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automated operations engineer

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NCRI PAKISTAN PVT. LTD.

We&rsquo;re looking to hire an experienced AI/ML Engineer to design and implement intelligent solutions that enhance our customer interaction analytics and CRM insights.Scope of Work<ul><li>Sentiment Analysis of Calls</li><li>Build and deploy models to analyze customer sentiment from call recordings or transcripts.</li><li>Deliver accurate emotion and tone detection using NLP and speech analytics.</li><li>Automated QA of Calls (Auto-QA)</li><li>Develop an AI-driven quality assurance system to evaluate agent performance across compliance, tone, empathy, and resolution metrics.</li><li>Utilize speech-to-text, NLP, and similarity-based evaluation for consistency with internal QA standards.</li><li>Optionally leverage RAG for dynamically referencing updated QA criteria or policy documents.</li><li>AI Integration with CRM (Trends &amp; Next Best Action)</li><li>Integrate AI with our CRM to uncover insights, performance trends, and customer behavior patterns.</li><li>Implement Retrieval-Augmented Generation (RAG) for context-aware recommendations and dynamic knowledge retrieval.</li><li>Use vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS) to enable semantic search and similarity analysis across CRM data.</li><li>Generate &ldquo;next best action&rdquo; suggestions for customer management based on historical interactions and outcomes.</li></ul>Ideal Candidate Qualifications<ul><li>Proven experience in Machine Learning, NLP, and Speech Analytics.</li><li>Strong command of Python, LLM APIs (e.g., OpenAI, Anthropic, Hugging Face).</li><li>Experience with RAG pipelines and vector databases for retrieval and semantic search.</li><li>Background in integrating AI solutions with CRM platforms (Salesforce, HubSpot, or custom systems).</li><li>Familiarity with cloud AI services (AWS Comprehend, Google Speech, or Azure Cognitive Services) is a plus.</li></ul>Deliverables<ul><li>Working prototypes or proof-of-concept modules for each component.</li><li>Scalable architecture and documentation for model deployment.</li><li>Optional dashboards or analytics interface for insights visualization.</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs200,000.00 per monthWork Location: In person

Senior Ai / Machine Learning Engineer

Cloud Enterprise Business Solutions (CEBS)

<div>
 
 
 Data Scientist
 
 
 
 We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
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 Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
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 Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
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 Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
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 Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
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 Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
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 Document models, workflows, and results following best practices for reproducibility and governance.
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 </ul>
 
 
 
 
 
 Key Qualifications
 
 
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 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
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 Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
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 Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
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 Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
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 Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
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 Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
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 Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
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 </ul>
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Data Scientist

Funprime technologies Pvt Ltd

We are hiring a AI Engineer with deep expertise in AI model development, optimization, and deployment. The role primarily focuses on enhancing existing AI models, improving their accuracy and efficiency, and managing server-side infrastructure for large-scale AI applications.Key Responsibilities<ul><li>Research, fine-tune, and enhance AI models for performance, scalability, and accuracy.</li><li>Develop backend systems to support model inference, data pipelines, and monitoring.</li><li>Manage and optimize server infrastructure (GPU-based systems, Docker, Kubernetes).</li><li>Deploy and maintain AI models in production with CI/CD pipelines.</li><li>Handle model versioning, testing, and performance evaluation.</li><li>Collaborate with cross-functional teams to ensure seamless model integration and stability.</li></ul>Required Skills <ul><li>Proficiency in Python, with experience in PyTorch, TensorFlow, or Transformers.</li><li>1-2 years of experience Required.</li><li>Strong understanding of machine learning model training, tuning, and deployment.</li><li>Experience with Docker, Kubernetes, Linux server management, and cloud environments (AWS / GCP / Contabo).</li><li>Solid knowledge of REST APIs, microservices, and data pipelines.</li><li>Familiarity with DevOps/MLOps tools and best practices.</li><li>Bonus: Experience in distributed training, GPU optimization, or custom model architectures.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

Octaloop Technologies

Octaloop IT &amp; NS is seeking a talented and experienced AI Developer (Computer Vision) to join our growing team.Qualifications:<ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>MS degree in Computer Science, Computer Vision, Machine Learning, or related technical field.</li><li>1+ years of experience developing and designing Computer Vision and/or Machine Learning technologies and systems on 3D reconstruction and mapping.</li><li>1+ years of experience engineering in C++ and/or Python</li><li>Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, scene understanding, or semantic segmentation.</li></ul>Job Description:<ul><li>Design and develop novel computer vision and/or machine learning algorithms in areas such as: large scale mapping, reconstruction and scene understanding, real-time scene and object tracking, as well as semantic segmentation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstructions.</li><li>Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into product.</li><li>Collaborate with cross-functional engineering and research teams in computer vision projects, machine learning, and graphics related product innovations.</li><li>Participate in cutting edge research in computer vision that can be applied to AR/VR product development.</li></ul>Required Attributes &amp; Skills:<ul><li>1+ years of industry experience in Computer Vision / Machine Learning or related fields.</li><li>Experience with data preprocessing, augmentation, and annotation for computer vision tasks.</li><li>Experience in object detection, image segmentation, and image classification.</li><li>Experience dealing with shallow data sets and leveraging simulated data to augment a data set.</li><li>Experience incorporating physics-based features alongside data-driven features.</li><li>Experience running experiments that generate additional, usable data in a training/testing/validation sequence.</li><li>Experience deploying computer vision systems in production environments.</li><li>Experience leading technical teams in project execution.</li><li>Proficiency in deep learning frameworks (Tensor Flow, PyTorch) for building and deploying CVML models.</li><li>Excellent communication skills with both technical and non-technical audiences.</li></ul>Employment TypeFull timeEmail:hr@octaloop.ioAddress:IslamabadJob Types: Full-time, ContractWork Location: In person

AI Developer (Computer Vision)

WebDigitalSphere

Job description:We are looking for a Senior AI Engineer who is passionate about building cutting-edge AI and Machine Learning solutions. This role involves working with advanced technologies like NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision to develop and deliver impactful AI-driven applications for clients across various industries.Key Responsibilities:<ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on NLP, GenAI, LLMs, LangChain, and Computer Vision projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in AI, ML, and data science to enhance solution quality.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Hands-on experience with NLP, LLMs, LangChain, and GCP (Google Cloud Platform).</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Competitive USD-based salary.</li><li>Opportunity to work with global clients and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul>Job Type: Full-timeWork Location: In person

Lead AI Engineer

Fusemachines

<div>About Fusemachines
Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. 
 
Key Responsibilities<ul><li>
Design, build, and validate time-series forecasting models to predict key business metrics</li><li>
Experiment with and evaluate a diverse range of modeling techniques, including traditional ML models (e.g., XGBoost), statistical methods (e.g., Prophet), and advanced deep learning approaches (e.g., DeepAR, N-BEATS).</li><li>
Collaborate closely with senior data scientists to analyze business requirements, perform feature engineering, and iterate on model improvements.</li><li>
Work with data engineers to understand and utilize complex datasets from Snowflake</li><li>
Contribute to the deployment of the model in a cloud environment, ensuring it is scalable and maintainable.</li><li>
Take ownership of the long-term model lifecycle, including performance monitoring, retraining, and incorporating new data inputs as they become available.</li><li>
Translate complex model outputs into actionable insights and communicate findings to stakeholders across different business units.</li></ul><h3 class="jobSectionHeader">
Required Skills and Qualifications</h3><ul><li>
Proven professional experience as a Data Scientist with a strong emphasis on time-series analysis and forecasting.</li><li>
Hands-on experience building and deploying forecasting models using libraries/frameworks such as:<ul><li>
XGBoost</li><li>
Prophet</li><li>
Deep Learning frameworks (e.g., PyTorch, TensorFlow)</li></ul></li><li>
Proficiency in Python and its core data science ecosystem (e.g., pandas, NumPy, scikit-learn).</li><li>
Solid understanding of the underlying statistical and machine learning principles of various forecasting techniques.</li><li>
Ability to work collaboratively within a distributed team and effectively partner with client-side data scientists and engineers.</li><li>
Strong problem-solving skills with the ability to navigate complex data landscapes and translate business challenges into quantitative models.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Direct experience with advanced neural network architectures for time-series forecasting, such as DeepAR or N-BEATS.</li><li>
Familiarity with querying and working with data from data warehouses, particularly Snowflake.</li><li>
Experience with MLOps practices, including model deployment, monitoring, and maintenance in a cloud environment.</li><li>
Domain knowledge in finance, supply chain, or sales operations planning is a significant plus</li></ul> 
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
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Openprovider

<div>About the company
Openprovider is an ICANN-accredited domain registrar and technology company founded in 2004 in Rotterdam, Netherlands. We are a fully-remote organisation with more than 100 team members spread across 20+ countries. Remote working means no office, no painful commuting, and no stressful traffic - all you need is yourself, a laptop, and a cup of coffee!
A diverse and inclusive organisation, we support a healthy work-life balance and are constantly looking for new ways to help the well-being of our people. We support a flexible schedule and are 100% performance and result-oriented. At Openprovider, we're not just a company; we're a mission-driven team dedicated to transforming the domain industry. We believe in providing a trusted digital identity to every business.
Our innovative approach is reshaping the industry from a traditional transactional model to a more customer-centric, subscription-based approach. We pay subscriptions for music, newspapers, and movies - why should domains be any different?
Come join us on our journey to create a trusted digital world.
About the role
We're looking for a highly skilled Full Stack AI Automation Engineer to design, build, and maintain intelligent automation systems that leverage AI to streamline business processes. You'll be responsible for creating end-to-end solutions that connect APIs, automate workflows, and deploy scalable AI-powered applications.
This is a cross-functional role sitting at the intersection of AI/ML, backend development, frontend interfaces, and DevOps - ideal for someone who enjoys building complete solutions and loves bringing AI capabilities to life through automation.
What you'll do<ul><li>
Design and develop full-stack automation platforms using Python for backend logic and modern frontend frameworks</li><li>
Build and integrate AI-powered workflows using LLMs, machine learning models, and intelligent decision-making systems</li><li>
Create and maintain RESTful APIs and GraphQL endpoints for automation services and third-party integrations</li><li>
Deploy and manage applications on Google Cloud Platform (GCP) using serverless functions, containers, and managed services</li><li>
Implement CI/CD pipelines and maintain code repositories using GitHub with proper branching strategies and code reviews</li><li>
Collaborate using Jira for project management and Confluence for technical documentation and knowledge sharing</li><li>
Monitor system performance, implement error handling, and ensure high availability of automation services</li><li>
Work closely with stakeholders to identify automation opportunities and translate business requirements into technical solutions</li><li>
Optimize existing automations for performance, cost-efficiency, and scalability</li><li>
Maintain comprehensive documentation and establish best practices for the automation platform</li></ul> 
What you'll bring<ul><li>
Hands-on engineering mindset with ability to architect and execute complex automation solutions</li><li>
Self-starter attitude with strong problem-solving skills and ability to work independently</li><li>
5+ years of Python development experience with expertise in frameworks like FastAPI, Django, or Flask</li><li>
3+ years of full-stack development experience with modern frontend frameworks (React, Vue.js, or Angular)</li><li>
2+ years of AI/ML integration experience working with LLMs, APIs (OpenAI, Anthropic), and ML frameworks</li><li>
Proven experience with API development including RESTful services, authentication, rate limiting, and documentation</li><li>
Strong GCP expertise including Cloud Functions, Cloud Run, BigQuery, Vertex AI, and infrastructure management</li><li>
Advanced Git/GitHub skills including Actions, project management, and collaborative development workflows</li><li>
Proficiency with Jira for agile project management and Confluence for technical documentation</li><li>
Experience with automation frameworks and workflow orchestration tools</li><li>
Knowledge of database design (both SQL and NoSQL) and data processing at scale</li><li>
Understanding of DevOps practices including containerization (Docker), CI/CD, and monitoring</li><li>
Strong system design skills with ability to architect scalable, maintainable solutions</li></ul>
What we offer<ul><li>
100% Remote Work: Work from anywhere in the world - we&rsquo;re a fully remote company with no mandatory office presence.</li><li>
Flexible Working Hours: Plan your day around your energy and productivity.</li><li>
Paid Time Off &amp; Sick Leave: We encourage rest and recovery &mdash; take time to recharge when needed.</li><li>
Quarterly &amp; Annual Reviews: Transparent performance conversations with space to grow, learn, and progress.</li><li>
Global Team Culture: Collaborate with open-minded colleagues from over 20 countries - we value diversity and inclusion.</li><li>
Regular Online &amp; Offline Events: Virtual coffee breaks, online games, meetups, and company gatherings to keep our connections strong.</li><li>
Learning &amp; Growth Opportunities: Internal workshops, cross-team projects, and knowledge-sharing sessions to keep developing your skills.</li><li>
Modern Remote Workplace: We&rsquo;re proud to be an ISO 27001-certified organization, ensuring high standards of security and professionalism in everything we do.</li><li>
Tools That Empower You: We provide access to top collaboration tools and platforms that make remote teamwork efficient and enjoyable.</li><li>
Supportive Environment: A culture that values trust, transparency, and wellbeing &mdash; we believe happy people build better products.</li></ul></div>

Full Stack AI Automation Engineer - Fully Remote Job

Explore 223+ Machine learning engineer in Islamabad this November. Find roles across top companies and apply now to boost your career.

223 machine learning engineer jobs IN Islamabad

Senior Ai / Machine Learning Engineer

Data Scientist

AI Engineer

AI Developer (Computer Vision)

Lead AI Engineer

Data Scientist

Full Stack AI Automation Engineer - Fully Remote Job