senior data scientist

mechanical engineer

ai agent developer

ai research engineer - pre training (100% remote) Jobs in Islamabad

ai research engineer - pre training (100% remote)

ai research engineer - reinforcement learning (100% remote) Jobs in Islamabad

ai research engineer - reinforcement learning (100% remote)

associate machine learning engineer

International Medical Corps

<div>
 
 JOB SUMMARY:
 
 This position will help in discovering the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Must be able to extract features, select features, code, train model, validate and evaluate the models.
 
 
 To perform this job successfully, an individual must be able to perform each essential function with or without reasonable accommodation.
 
 
 
 Main Tasks And Responsibilities
 
 
 
 <ul>
 <li>
 Selecting features, building, and optimizing classifiers using machine learning techniques
 </li>
 <li>
 Data mining or extracting usable data from valuable data sources.
 </li>
 <li>
 Carrying out preprocessing of structured and unstructured data
 </li>
 <li>
 Enhancing data collection procedures to include all relevant information for developing analytic systems.
 </li>
 <li>
 Processing, cleansing, and validating the integrity of data to be used for analysis.
 </li>
 <li>
 Analyzing large amounts of information to find patterns and solutions.
 </li>
 <li>
 Developing prediction systems and machine learning algorithms
 </li>
 <li>
 Propose solutions and strategies to tackle business challenges.
 </li>
 <li>
 Data mining using state-of-the-art methods.
 </li>
 <li>
 Doing ad-hoc analysis and presenting results in a clear manner
 </li>
 <li>
 Creating automated anomaly detection systems and constant tracking of its performance
 
 
 </li>
 </ul>
 Perform other duties as assigned. The duties and responsibilities listed in this document are representative of the nature and level of work assigned and not necessarily all inclusive.
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 1+ years of Python development experience
 </li>
 <li>
 1+ years of SQL experience (No-SQL experience is a plus)
 </li>
 <li>
 Degree in Computer Science, Data Science or relevant field is preferred.
 </li>
 <li>
 Proven Experience as Data Analyst or Data Scientist
 </li>
 <li>
 Must have knowledge of NLP modelling techniques, with a firm grasp of the mechanics of modelling methods.
 </li>
 <li>
 Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
 </li>
 <li>
 Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
 </li>
 <li>
 Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
 </li>
 <li>
 Data Wrangling &ndash; proficiency in handling imperfections in data
 </li>
 <li>
 Excellent Communication Skills
 </li>
 <li>
 Strong Software Engineering Background
 </li>
 <li>
 Hands-on experience with data science tools
 </li>
 <li>
 Problem-solving aptitude
 </li>
 <li>
 Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
 </li>
 <li>
 Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc
 </li>
 <li>
 Excellent problem solving and troubleshooting skills.
 </li>
 <li>
 Excellent oral and written communication skills
 </li>
 </ul>
</div>

Associate Machine Learning Engineer

Sofnix(SMC-Private) Limited

JOB SUMMARYAssociate Engineer Machine Learningwill help in discovering the information hidden in vast amounts of dataand help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Must be able to extract features, select features, code, train model, validate and evaluate the models.MAIN TASKS AND RESPONSIBILITIES&middot; Selecting features, building and optimizing classifiers using machine learning techniques&middot; Data mining or extracting usable data from valuable data sources.&middot; Carrying out preprocessing of structured and unstructured data&middot; Enhancing data collection procedures to include all relevant information for developing analytic systems&middot; Processing, cleansing, and validating the integrity of data to be used for analysis.&middot; Analyzing large amounts of information to find patterns and solutions.&middot; Developing prediction systems and machine learning algorithms&middot; Propose solutions and strategies to tackle business challenges.&middot; Data mining using state-of-the-art methods.&middot; Doing ad-hoc analysis and presenting results in a clear manner&middot; Creating automated anomaly detection systems and constant tracking of its performanceMINIMUM QUALIFICATIONS&middot; 2+ years of Python development experience&middot; 2+ years of SQL experience (No-SQL experience is a plus)&middot; Proven Experience as Data Analyst or Data Scientist&middot; Must have knowledge of NLP modelling techniques, with a firm grasp of the mechanics of modelling methods&middot; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.&middot; Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.&middot; Data Wrangling &ndash; proficiency in handling imperfections in data&middot; Excellent Communication Skills&middot; Strong Software Engineering Background&middot; Hands-on experience with data science tools&middot; Problem-solving aptitude&middot; Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.&middot; Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc&middot; Degree in Computer Science, Data Science or relevant field is preferred.&middot; Excellent problem solving and troubleshooting skills&middot; Excellent oral and written communication skillsJob Type: Full-timeWork Location: In person

Associate Engineer Machine Learning

10Pearls

<div>
 
 Company Overview
 
 
 
 10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named as winner of the Best Tech Work Culture Timmy Award in Washington DC by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and even high-growth start-ups. But those are just the facts. What makes us unique is that we have true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well, while doing good and know how to balance the two.
 
 
 
 Role:
 
 
 
 As a Senior AI and Machine Learning Engineer, you will design, implement, and optimise scalable machine learning models and deployment pipelines using Python and leading ML frameworks. You will work with cross-functional teams to integrate ML algorithms into cloud environments, delivering robust, efficient, and secure AI solutions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and deploy scalable machine learning models using Python.
 </li>
 <li>
 Implement and optimise ML algorithms and deep learning models, applying best practices in model development.
 </li>
 <li>
 Utilise frameworks such as scikit-learn, TensorFlow, and PyTorch for model building and experimentation.
 </li>
 <li>
 Manage the end-to-end ML lifecycle using MLflow, including tracking experiments, packaging code, and model versioning.
 </li>
 <li>
 Collaborate with cloud teams to integrate and deploy models in cloud environments, ensuring robust and efficient operations.
 </li>
 <li>
 Monitor deployed models, troubleshoot issues, and maintain high availability and performance.
 </li>
 <li>
 Work closely with data scientists, software engineers, and stakeholders to deliver impactful AI/ML solutions.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 7+ years of experience in AI/ML engineering, with a strong focus on Python programming.
 </li>
 <li>
 In-depth knowledge of machine learning algorithms and foundational deep learning concepts.
 </li>
 <li>
 Hands-on experience with scikit-learn, TensorFlow or PyTorch, and MLflow.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and basic cloud deployment practices.
 </li>
 <li>
 Proven ability to deploy, monitor, and maintain machine learning models in production environments.
 </li>
 <li>
 Excellent problem-solving skills and effective communication abilities.
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
 CwGh6GVsVG
</div>

Staff/Senior AI/ML Engineer - Python/TensorFlow/PyTorch, MLflow/Cloud

Centrox AI

Company: Centrox AI Job Title: Senior AI/ML Engineer Job Type: Full time (On-site) Location: Gulberg Greens, IslamabadWe are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have strong expertise in deep learning, data science, model optimization, and production-level AI systems. This role involves collaborating with cross-functional teams, leading AI initiatives, mentoring junior engineers, and transforming business challenges into scalable machine learning pipelines. The candidate should be comfortable handling large datasets, building predictive models, integrating algorithms into applications, and ensuring high performance and reliability. Experience with cloud platforms, MLOps, and modern AI frameworks is essential.Key Responsibilities<ul><li>Design, develop, and deploy advanced Machine Learning and Deep Learning models.</li><li>Lead end-to-end AI/ML pipeline development from data preprocessing to model deployment.</li><li>Build and optimize scalable ML architectures for real-time and batch processing.</li><li>Conduct research on emerging AI techniques and integrate best practices.</li><li>Collaborate with data engineers and software developers to integrate models into production systems.</li><li>Evaluate model performance using statistical and analytical techniques.</li><li>Develop APIs and automation scripts for model serving and monitoring.</li><li>Identify business opportunities and recommend innovative AI solutions.</li><li>Mentor junior AI/ML team members and guide them through technical challenges.</li><li>Ensure data quality, security, and compliance in all AI workflows.</li><li>Work with cloud environments (AWS, GCP, Azure) for production deployments.</li><li>Document systems, workflows, and model performance for internal use.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>4+ years of professional experience in AI/ML, deep learning, or data science.</li><li>Strong programming expertise in Python, TensorFlow, PyTorch, Scikit-Learn.</li><li>Hands-on experience with LLMs, NLP, CNNs, RNNs, Transformers.</li><li>Experience with cloud services (AWS Sagemaker, Azure ML, GCP Vertex AI).</li><li>Proficiency in MLOps (Docker, Kubernetes, CI/CD, MLflow, Airflow).</li><li>Strong understanding of data pipelines, ETL, and feature engineering.</li><li>Experience with big data tools (Spark, Hadoop, Databricks).</li><li>Strong mathematics and statistics background.</li><li>Excellent problem-solving and analytical skills.</li></ul>Preferred/Good to Have<ul><li>Experience in Generative AI (LLMs, diffusion models).</li><li>Knowledge of API development using FastAPI or Flask.</li><li>Experience with vector databases (Pinecone, Weaviate, FAISS).</li><li>Familiarity with model optimization, quantization, pruning.</li><li>Previous experience leading AI teams or projects.</li></ul>What We Offer<ul><li>Competitive salary package based on experience and expertise.</li><li>Annual bonuses and performance-based rewards.</li><li>Opportunity to work on cutting-edge AI and Generative AI projects.</li><li>A collaborative, innovative, and fast-paced work environment.</li><li>Direct involvement in impactful AI initiatives influencing company-wide strategy.</li><li>Career growth opportunities with leadership and R&amp;D roles.</li><li>Exposure to global clients and enterprise-level AI applications.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What would be your expected salary for this position?</li><li>How soon you can join us for this on-site full time position?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>relevant: 3 years (Preferred)</li></ul>Work Location: In person

Senior AI/ML Engineer

DiveDeepAI

At DiveDeepAI, we are looking for a Senior Machine Learning Engineer to join our fast-growing team in Islamabad. You will play a pivotal role in designing, developing, and deploying state-of-the-art AI models, bridging the gap between research and production. What You will do You will be the technical anchor for our AI projects, ensuring we deliver robust and innovative solutions.<ul><li>Innovate &amp; Architect: Continuously research and implement cutting-edge AI techniques (LLMs, Computer Vision, NLP) to enhance product innovation.</li><li>End-to-End Development: Design, develop, and deploy high-performance machine learning models to solve complex business challenges.</li><li>Optimize for Scale: Write production-grade Python code and optimize model performance using TensorFlow/PyTorch within cloud environments (AWS, GCP, or Azure).</li><li>Collaborate &amp; Lead: Work closely with cross-functional teams (Full Stack, Mobile, DevOps) to integrate AI into web and mobile platforms.</li><li>Mentorship: Guide junior engineers and contribute to code reviews and architecture discussions.</li></ul>What You Bring<ul><li>Experience: 3+ years of professional experience in Machine Learning or Data Science.</li><li>Tech Stack Mastery: Deep proficiency in Python and frameworks like PyTorch or TensorFlow.</li><li>Cloud Native: Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes).</li><li>Modern AI Knowledge: Familiarity with Generative AI, LLMs (LangChain, LlamaIndex), or RAG pipelines is a huge plus.</li><li>Engineering Mindset: You understand that a model is only as good as its deployment. You care about latency, scalability, and MLOps best practices.</li><li>Problem Solver: A self-starter mindset with the ability to translate business requirements into technical solutions.</li></ul>Why Join DiveDeepAI:<ul><li>Impact: Work with a fast-growing AI company shaping real-world products across the US and Europe.</li><li>Growth: A clear path to technical leadership or solution architecture.</li><li>Culture: A collaborative, onsite environment in Islamabad where innovation is encouraged.</li><li>Compensation: Competitive market salary.</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs500,000.00 per monthWork Location: In person

Senior Machine Learning Engineer

Datamatics Global Services Ltd

<div><h3 class="jobSectionHeader">Job Title: DevOps / MLOps Engineer</h3>
Experience: 7&ndash;9 Years 
Location: Remote<h4 class="jobSectionHeader"> 
Job Summary</h4>
We are seeking a skilled DevOps Engineer with hands-on MLOps experience to design, automate, and manage scalable infrastructure and CI/CD pipelines for cloud-native and machine learning workloads. The role requires strong expertise in automation, container orchestration, and continuous delivery, with a focus on reliability, performance, and scalability.<h4 class="jobSectionHeader"> 
Key Responsibilities</h4><ul><li>
Design, build, and maintain CI/CD pipelines using Jenkins and automation tools</li><li>
Implement and manage MLOps pipelines for model training, deployment, monitoring, and retraining</li><li>
Deploy, manage, and scale containerized applications using Kubernetes</li><li>
Automate infrastructure provisioning and configuration using IaC tools</li><li>
Manage cloud infrastructure and services on Google Cloud Platform (GCP)</li><li>
Ensure high availability, security, and performance of platforms and pipelines</li><li>
Collaborate with data scientists and engineers to productionize ML models</li><li>
Monitor systems, optimize costs, and troubleshoot production issues</li></ul><h4 class="jobSectionHeader"> 
Required Skills &amp; Experience</h4><ul><li>
Strong experience as a DevOps Engineer with exposure to MLOps practices</li><li>
Hands-on expertise with Kubernetes (deployment, scaling, networking)</li><li>
Strong experience with Jenkins for CI/CD automation</li><li>
Experience with automation and scripting tools (Terraform, Ansible, Bash, Python, etc.)</li><li>
Strong understanding of containerization (Docker) and microservices architecture</li><li>
Experience with monitoring, logging, and alerting solutions</li></ul><h4 class="jobSectionHeader"> 
Nice to Have</h4><ul><li>
Experience with ML platforms such as Kubeflow, Vertex AI, or MLflow</li><li>
Knowledge of GitOps tools (ArgoCD, Flux)</li><li>
Experience with security, IAM, and compliance in cloud environments</li></ul>
YR6JMI01Y8</div>

DevOps / MLOps Engineer

Teamficient

AI Developer / AI EngineerCompany: TeamFicientLocation: RemoteJob Type: Full-timeSalary Range: To Be DeterminedAbout the RoleTeamFicient is seeking an experienced AI Developer / AI Engineer to join our dynamic team. In this role, you will be at the forefront of designing, developing, and scaling cutting-edge AI-powered applications that drive innovation and deliver exceptional value to our clients. This is a remote opportunity for a skilled professional passionate about applied artificial intelligence with a proven track record of building production-grade AI systems.Key Responsibilities<ul><li>Build and scale robust AI-powered applications that solve complex business challenges</li><li>Design and implement solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other applied AI systems</li><li>Develop and maintain backend services that support AI platforms and ensure seamless integration with cloud infrastructure</li><li>Deploy and optimize AI solutions on cloud platforms, including AWS, Azure, and/or Google Cloud Platform (GCP)</li><li>Collaborate with cross-functional teams to understand requirements and translate them into scalable AI architectures</li><li>Implement containerization and orchestration strategies using Docker and Kubernetes (K8s)</li><li>Design and develop RESTful APIs to enable the integration of AI capabilities across various applications</li><li>Monitor, troubleshoot, and optimize AI models and systems for performance, scalability, and reliability</li><li>Stay current with emerging AI technologies, tools, and best practices to continuously improve our AI capabilities</li><li>Participate in code reviews, documentation, and knowledge sharing to maintain high engineering standards</li></ul>Required Qualifications<ul><li>5+ years of professional experience in AI engineering, machine learning, or software engineering with a focus on AI systems</li><li>Proven experience deploying and maintaining AI solutions in production environments</li><li>Strong proficiency in Python and experience with AI/ML frameworks and libraries</li><li>Hands-on experience working with Large Language Models (LLMs) and related technologies</li><li>Demonstrated expertise in cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)</li><li>Solid understanding of API design and development principles and best practices</li><li>Experience with containerization technologies, including Docker and orchestration tools like Kubernetes (K8s)</li><li>Strong problem-solving skills and ability to architect scalable, efficient AI solutions</li><li>Excellent communication skills and ability to work effectively in a remote, collaborative environment</li><li>Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience</li></ul>Preferred Qualifications<ul><li>Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases</li><li>Familiarity with MLOps practices and tools for model deployment and monitoring</li><li>Knowledge of additional programming languages such as Go, Java, or JavaScript/TypeScript</li><li>Experience with CI/CD pipelines and infrastructure as code (Terraform, CloudFormation)</li><li>Contributions to open-source AI/ML projects or active participation in the AI community</li><li>Experience working in agile development environments</li><li>Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field</li></ul>What We Offer<ul><li>Fully remote work environment</li><li>Opportunity to work on cutting-edge AI technologies and innovative projects</li><li>Collaborative and supportive team culture</li><li>Professional development opportunities and continuous learning</li></ul>TeamFicient is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Job Type: Full-timeApplication Question(s):<ul><li>What is your expected monthly salary for this position (in USD)?</li></ul>Please provide your ideal and lowest negotiable salary. For example, Ideal: $1,200 Lowest: $800Work Location: Remote

Remote AI Developer / AI Engineer

Explore 267+ Associate machine learning engineer in Islamabad this January. Find roles across top companies and apply now to boost your career.