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ai/ml engineer

associate engineer machine learning Jobs in Islamabad

associate engineer machine learning

associate machine learning engineer Jobs in Islamabad

associate machine learning engineer

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ai ml engineer

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

Creativelogicx

Job description:We are seeking an experienced developer to build and integrate AI-powered voice agents using Twilio, Vapi. The ideal candidate should have strong knowledge of conversational AI workflows, call routing, and API integrations.*Responsibilities:** Build and optimize AI-based voice agent workflows* Integrate Twilio Voice, Studio, and Programmable APIs* Connect voice agents with CRM systems (e.g., GHL, HubSpot, etc.)* Handle call flows, scheduling, and real-time data updates* Troubleshoot call quality, routing, and automation issues*Requirements:** Strong experience with *Vapi AI Voice Agent** Hands-on experience with *AI voice assistants* (GPT, VAPI, or similar)* Solid understanding of APIs, webhooks, and backend development* Ability to work independently and deliver fast, reliable solutionsJob Type: Full-timeWork Location: In person

AI/ML Engineer

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>
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 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>
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 Collaborate with cloud teams to integrate and deploy models in cloud environments, ensuring robust and efficient operations.
 </li>
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 Monitor deployed models, troubleshoot issues, and maintain high availability and performance.
 </li>
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 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.
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 In-depth knowledge of machine learning algorithms and foundational deep learning concepts.
 </li>
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 Hands-on experience with scikit-learn, TensorFlow or PyTorch, and MLflow.
 </li>
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 Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and basic cloud deployment practices.
 </li>
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 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
 
 
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</div>

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

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Senior ML Engineer &ndash; MLOps &amp; Productionization</h2>
Level: Senior 
Employment Type: Full-time 
Experience: 7+ Years 
Location: Islamabad<h3 class="jobSectionHeader"> 
Role Overview</h3>
We are seeking a Senior ML Engineer to bridge the gap between experimental AI/ML prototypes and production-ready enterprise systems. As our AI/ML initiatives evolve from research to production, you will be responsible for operationalizing ML and LLM models, ensuring they run reliably at scale, and establishing robust engineering practices within our intelligence layer.
This role requires a hands-on engineer with deep Python expertise, strong MLOps experience, and the ability to deliver high-performance, containerized services that support large-scale, streaming data environments.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Production Transition &amp; Microservices Development<ul><li>
Refactor Python-based ML models and LLM chains from experimental notebooks into production-ready, containerized microservices</li><li>
Ensure robust versioning, logging, and monitoring of models in production</li><li>
Collaborate with AI/ML researchers to translate R&amp;D prototypes into scalable software</li></ul>
MLOps &amp; Deployment Pipelines<ul><li>
Build automated CI/CD pipelines for model deployment, monitoring, and retraining</li><li>
Implement model lifecycle management, including rollback strategies and reproducibility</li><li>
Integrate ML models into high-velocity streaming pipelines with low-latency requirements</li></ul>
Performance, Reliability &amp; Standards<ul><li>
Optimize ML inference logic for real-time and high-throughput environments</li><li>
Define and enforce coding standards, testing frameworks, and best practices for the AI/ML engineering team</li><li>
Ensure system stability, reliability, and observability across the intelligence layer</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3><ul><li>
Advanced Python Expertise: Beyond scripting &ndash; experience with FastAPI, design patterns, testing frameworks, and clean, maintainable code</li><li>
Containerization &amp; Orchestration: Deep experience with Docker; familiarity with Kubernetes or equivalent orchestration for ML workloads</li><li>
MLOps &amp; Deployment: Proven experience with CI/CD, model versioning, automated retraining, and tools such as MLflow, Kubeflow, or similar</li><li>
Experience operationalizing ML/LLM models in production, with strong focus on scalability and reliability</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience with cloud-native AI/ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)</li><li>
Familiarity with streaming data platforms (Kafka, Pulsar, or similar)</li><li>
Exposure to monitoring, logging, and alerting frameworks for ML systems</li><li>
Knowledge of enterprise-grade security and compliance practices for AI</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong problem-solving and analytical thinking</li><li>
Ability to translate research prototypes into robust engineering solutions</li><li>
Excellent collaboration skills, capable of working across AI, data engineering, and DevOps teams</li><li>
High ownership mentality with a focus on production stability and scalability</li></ul><h3 class="jobSectionHeader">
Why Join</h3><ul><li>
Play a critical role in moving cutting-edge AI/ML into production</li><li>
Shape the MLOps strategy and best practices for a growing intelligence platform</li><li>
Work in a fast-moving, enterprise-scale AI/ML environment with real business impact</li></ul>
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Senior ML Engineer

Merik Solutions

Note: This is an onsite opportunity in i-10 Islamabad and timings are 6pm to 3amJob SummaryWe are seeking a talented Python + AI Developer to design, develop, and deploy intelligent applications using Python, Artificial Intelligence (AI), and Machine Learning (ML) technologies. The ideal candidate will work closely with cross-functional teams to build scalable, data-driven solutions that enhance products and business processes.Key Responsibilities<ul><li>Design, develop, and maintain applications using Python</li><li>Build, train, test, and deploy AI/ML models for real-world use cases</li><li>Work with structured and unstructured data for analysis and model training</li><li>Integrate AI/ML models into production systems via APIs</li><li>Optimize model performance, accuracy, and scalability</li><li>Collaborate with frontend and backend teams to deliver end-to-end solutions</li><li>Conduct code reviews and ensure best coding practices</li><li>Stay updated with the latest AI/ML tools, frameworks, and industry trends</li></ul>Required Skills &amp; Qualifications<ul><li>Strong experience in Python programming</li><li>Hands-on experience with Machine Learning and AI concepts</li><li>Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn</li><li>Experience with data processing libraries (Pandas, NumPy)</li><li>Understanding of supervised and unsupervised learning algorithms</li><li>Experience with REST APIs and model deployment</li><li>Familiarity with SQL or NoSQL databases</li><li>Good problem-solving and communication skills</li></ul>Preferred Qualifications<ul><li>Experience with NLP, Computer Vision, or Generative AI</li><li>Knowledge of LLMs, OpenAI APIs, LangChain, or vector databases</li><li>Experience with cloud platforms (AWS, GCP, Azure)</li><li>Understanding of MLOps tools and CI/CD pipelines</li><li>Background in data science or statistics</li></ul>What We Offer<ul><li>Competitive salary and benefits</li><li>Opportunity to work on cutting-edge AI projects</li><li>Collaborative and innovative work environment</li><li>Career growth and learning opportunities</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs260,000.00 per monthWork Location: In person

Python and AI Developer

<div><h2 class="jobSectionHeader">Job Title: Data Engineer &ndash; Streaming &amp; Real-Time Storage</h2>
Level: Intermediate / Senior 
Employment Type: Full-time<h3 class="jobSectionHeader">
Role Overview</h3>
We are seeking a Data Engineer to own and optimize the data infrastructure that powers our automation and AI ecosystem. You will be responsible for ensuring high-concurrency, low-latency data flow, maintaining data integrity, and designing storage strategies that support both real-time analytics and AI model outputs.
This role requires expertise in streaming architectures, database optimization, and system integration, with a focus on maintaining performance as data volume grows.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Pipeline Optimization &amp; Streaming<ul><li>
Refine and manage Kafka stream consumers and producers for high-throughput, low-latency processing</li><li>
Ensure timely ingestion of data from RPA sources to storage and analytical sinks</li><li>
Monitor, troubleshoot, and optimize streaming pipelines for reliability and performance</li></ul>
Schema &amp; Storage Design<ul><li>
Optimize relational (MySQL) and non-relational storage strategies for high-write environments</li><li>
Design scalable schemas to support AI/ML outputs and downstream analytics</li><li>
Implement storage solutions that balance speed, reliability, and query efficiency</li></ul>
Data Governance &amp; Quality<ul><li>
Ensure data integrity, consistency, and quality across streaming pipelines</li><li>
Collaborate with data engineers and analysts to enforce standards and monitoring</li><li>
Implement validation and alerting mechanisms for real-time data</li></ul>
Scaling &amp; Performance Strategy<ul><li>
Design high-performance ingestion patterns to replace basic database inserts where needed</li><li>
Support infrastructure growth, ensuring the system scales with increasing data volumes</li><li>
Provide guidance on architectural improvements and optimization opportunities</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3><ul><li>
Streaming &amp; Messaging: Expert knowledge of Kafka (Producers/Consumers, Connect, Schema Registry)</li><li>
Database Engineering: Strong SQL optimization skills; experience in write-heavy, high-concurrency environments</li><li>
System Integration: Experience building reliable connectors between distributed systems</li><li>
Familiarity with real-time storage patterns and high-availability architectures</li><li>
Experience monitoring and troubleshooting production data pipelines</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience with NoSQL or in-memory databases (Redis, Cassandra, etc.)</li><li>
Knowledge of cloud-based streaming platforms (AWS Kinesis, GCP Pub/Sub, Azure Event Hubs)</li><li>
Exposure to MLOps pipelines or real-time AI deployment scenarios</li><li>
Familiarity with containerization and orchestration (Docker, Kubernetes)</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong problem-solving and analytical skills</li><li>
Ability to operate in fast-paced, high-velocity environments</li><li>
Effective collaboration with data scientists, ML engineers, and operations teams</li><li>
Ownership mentality with a focus on performance, reliability, and scalability</li></ul><h3 class="jobSectionHeader">
Why Join</h3><ul><li>
Own the data backbone of a cutting-edge automation and AI ecosystem</li><li>
Shape high-performance streaming pipelines that directly power ML models</li><li>
Work in a fast-moving, innovative, and distributed environment with strong technical ownership</li></ul>
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Data Engineer – Streaming & Real-Time Storage

<div><h2 class="jobSectionHeader">Job Title: Senior RPA &amp; AI Developer</h2>
Level: Senior 
Employment Type: Full-time 
Experience: 5+ Years 
Location: Islamabad<h3 class="jobSectionHeader">
Role Overview</h3>
We are seeking an autonomous Senior RPA &amp; AI Developer with a strong Research &amp; Development mindset to evolve and scale our intelligence layer. While our internal R&amp;D team has established an initial baseline using techniques such as Isolation Forest for anomaly detection and River / Incremental Learning for streaming data, this role is expected to take ownership of the next phase.
You will generalize and extend existing approaches, leveraging Deep Learning, advanced neural architectures, and ensemble methods to transform point solutions into a robust, reusable, and production-grade intelligence platform. This role combines advanced AI/ML engineering with high-performance automation, operating in real-time, high-volume environments.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Advanced AI &amp; Model Generalization<ul><li>
Evolve existing baseline algorithms (e.g., Isolation Forest, River-based models) into generalized, scalable AI systems</li><li>
Design and implement Deep Learning and ensemble architectures suitable for real-time and streaming data</li><li>
Select and validate architectures that balance performance, explainability, and operational constraints</li></ul>
Independent Research &amp; Innovation<ul><li>
Conduct independent R&amp;D to identify and prototype next-generation ML and mathematical approaches</li><li>
Continuously evaluate emerging techniques relevant to anomaly detection, pattern recognition, and automation intelligence</li><li>
Translate experimental concepts into production-ready solutions</li></ul>
Feature Engineering &amp; Data Modeling<ul><li>
Engineer high-signal features from RPA logs, system events, and operational telemetry</li><li>
Build feature pipelines compatible with both traditional ML and Deep Learning models</li><li>
Optimize feature extraction for low-latency and streaming environments</li></ul>
Hybrid Automation &amp; Intelligence Integration<ul><li>
Develop high-performance automation bots using Selenium and UiPath</li><li>
Seamlessly integrate RPA workflows with custom-built AI intelligence modules</li><li>
Ensure tight coupling between automation execution and real-time AI decisioning</li></ul>
Production Delivery &amp; Engineering Excellence<ul><li>
Own the full development lifecycle using VS Code, from experimentation to production deployment</li><li>
Deliver production-grade models capable of handling massive, streaming datasets</li><li>
Ensure robustness, scalability, and maintainability of deployed solutions</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3>
AI / ML Expertise<ul><li>
Strong hands-on experience with Deep Learning frameworks (TensorFlow, PyTorch, or equivalent)</li><li>
Deep understanding of:<ul><li>
Unsupervised learning</li><li>
Online / incremental learning</li><li>
Anomaly detection</li><li>
Predictive modeling</li></ul></li><li>
Proven ability to extend and innovate beyond baseline algorithms</li></ul>
Automation &amp; Engineering<ul><li>
Advanced Python development skills</li><li>
Hands-on expertise with Selenium and UiPath in enterprise automation contexts</li><li>
Experience building intelligent automation solutions that operate at scale</li></ul>
Distributed &amp; Streaming Systems<ul><li>
Experience or familiarity deploying AI models in high-velocity, distributed ecosystems</li><li>
Understanding of streaming data architectures and low-latency processing constraints</li></ul><h3 class="jobSectionHeader">
Soft Skills &amp; Mindset</h3><ul><li>
Strong autonomy and ownership mentality</li><li>
Research-driven mindset with the ability to move from theory to production</li><li>
Excellent problem-solving and analytical skills</li><li>
Ability to operate effectively in fast-evolving, ambiguous problem spaces</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience with MLOps, model monitoring, or CI/CD for AI systems</li><li>
Knowledge of event-driven architectures or real-time processing frameworks</li><li>
Experience in large-scale automation or AI-driven operational platforms</li></ul><h3 class="jobSectionHeader">
Why Join</h3><ul><li>
Work at the intersection of advanced AI research and real-world automation</li><li>
High-impact role shaping the next generation of intelligent automation platforms</li><li>
Strong technical ownership with freedom to innovate beyond established baselines</li></ul>
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Senior Robotic Process Automation - RPA

Explore 185+ Ai ml engineer in Islamabad this January. Find roles across top companies and apply now to boost your career.