereign LLMs in production environments.</li><li>Fine‑tune LLMs for domain‑specific tasks such as text generation, summarization, and Q&amp;A.</li><li>Collaborate with data scientists and backend engineers to integrate AI models into applications.</li><li>Optimize model performance, latency, and scalability.</li><li>Ensure compliance with data privacy and security standards in AI deployments.</li><li>Conduct experiments, evaluate models, and document results for continuous improvement.</li><li>Stay updated with the latest advancements in AI/ML and open‑source LLM ecosystems.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Minimum 1.5 years of professional experience in AI/ML engineering.</li><li>Hands‑on experience with open‑source LLM frameworks such as Hugging Face Transformers, LangChain, RAG pipelines, or similar.</li><li>Strong proficiency in Python and ML libraries (PyTorch, TensorFlow).</li><li>Experience with fine‑tuning techniques (LoRA, PEFT, parameter‑efficient training).</li><li>Familiarity with vector databases (Pinecone, Weaviate, FAISS) for retrieval‑augmented generation.</li><li>Knowledge of cloud platforms (AWS, Azure, GCP) and containerization tools like Docker/Kubernetes.</li><li>Understanding of MLOps practices, CI/CD pipelines, and model monitoring.</li><li>Strong problem‑solving skills and ability to work in collaborative teams.</li></ul>Job type: Full timeJob Type: Full-timePay: Rs150,000.00 - Rs180,000.00 per monthWork Location: In person

AI Engineer

Utopia Fulfillment

Senior AI Engineer &ndash; E-commerce DivisionLocation: On-site Company: Utopia Deals Experience: 3&ndash;5 Years Job Type: Full-timeAbout Utopia DealsUtopia Deals is a fast-growing e-commerce company focused on delivering exceptional value and customer experiences through data-driven innovation. We leverage advanced technology and AI to optimize pricing, personalization, supply chain efficiency, and customer engagement across our platforms.Role OverviewWe are seeking a Senior AI Engineer with 3&ndash;5 years of hands-on experience to join our E-commerce Division. In this role, you will design, build, and deploy AI/ML solutions that directly impact business performance, customer experience, and operational efficiency.Key Responsibilities<ul><li>Design, develop, and deploy machine learning and AI models for e-commerce use cases such as recommendations, demand forecasting, pricing optimization, fraud detection, and customer segmentation</li><li>Work closely with product managers, data engineers, and business stakeholders to translate business needs into scalable AI solutions</li><li>Build and maintain end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment</li><li>Optimize model performance, scalability, and reliability in production environments</li><li>Analyze large datasets to extract insights and drive data-informed decisions</li><li>Stay updated with the latest AI/ML trends and recommend innovative solutions for business growth</li></ul>Required Qualifications<ul><li>3&ndash;5 years of professional experience as an AI Engineer, Machine Learning Engineer, or similar role</li><li>Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn</li><li>Solid understanding of machine learning algorithms, deep learning, and statistical modeling</li><li>Experience working with large datasets, SQL/NoSQL databases, and data pipelines</li><li>Hands-on experience deploying ML models in production environments (cloud or on-premise)</li><li>Strong problem-solving skills and ability to work in a fast-paced environment</li></ul>Preferred Qualifications<ul><li>Experience in e-commerce, retail, or marketplace platforms</li><li>Knowledge of recommendation systems, NLP, or time-series forecasting</li><li>Experience with cloud platforms such as AWS, GCP, or Azure</li><li>Familiarity with MLOps tools and practices (CI/CD, model monitoring, versioning)</li></ul>What We Offer<ul><li>Competitive salary and performance-based incentives</li><li>Opportunity to work on real-world, high-impact AI problems</li><li>Collaborative and innovative work culture</li><li>Career growth and learning opportunities</li></ul>Share your resumes at ahmed.mazhar@utopiadeals.com with position title in Subjectline.Job Type: Full-timeWork Location: In person

Senior AI Engineer

Darosoft

Job SummaryWe are looking for a hands-on AI Engineer with at least 2 years of professional experience in building AI agents and automated AI-driven workflows. The ideal candidate should have strong experience working with LLMs, AI agent frameworks, and n8n workflow automation, and be capable of integrating intelligent systems into real-world business applications.Key Responsibilities<ul><li>Design, develop, and deploy AI agents capable of task execution, decision-making, and tool usage</li><li>Build and maintain n8n workflows for AI-driven automation</li><li>Integrate AI agents with:</li><li>Internal systems (ERP, CRM, databases)</li><li>Third-party APIs and services</li><li>Develop LLM-powered solutions such as chatbots, assistants, and process automation tools</li><li>Implement prompt engineering, agent memory, and multi-step reasoning flows</li><li>Build and consume REST APIs for AI integrations</li><li>Monitor, debug, and optimize AI agents and automation workflows</li><li>Ensure reliability, scalability, and performance of AI systems</li><li>Document AI workflows, agent logic, and integrations</li></ul>Required Skills &amp; QualificationsExperience<ul><li>Minimum 2 years of professional experience as an AI Engineer / ML Engineer / Automation Engineer</li></ul>Core Technical Skills<ul><li>Strong proficiency in Python</li><li>Experience with NumPy, Pandas, Scikit-learn</li><li>Solid understanding of data handling, statistics, and ML fundamentals</li></ul>AI, LLMs &amp; Agents<ul><li>Hands-on experience building AI agents</li><li>Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)</li><li>Strong prompt engineering skills</li><li>Experience with RAG (Retrieval-Augmented Generation) pipelines</li><li>Familiarity with agent frameworks such as:</li><li>LangChain</li><li>LlamaIndex</li><li>or similar tools</li></ul>Automation &amp; Workflows<ul><li>Proven experience working with n8n workflow automation</li><li>Experience building:</li><li>Event-driven workflows</li><li>Webhook-based automations</li><li>Scheduled (cron) workflows</li><li>Ability to orchestrate workflows involving LLMs + APIs + databases</li></ul>APIs &amp; Backend<ul><li>Experience building and consuming REST APIs</li><li>Familiarity with FastAPI or Flask</li><li>Experience integrating AI systems with databases (SQL / NoSQL)</li></ul>Nice to Have (Plus Points)<ul><li>Experience with self-hosted n8n deployments</li><li>Knowledge of vector databases (FAISS, Pinecone, Weaviate, etc.)</li><li>Experience with Docker and basic cloud deployments</li><li>Familiarity with MLOps concepts</li><li>Experience with Zapier / Make.com in addition to n8n</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical skills</li><li>Ability to explain AI concepts to non-technical stakeholders</li><li>Good communication and teamwork skills</li><li>Self-driven and eager to learn new technologies</li></ul>Job Type: Full-timePay: Rs55,000.00 - Rs75,000.00 per monthWork Location: In person

Artificial Intelligence Engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: AI Data Scientist (Offshore)</h2>
Duration: 6 Months (Extendable) 
Experience: 6&ndash;8 Years 
Location: Offshore (Remote) 
Industry: Multi-Industry (with focus on Financial Sector) 
Employment Type: Contract (6 Months - Higher possiblity for extension)<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools &mdash; leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.
This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.</li><li>
Work closely with business stakeholders&mdash;especially in the financial sector&mdash;to translate complex problems into AI-driven solutions.</li><li>
Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</li><li>
Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.</li><li>
Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.</li><li>
Visualize insights and performance metrics using Looker and other BI tools.</li><li>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</li><li>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in data science, AI/ML, and analytics roles.</li><li>
Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.</li><li>
Hands-on experience with GCP ecosystem, including:<ul><li>
BigQuery (data querying and transformation)</li><li>
Vertex AI (model training, tuning, deployment)</li><li>
Dataflow / Dataproc (data processing pipelines)</li><li>
Pub/Sub (event-driven data streaming)</li><li>
GCS (Google Cloud Storage) and Looker (visualization and reporting)</li></ul></li><li>
Strong knowledge of MLOps automation and continuous deployment best practices.</li><li>
Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).</li><li>
Strong understanding of statistical modeling, feature engineering, and model performance evaluation.</li><li>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications</h3><ul><li>
Experience in multi-cloud or hybrid environments.</li><li>
Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).</li><li>
Exposure to deep learning frameworks (TensorFlow, PyTorch).</li><li>
Experience in time-series forecasting, credit modeling, or financial risk analytics.</li></ul>
i6GpPhb9iD</div>

AI Data Scientist

Datamatics Technologies

<div>
 
 Job Title:
 
 AI Data Scientist (Offshore)
 
 
 
 Duration:
 
 6 Months (Extendable)
 
 
 Experience:
 
 &nbsp;6&ndash;8 Years
 
 
 Location:
 
 Offshore (Remote)
 
 
 Industry:
 
 Multi-Industry (with focus on Financial Sector)
 
 
 Employment Type:
 
 Contract (6 Months - Higher possiblity for extension)
 
 
 
 Job Summary
 
 
 We are seeking a highly skilled
 
 AI Data Scientist
 
 with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the
 
 financial services domain
 
 . The ideal candidate will have strong proficiency in
 
 Python, SQL
 
 , and
 
 Google Cloud Platform (GCP)
 
 tools &mdash; leveraging platforms like
 
 BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker
 
 to deliver scalable and automated AI solutions.
 
 
 This is an exciting
 
 6-month contract role (with potential extension)
 
 focused on developing
 
 descriptive, predictive, and prescriptive models
 
 and deploying them in production using
 
 MLOps best practices
 
 .
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 
 Design and develop
 
 data science and machine learning models
 
 across descriptive, predictive, and prescriptive analytics.
 
 </li>
 <li>
 
 Work closely with business stakeholders&mdash;especially in the
 
 financial sector
 
 &mdash;to translate complex problems into AI-driven solutions.
 
 </li>
 <li>
 
 Develop and automate
 
 end-to-end ML pipelines
 
 on
 
 GCP
 
 using Vertex AI, Dataflow, Pub/Sub, and Dataproc.
 
 </li>
 <li>
 
 Implement
 
 MLOps
 
 frameworks for continuous integration, deployment, and monitoring of machine learning models.
 
 </li>
 <li>
 
 Analyze large datasets using
 
 BigQuery
 
 and other GCP-native tools for data transformation, feature engineering, and model training.
 
 </li>
 <li>
 
 Visualize insights and performance metrics using
 
 Looker
 
 and other BI tools.
 
 </li>
 <li>
 
 Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.
 
 </li>
 <li>
 
 Evaluate model performance and refine algorithms for improved accuracy and business impact.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 
 
 5&ndash;8 years
 
 of professional experience in
 
 data science, AI/ML
 
 , and analytics roles.
 
 </li>
 <li>
 
 Proven expertise in
 
 Python
 
 (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and
 
 SQL
 
 for data analysis and model development.
 
 </li>
 <li>
 
 Hands-on experience with
 
 GCP ecosystem
 
 , including:
 
 <ul>
 <li>
 
 
 BigQuery
 
 (data querying and transformation)
 
 </li>
 <li>
 
 
 Vertex AI
 
 (model training, tuning, deployment)
 
 </li>
 <li>
 
 
 Dataflow / Dataproc
 
 (data processing pipelines)
 
 </li>
 <li>
 
 
 Pub/Sub
 
 (event-driven data streaming)
 
 </li>
 <li>
 
 
 GCS (Google Cloud Storage)
 
 and
 
 Looker
 
 (visualization and reporting)
 
 </li>
 </ul>
 </li>
 <li>
 
 Strong knowledge of
 
 MLOps automation
 
 and continuous deployment best practices.
 
 </li>
 <li>
 
 Experience developing models in
 
 financial services
 
 (risk scoring, fraud detection, customer analytics, forecasting, etc.).
 
 </li>
 <li>
 
 Strong understanding of
 
 statistical modeling
 
 ,
 
 feature engineering
 
 , and
 
 model performance evaluation
 
 .
 
 </li>
 <li>
 
 Excellent problem-solving and communication skills with ability to work in multi-industry environments.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 
 Experience in
 
 multi-cloud
 
 or hybrid environments.
 
 </li>
 <li>
 
 Knowledge of
 
 CI/CD pipelines
 
 for ML (GitHub Actions, Jenkins, or Cloud Build).
 
 </li>
 <li>
 
 Exposure to
 
 deep learning frameworks
 
 (TensorFlow, PyTorch).
 
 </li>
 <li>
 
 Experience in
 
 time-series forecasting
 
 ,
 
 credit modeling
 
 , or
 
 financial risk analytics
 
 .
 
 </li>
 </ul>
</div>

Explore 201+ Ml engineer in Karachi this January. Find roles across top companies and apply now to boost your career.

201 ml engineer jobs IN Karachi

ML Engineer

AI / ML Engineer (Applied AI & Automations)

AI Engineer

Senior AI Engineer

Artificial Intelligence Engineer

AI Data Scientist

AI Data Scientist