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

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 Why this role matters at Careem
 
 
 
 Careem exists to simplify and improve the lives of people in our region. AI is a key driver of that mission. Whether it&rsquo;s predicting demand, optimizing captain incentives, improving delivery ETA accuracy, or automating customer care, you&rsquo;ll be helping to build real systems that impact millions of people across the Middle East, North Africa, and Pakistan.
 
 
 This is a hands-on role where you&rsquo;ll ship models into production, experiment fast, and learn alongside a talented team that&rsquo;s driving meaningful change.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build, train, and evaluate machine learning models for key services like ride-hailing, food delivery, and payments
 </li>
 <li>
 Work with real-world data and translate it into features, signals, and insights
 </li>
 <li>
 Collaborate with operations, engineers, product managers, and analysts to tackle challenges like OCR based partner onboarding, dynamic pricing, route optimization, churn prediction, and fraud detection
 </li>
 <li>
 Run experiments, track model performance, and help roll out models into live systems
 </li>
 <li>
 Improve the way we serve and monitor machine learning models
 </li>
 <li>
 Contribute to a strong team culture of learning, iteration, and accountability
 
 
 </li>
 </ul>
 
 Must-haves
 
 
 
 
 What you&rsquo;ll need
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Statistics, or a related technical field
 </li>
 <li>
 Up to 3 years experience working with machine learning in any form: internships, research, personal projects, Kaggle competitions, or a previous job
 </li>
 <li>
 Solid Python skills, especially with libraries like pandas, NumPy, and scikit-learn
 </li>
 <li>
 A strong grasp of ML fundamentals like classification, regression, cross-validation, and evaluation metrics
 </li>
 <li>
 Familiarity with at least one ML framework such as TensorFlow, PyTorch, or XGBoost
 </li>
 <li>
 Clear communication, curiosity, and the ability to work well in a team
 
 
 </li>
 </ul>
 
 Nice-to-haves
 
 
 
 <ul>
 <li>
 Exposure to deep learning techniques in NLP, vision, or recommender systems
 </li>
 <li>
 Experience working with large datasets using Spark, Hive, or cloud tools
 </li>
 <li>
 Familiarity with model deployment and monitoring workflows (Airflow, MLflow, etc.)
 </li>
 <li>
 Interest in solving real operational challenges like logistics, fraud detection, or customer retention
 </li>
 <li>
 A GitHub profile or project portfolio that shows what you&rsquo;ve built
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Get
 
 
 
 <ul>
 <li>
 A chance to work on AI problems at regional scale that improve lives and drive real business outcomes
 </li>
 <li>
 A smart, motivated team that values learning and practical impact
 </li>
 <li>
 Flexibility to work remotely, with strong support for collaboration and ownership
 </li>
 <li>
 A front-row seat to how AI is transforming mobility, delivery, and digital services in emerging markets
 </li>
 </ul>
</div>

Analytics & Automation Manager

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div> 
<h3 class="jobSectionHeader">
About the Role:</h3>

As a Senior Software Engineer on the ML Platform team, you will lead the effort to build systems that enable AI R&amp;D teams to deliver secure, highly scalable, distributed services. You will leverage technology such as Kubeflow, Kubernetes, Helm, Terraform, Python to build inference systems, infrastructure, and training pipelines as well as the distributed systems themselves. You will also provide guidance and mentorship to junior engineers.
<h3 class="jobSectionHeader">
What You'll Do:</h3>
<ul><li>Help define the direction for the team.</li>
<li>Define and prioritize ML Platform initiatives.</li>
<li>Enable teams to build features at scale by providing a foundation of reusable software components and infrastructure.</li>
<li>Become one of the subject matter experts on the team. Create deployment pipelines; take code from git to production.</li>
<li>Build infrastructure that enables fast, robust automated testing and validation.</li>
<li>Improve the performance and reliability of existing systems.</li>
<li>Coach junior engineers.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For:</h3>
<ul><li>5-10 years software development experience</li>
<li>Building ML Ops infrastructure such as training pipelines.</li>
<li>Building services to deliver inference in a scalable manner.</li>
<li>Establishing monitoring best practices and implementing systems to enforce them.</li>
<li>Practicing and advocating for best engineering practices throughout the ML org.</li>
<li>B.S. or M.S. in Computer Science or a related field</li>
<li>Experience improving the ML infrastructure with multiple stakeholders in a large organization.</li>
<li>Experience in Python or similar language.</li>
<li>Working knowledge of AWS services and technologies.</li>
<li>Experience with Kubeflow pipeline development and management.</li>
<li>Nice to have exposure with infrastructure as code and configuration management such as Terraform, CloudFormation.</li></ul></div><div> 
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote</div></div>

Senior Software Engineer - ML Platform

Explore 176+ Ml engineer in Karachi Pakistan this January. Find roles across top companies and apply now to boost your career.