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implementation engineer (system administrator) Jobs in Islamabad

implementation engineer (system administrator)

ml engineer

Eurus Technologies 

Positions: 4Job Type: Full Time (On-Site)Location: IslamabadWe are seeking an innovative and experienced AI/ML Engineer to design, develop, and deploy AI/ML solutions that address real-world challenges. The role involves building and optimizing models, crafting effective prompts for LLMs, and integrating AI into production systems at scale.Responsibilities:<ul><li>Design, develop, and deploy machine learning and deep learning models.</li><li>Preprocess, clean, and organize large datasets for optimal model performance.</li><li>Collaborate with data scientists and software engineers to integrate AI models into applications.</li><li>Design, test, and refine prompts to optimize Large Language Model (LLM) outputs for accuracy, relevance, and efficiency.</li><li>Optimize model performance, scalability, and resource utilization in production environments.</li><li>Stay current with advancements in AI/ML and prompt engineering techniques.</li><li>Develop APIs and services for model consumption.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>Proven experience in machine learning and AI solution development.</li><li>Proficiency in Python and frameworks/libraries such as TensorFlow, PyTorch, or scikit-learn.</li><li>Hands-on experience with prompt engineering for LLMs (e.g., GPT, Claude, or similar).</li><li>Strong understanding of statistics, data modeling, and deep learning concepts.</li><li>Experience deploying models using Docker, Kubernetes, or Cloud ML services..</li></ul>Nice to Have:<ul><li>Experience with natural language processing (NLP), computer vision, or reinforcement learning.</li><li>Familiarity with MLOps practices and CI/CD pipelines for ML.</li><li>Experience with cloud AI platforms, such as:</li><li>AWS Bedrock, AWS SageMaker</li><li>GCP AI Platform, Vertex AI Generative AI Studio</li><li>Azure ML, Azure AI Studio</li></ul>Compensation and Benefits:<ul><li>Market Competitive Salary</li><li>Personal and Family Medical Insurance</li><li>Personal Life Insurance</li><li>Parental Medical Insurance</li><li>Personal and Family OPD</li><li>Weekly Meal</li><li>EOBI</li><li>Paid Technical Certifications</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

Webtronix

Job Summary: We are seeking a skilled and innovative Senior AI/ML Engineer to join our team and help design, develop, and deploy cutting-edge machine learning and artificial intelligence solutions. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience working with large-scale datasets. You&rsquo;ll work cross-functionally with data scientists, software engineers, and product teams to integrate AI/ML models into real-world applications.Responsibilities:<ul><li>Design, develop, and implement machine learning models and AI algorithms.</li><li>Collaborate with data scientists and domain experts to preprocess and analyze data.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Develop end-to-end pipelines for model training, validation, deployment, and monitoring.</li><li>Integrate machine learning solutions into production systems and applications.</li><li>Conduct model evaluation and tuning using metrics such as precision, recall, F1 score, and ROC AUC.</li><li>Maintain documentation for models, data pipelines, and experiments.</li><li>Stay updated with the latest AI/ML research and industry trends and apply best practices.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Strong programming skills in Python (and libraries such as TensorFlow, PyTorch, scikit-learn).</li><li>Solid understanding of supervised, unsupervised, and deep learning techniques.</li><li>Experience with data preprocessing, feature engineering, and data visualization.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.</li><li>Experience working with large datasets and distributed computing frameworks (e.g., Spark).</li><li>Understanding of software engineering best practices: version control (Git), CI/CD, testing, etc</li></ul>Technical Skills:<ul><li>Experience with NLP, Computer Vision, or Time Series modeling.</li><li>Familiarity with Docker, Kubernetes, and model deployment frameworks like MLflow or SageMaker.</li><li>Contributions to open-source ML projects or research publications.</li><li>Experience with data annotation tools and techniques.</li></ul>Web-Tronix is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In person

Senior AI/ML Engineer

Centrox AI

Job Description:We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will play a key role in analyzing complex data sets, deriving insights, and developing innovative solutions to drive business growth and enhance decision-making processes.Responsibilities:<ul><li>Collaborate with cross-functional teams to identify business challenges and opportunities where data science can provide valuable insights and solutions.</li><li>Collect, clean, and analyze large volumes of structured and unstructured data from various sources.</li><li>Apply advanced statistical and machine learning techniques to develop predictive models and algorithms that drive business outcomes.</li><li>Perform exploratory data analysis to uncover patterns, trends, and correlations within the data.</li><li>Develop and implement data-driven strategies to optimize business processes, improve customer experience, and drive growth.</li><li>Design and execute A/B tests and experiments to evaluate the effectiveness of different approaches and drive continuous improvement.</li><li>Communicate complex analytical findings and insights to stakeholders in a clear and concise manner.</li><li>Stay up-to-date with the latest advancements in data science, machine learning, and industry trends, and apply them to solve business challenges.</li><li>Mentor and provide guidance to junior data scientists and analysts as needed.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Minimum of 2 years of hands-on experience in data science, statistical analysis, and machine learning.</li><li>Proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).</li><li>Strong understanding of statistical concepts and modeling techniques (e.g., regression, classification, clustering, time series analysis).</li><li>Experience with machine learning frameworks (e.g scikit-learn, TensorFlow, PyTorch) and knowledge of deep learning algorithms is a plus.</li><li>Experience with data visualization tools (e.g., Matplotlib) to present insights and findings in a visually compelling manner.</li><li>Excellent problem-solving skills and the ability to translate business requirements into analytical solutions.</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.</li></ul>Job Type: Full-timePay: From Rs100,000.00 per monthApplication Question(s):<ul><li>Application Question(s):</li></ul>Please fill the form for further consideration: https://cutt.ly/pwz0OhuWWork Location: In person

AI / ML Engineer

Devsinc

<div>
 
 Description
 
 
 
 Devsinc is seeking a
 
 Senior AI/Machine Learning Engineer
 
 with a strong background in Python, machine learning, and deep learning frameworks. Our ideal candidate will excel in cloud environments (such as AWS, Azure, GCP, and Databricks), possess the ability to design innovative AI solutions, exhibit expertise in Python, Spark, and relevant AI libraries, and demonstrate a high level of personal responsibility.
 
 
 Principal Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain scalable, secure AI and machine learning applications utilizing Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and cloud services
 </li>
 <li>
 Design and implement machine learning models and algorithms to support various AI-driven client applications, with a focus on user interface interactions and AI-driven features
 </li>
 <li>
 Integrate third-party AI/ML APIs and services to existing web applications
 </li>
 <li>
 Promote a data-driven and machine learning approach with a commitment to delivering valuable AI enhancements consistently
 </li>
 <li>
 Deep understanding of LLMs (open source). We focus on a wide variety of NLP use cases including writing assistance, summarization, and concept extraction
 </li>
 <li>
 Lead and participate in NLP and computer vision model development, providing constructive feedback to foster a culture of continuous improvement among team members
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 3-6 years of experience as an active coder, with proficiency in Python 3.x, strong Object-Oriented Programming (OOP) skills, and familiarity with modern Python features
 </li>
 <li>
 Proven experience in Natural Language Processing (NLP) and Computer Vision (CV)
 </li>
 <li>
 In-depth knowledge of essential Python libraries such as numpy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, Transformers, and others relevant to machine learning
 </li>
 <li>
 Competence in working with cloud environments (AWS, Azure, GCP, Databricks) and Linux, including Lambda/Serverless, SQS, SNS, S3, and EC2
 </li>
 <li>
 Experience deploying Transformer-based models into production
 </li>
 <li>
 Proficiency in Django or Flask is a huge plus
 </li>
 <li>
 Strong expertise in source control, code review, and repository management using Git
 </li>
 <li>
 Familiarity with software engineering principles and design patterns, including Dependency Injection, SOLID, Service Containers, and Providers
 </li>
 <li>
 Experience with containerization technologies like Docker
 </li>
 <li>
 Proficiency in building highly distributed, eventually consistent AI systems
 </li>
 <li>
 Familiarity with microservices architecture and message broker systems
 </li>
 <li>
 Expertise in various machine learning testing methodologies, including unit testing, integration testing, performance testing, and load testing
 </li>
 <li>
 Knowledge of data visualization, monitoring, and alerting concepts along with relevant tooling
 </li>
 <li>
 Excellent knowledge of Relational Databases, SQL, and ORM technologies such as SQLAlchemy
 </li>
 <li>
 Knowledge of LLMs, including fine-tuning and deployment integration with web applications
 </li>
 </ul>
</div>

Edge

<div>
 
 
 About Edge
 
 
 
 Edge is on a mission to remove geographic borders as barriers to full-time employment and fair wages. We&rsquo;re building a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we give companies a broader talent pool and accelerate their hiring process. Spread across four continents, we&rsquo;re a global team redefining how people work together.
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior AI/ML Engineer (Agentic AI)
 
 to architect and implement autonomous, goal-driven AI agents. This role is ideal for someone experienced in multi-agent systems, orchestration frameworks, and deploying complex LLM-based agents that can reason, plan, and act in dynamic environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Agentic System Design
 
 &ndash; Design and deploy multi-agent or hierarchical reasoning systems capable of planning, self-correction, and collaboration.
 </li>
 <li>
 
 LLM Orchestration
 
 &ndash; Build long-running pipelines using frameworks such as LangGraph, AutoGen, or similar to manage memory, tool-use, and context.
 </li>
 <li>
 
 Tool &amp; Data Integration
 
 &ndash; Connect agents to APIs, knowledge graphs, and vector databases (e.g., Pinecone, Weaviate, Milvus) to enable autonomous decision-making.
 </li>
 <li>
 
 Data &amp; Infrastructure
 
 &ndash; Develop and maintain data pipelines and embedding stores; implement ETL/ELT workflows.
 </li>
 <li>
 
 Optimization &amp; Scaling
 
 &ndash; Fine-tune and optimize LLMs for performance, cost, and safety; implement monitoring and feedback loops.
 </li>
 <li>
 
 Cross-Functional Collaboration
 
 &ndash; Partner with product, engineering, and compliance teams to align agent behavior with business goals and regulatory requirements.
 </li>
 </ul>
 
 
 Must-Have Qualifications
 
 
 <ul>
 <li>
 Demonstrated experience designing and deploying agentic or multi-agent AI systems.
 </li>
 <li>
 Deep understanding of transformer architectures and advanced prompt-engineering strategies.
 </li>
 <li>
 Strong Python skills and expertise with orchestration frameworks (LangGraph, AutoGen, CrewAI, etc.).
 </li>
 <li>
 Proficiency in building robust data pipelines and working with vector databases.
 </li>
 <li>
 Cloud deployment and MLOps experience (AWS, GCP, or Azure).
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience fine-tuning LLMs with LoRA/QLoRA/PEFT.
 </li>
 <li>
 Knowledge of reinforcement learning, planning algorithms, or neuro-symbolic methods.
 </li>
 <li>
 Contributions to open-source agentic AI frameworks or published research in autonomous AI.
 </li>
 </ul>
 
 
 Why Join Edge?
 
 
 
 Edge is at a pivotal growth stage, giving you the rare opportunity to shape the future of global employment. Your work will directly impact how businesses hire and how talent everywhere connects to opportunity.
 
 
 Join us to
 
 build the next generation of autonomous AI that changes how the world works across borders.
 
 
</div>

Lead AI/ML Engineer (Agentic AI)

NCRI

<div>About Us
We're a fast-moving startup on a mission to revolutionize the call centre industry using the power of AI and Large Language Models. We&rsquo;re building intelligent systems to enhance customer experience, supercharge agent performance, and drive operational excellence.
Through advanced conversational AI, we build systems that understand, adapt, and evolve with every conversation. Our platform powers decision-support tools and intelligent virtual agents, helping call centers deliver faster, smarter, and more human customer service&mdash;where every interaction matters.
As a Data/ML Engineer on our founding team, you&rsquo;ll design and maintain the pipelines that transform messy, real-world customer data into clean, reliable datasets. You&rsquo;ll also take ownership of training, deploying, and monitoring models that bring conversational AI into production. This hybrid role is ideal for someone who enjoys both building strong data foundations and shipping AI systems that scale. 
What You&rsquo;ll Do
 1. Data Engineering<ul><li>Design and maintain scalable pipelines to ingest, clean, and normalize omnichannel call center data (voice, chat, email, SMS).</li><li>Ensure high data quality, reliability, and accessibility for downstream ML and analytics.</li><li>Collaborate with data scientists to prepare annotated datasets for training and evaluation.</li></ul>
 2. Machine Learning Engineering<ul><li>Train, deploy, and monitor ML/LLM models in production (batch + real-time).</li><li>Implement model versioning, experiment tracking, and retraining pipelines.</li><li>Optimize inference for speed, scalability, and cost-efficiency.</li><li>Build feedback loops to continuously improve model performance.</li></ul>
 3. Collaboration<ul><li>Work closely with product, engineering, and data science teams members</li><li>Document and communicate your work clearly to both technical and non-technical stakeholders.</li></ul> 
What You Bring<ul><li>3&ndash;6 years of experience as a Data Engineer, ML Engineer, or similar hybrid role.</li><li>Deep expertise in NLP and LLMs.</li><li>Strong skills in Python and SQL.</li><li>Experience building ETL/ELT pipelines with tools like Airflow, dbt, or Spark.</li><li>Hands-on experience training and deploying ML models (e.g., scikit-learn, PyTorch, TensorFlow).</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure).</li><li>Knowledge of MLOps practices (model monitoring, experiment tracking, CI/CD for ML).</li><li>Comfort working with messy, real-world, multi-channel data.</li></ul> 
Bonus Points For<ul><li>Experience in or knowledge of the call centre / contact centre space.</li><li>Familiarity with voice-to-text models, real-time analytics, or conversation intelligence.</li><li>MLOps experience (e.g., model versioning, monitoring, CI/CD).</li></ul></div>

Machine Learning Engineer

Tech Solutions Pro

We&rsquo;re Hiring &ndash; AI Engineer (2&ndash;3 Years Experience)Location: OnsiteEmployment Type: Full-time---About the Role,We&rsquo;re looking for a passionate AI Engineer to join our team. You&rsquo;ll help implement AI in our products, client projects, and internal processes by designing, building, and deploying innovative AI solutions.---Key Responsibilities,Design, build, and deploy AI/ML models for real-world use cases.,Research and implement state-of-the-art AI techniques (NLP, Computer Vision, Generative AI, etc.).,Collaborate with teams to identify opportunities for AI-driven innovation.,Fine-tune and optimize models for performance and cost.,Develop APIs/microservices for AI model integration.,Monitor and maintain deployed models for scalability &amp; reliability.,Stay updated with the latest advancements in AI/ML.,---Requirements,2&ndash;3 years experience as an AI/ML Engineer, Data Scientist, or similar.,Strong in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).,Experience with NLP, Computer Vision, or Generative AI.,Familiarity with cloud platforms (AWS, GCP, Azure).,Knowledge of APIs, Docker, Kubernetes for deployment.,Strong problem-solving and analytical skills.,---Nice to Have,Experience with LLMs (LangChain, Hugging Face, OpenAI APIs).,Knowledge of MLOps for deployment/monitoring AI systems.,Exposure to prompt engineering and fine-tuning LLMs.,---What We Offer,Work on cutting-edge AI projects across multiple domains.,A culture of innovation and continuous learning.,Competitive salary &amp; growth opportunities.,Collaborative environment with talented engineers.Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

AI Engineer

Explore 146+ Ml engineer in Islamabad this October. Find roles across top companies and apply now to boost your career.

146 ml engineer jobs IN Islamabad

AI/ML Engineer

Senior AI/ML Engineer

AI / ML Engineer

Senior AI/ML Engineer

Lead AI/ML Engineer (Agentic AI)

Machine Learning Engineer

AI Engineer