senior devops engineer

data analyst

data scientist

full stack developer

.net developer

machine learning engineer

Rapid Labs

Senior Full Stack Machine Learning EngineerAbout Rapid LabsRapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.About the RoleWe are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.What You Will DoBuild and Own End to End ML Systems<ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul>Engineer Strong Data and Feature Pipelines<ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul>Ship and Operate Production ML<ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul>Lead Technically and Collaborate Effectively<ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul>What We Are Looking ForMust Have<ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul>Nice to Have<ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Lahore Office, Islamabad Office, or Remote (Flexible)This role offers flexibility in how you work. Candidates may choose to join our Lahore office, work from our Islamabad office, or operate fully remote, depending on what works best for them.Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul>Experience:<ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Work Location: In person

Senior Full Stack Machine Learning Engineer

Code Graphers

Key Responsibilities:<ul><li>Advanced Model Development:</li><li>Design and implement complex models using machine learning and deep learning, particularly focusing on natural language processing (NLP), named entity recognition (NER), and large language models (LLMs) such as BERT.</li><li>Create complex AI agent using Langchain, llamaIndex, auto-gen</li><li>Create Retrival Augmented Generation (RAG) Applications</li><li>Multi-agent workflows and bots</li><li>Deep Learning and Neural Network Expertise</li><li>Apply a deep theoretical understanding of neural networks to develop sophisticated models that are both efficient and scalable.</li><li>Cross-Domain Integration</li><li>Incorporate knowledge of image processing to integrate multi-modal systems that leverage both text and visual data.</li><li>Research, Documentation, and Reporting</li><li>writing</li><li>Conduct ongoing research to stay ahead of new trends and techniques in machine learning, deep learning, and AI.</li><li>Creating custom APIs using frameworks such as FAST-API, Django, Flask</li><li>Have experince deploying ML models into production</li><li>Training LLMs with LoRA and QLoRA</li><li>experience with Quantization</li><li>Containerizing code via docker</li><li>Setting up MLOps pipelines with frameworks such as Data version control (DVC)</li><li>Creating Ci/CD pipelines</li><li>Image segmentation</li><li>Object detection</li><li>facial recognition</li></ul>Qualifications:<ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li><li>Experience:</li><li>4 - 6 years of experience in ML model development, including hands-on experience with NLP, NER, and LLMs.</li><li>Experience with neural network design and implementation.</li><li>Technical Skills:</li><li>Proficiency in Python, with good knowledge of ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Experience in developing and implementing models using BERT, RAG, LangChain, and other advanced ML techniques.</li><li>Familiarity with image processing techniques</li><li>Deep theoretical understanding of how models work, including underlying mathematical principles.</li><li>Document methodologies and innovations thoroughly; prepare detailed reports and presentations for technical and non-technical stakeholders.</li><li>Collaborate with cross-functional teams to ensure models are well-integrated into the company&rsquo;s product ecosystem.</li><li>Optimize neural network architectures and parameters for improved performance across various tasks.</li><li>Utilize techniques like Language Model Chaining and Retriever-Augmented Generation (RAG) to enhance text-based applications.</li></ul>Nice to have :<ul><li>experience with auto scaling</li><li>experience with GANs</li><li>experience with stable diffusion based models</li><li>experience with 3D neural networks</li><li>experience with Meta learning</li><li>worked on Raspberry PI or embedding systems and deployed ML model onto them before</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Did you Lead the Team before ?</li></ul>Experience:<ul><li>Machine Learning: 5 years (Required)</li></ul>Work Location: In person

Senior Machine Learning Engineer (Team Lead)

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>02/16/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>0-1 year
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Lahore
</div></div><div>State/Province
<div>Punjab
</div></div><div>Country
<div>Pakistan
</div></div><div>Zip/Postal Code
<div>54000
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3> 
<div></div><div> 
<div>FiveRivers Technologies 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.<h4 class="jobSectionHeader"> 
Responsibilities</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. 
</li><li>
Designing pipelines, algorithms, agentic workflows and ML models for solving the business problems, based on client communication and research. 
</li><li>
Collaborating with cross-functional teams to integrate and deploy AI components in solutions.</li></ul></div><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
0.5-1 year experience working on Machine Learning and Artificial Intelligence related jobs. 
</li><li>
BS degree in CS, SE, IT, EE, DS, AI or relevant field. 
</li><li>
Good Python programming, problem solving and algorithm design skills. 
</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. 
</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. 
</li><li>
Experience working on deployment, orchestration and API serving of LLM based and Agentic AI systems. 
</li><li>
Experience working on Data Wrangling, Data Engineering and Vector DBs. 
</li><li>
Knowledge and experience in Data Analysis, Statistics and Data Visualization. 
</li><li>
Staying up to date with the latest AI research, advancements and tools. 
</li></ul><div>
Office Location: Business Hub, DHA phase VIII, Lahore.</div></div></div></div>

Associate AI/ML Engineer_01

Motive

<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.
 
 
 
 About The Role
 
 
 
 As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the world&rsquo;s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
 
 
 You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Improve the performance of our models and algorithms already in production
 </li>
 <li>
 Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam
 </li>
 <li>
 Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines
 </li>
 <li>
 Convert state-of-the-art research prototypes into reliably working product features
 </li>
 <li>
 Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features
 </li>
 <li>
 Solve challenging object detection, segmentation, recognition, and geometric computer vision problems.
 </li>
 <li>
 Build automated deployment, validation, and active learning pipelines.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelors degree in computer science, software engineering, data science, artificial intelligence, or related field.
 </li>
 <li>
 Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred)
 </li>
 <li>
 Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches.
 </li>
 <li>
 Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)
 </li>
 <li>
 Strong experience in Python or C++
 </li>
 <li>
 Hands-on experience in building embedded algorithms and applications
 </li>
 <li>
 Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
 </li>
 <li>
 Prior experience with Eigen library and RTOS is a strong plus
 
 
 </li>
 </ul>
 
 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.
 
 
 
 
 Please review our Candidate Privacy Notice here.
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 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.
 
</div>

Computer Vision Engineer

Appsians

Appsians is looking for a passionate and proactive AI Automation Engineer with practical experience to join our AI development team. The ideal candidate should be eager to learn, experiment, and contribute to AI/ML-based projects. You will assist in building intelligent systems, integrating AI tools, and optimizing existing models.Key Responsibilities:<ul><li>Assist in the development, training, testing, and deployment of machine learning and AI models.</li><li>Apply N8N AI Tool in real-world use cases (e.g., NLP, computer vision, predictive analytics, automation).</li><li>Collaborate with senior engineers and data scientists on AI-based solutions.</li><li>Clean, preprocess, and analyze large datasets for modeling purposes.</li><li>Participate in model validation, performance tuning, and error analysis.</li><li>Write clean, maintainable, and well-documented code.</li><li>Work on AI product features, proof of concepts, and demos using N8N AI Tool.</li><li>Stay updated with the latest trends in AI/ML and suggest ways to implement them.</li><li>Support in integrating AI solutions into web/mobile/cloud-based environments.</li><li>Contribute to AI model monitoring, retraining, and feedback loops.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Science, AI, or related field.</li><li>1.5 to 3 years of relevant experience in AI/ML projects.</li><li>Hands-on experience with N8N AI Tool (e.g., model building, automation, workflows).</li><li>Proficiency in Python (preferred), with familiarity in libraries like TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Proficiency in React programming language.</li><li>Understanding of supervised/unsupervised learning, classification, regression, etc.</li><li>Familiarity with REST APIs, Git, and version control.</li><li>Good problem-solving and analytical thinking skills.</li><li>Ability to work in a collaborative team environment.</li><li>Strong communication and documentation skills.</li><li>Exposure to cloud platforms (AWS, GCP, Azure) for deploying AI models.</li><li>Experience with LLMs, prompt engineering, or GenAI tools.</li><li>Knowledge of data pipelines or MLOps concepts.</li><li>Experience in integrating AI with web or mobile applications.</li><li>Excellent English communication is essential.</li></ul>Send your resume to hr@appsians.com with the subject line: AI Automation Engineer ApplicationLocation: Lahore DHA Phase 4Job type: Full Time / onsiteJob Type: Full-timeWork Location: In person

AI Automation Engineer

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and organize structured and unstructured data from diverse sources.
 </li>
 <li>
 Ensure data accuracy, consistency, and readiness for analysis.
 </li>
 <li>
 Perform thorough EDA to understand data distributions, relationships, and anomalies.
 </li>
 <li>
 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
 </li>
 <li>
 Work closely with business teams to identify trends and patterns that guide decisions.
 </li>
 <li>
 Handle missing data, outliers, and normalization techniques effectively.
 </li>
 <li>
 Transform raw data into features suitable for modeling and insights.
 </li>
 <li>
 Automate and optimize data preparation pipelines.
 </li>
 <li>
 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
 </li>
 <li>
 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
 </li>
 <li>
 Analyze and process unstructured text data for business use cases.
 </li>
 <li>
 Translate complex data problems into clear, actionable insights.
 </li>
 <li>
 Proactively identify opportunities for data-driven improvements across departments.
 </li>
 <li>
 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
 <li>
 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
 <li>
 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in a data science role.
 </li>
 <li>
 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
 </li>
 <li>
 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
 <li>
 Strong data visualization and storytelling skills.
 </li>
 <li>
 Excellent problem-solving and critical thinking abilities.
 </li>
 <li>
 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

Data Scientist, Tech

CLOFTECH (PRIVATE) LIMITED

AI/ML EngineerExperience: 2-3+ YearsLocation: Lahore, Pakistan (Hybrid/Remote)Type: Full-Time/Part TimeAbout the RoleWe'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.What You'll Do<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>Requirements<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>Nice to Have<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>Job Types: Full-time, Part-timePay: Rs250,000.00 - Rs350,000.00 per monthExpected hours: 20 &ndash; 40 per weekExperience:<ul><li>AI/ML: 2 years (Required)</li></ul>Work Location: In person

AI/ML Engineer

Explore 164+ Machine learning engineer in Lahore this February. Find roles across top companies and apply now to boost your career.