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lead full stack engineer (.net, vue/react) - full remote

(remote) senior full-stack web developer Jobs in Islamabad

(remote) senior full-stack web developer

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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)

ai research engineer reinforcement learning 100 remote

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in reinforcement learning approaches for advanced models. Your work will optimize decision-making and adaptive behavior to deliver enhanced intelligence, improved performance, and domain-specific capabilities for real-world challenges. You will work across a broad spectrum of systems, including resource-efficient models designed for limited hardware environments and complex multi-modal architectures that integrate data such as text, images, and audio.
We expect you to have deep expertise in designing reinforcement learning systems and a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to developing, testing, and implementing novel reinforcement learning algorithms and training frameworks. Your responsibilities include curating specialized simulation environments and training datasets, strengthening baseline policy performance, and identifying as well as resolving bottlenecks in the reinforcement learning process. The ultimate goal is to unlock superior, domain-adapted AI performance and push the limits of what these models can achieve in dynamic, real-world environments.
Responsibilities<ul><li>
Develop and implement state-of-the-art reinforcement learning algorithms designed to optimize decision-making processes in both simulated and real-world settings. Establish clear performance targets such as reward maximization and policy stability.</li><li>
Build, run, and monitor controlled reinforcement learning experiments. Track key performance indicators while documenting iterative results and comparing outcomes against established benchmarks.</li><li>
Identify and curate high-quality simulation environments and training datasets that are tailored to specific domain challenges. Set measurable criteria to ensure that the selection and preparation of these resources significantly enhance the learning process and overall model performance.</li><li>
Systematically debug and optimize the reinforcement learning pipeline by analyzing both computational efficiency and learning performance metrics. Address issues such as reward signal noise, exploration strategy, and policy divergence to improve convergence and stability.</li><li>
Collaborate with cross-functional teams to integrate reinforcement learning agents into production systems. Define clear success metrics such as real-world performance improvements and robustness under varied conditions and ensure continuous monitoring and iterative refinements for sustained domain adaptation.</li></ul><ul><li>
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D (with good publications in A* conferences).</li><li>
Proven experience with large-scale reinforcement learning experiments, including online RL techniques such as Group Relative Policy Optimization (GRPO), is essential. Your contributions should have led to measurable improvements in domain-specific decision-making and overall policy performance.</li><li>
Deep understanding of reinforcement learning algorithms is required, including state-of-the-art online RL methods and other gradient-based optimization approaches like policy gradients, actor-critic, and GRPO. Your expertise should emphasize enhancing policy stability, exploration, and sample efficiency in complex, dynamic environments.</li><li>
Strong expertise in PyTorch and relevant reinforcement learning frameworks is a must. Practical experience in developing RL pipelines, from simulation and online training to post-training evaluation and deploying RL-based solutions in production environments is expected.</li><li>
Demonstrated ability to apply empirical research to overcome reinforcement learning challenges such as sample inefficiency, exploration-exploitation tradeoffs, and training instability. You should be proficient in designing robust evaluation frameworks and iterating on algorithmic innovations to continuously push the boundaries of RL agent performance.</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

AI Research Engineer - Reinforcement Learning (100% Remote)

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

Datamatics Global Services Ltd

<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>
iZb5PxQMwT</div>

Senior Robotic Process Automation - RPA

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

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

SME Careers

<div>
 As an hourly paid, fully remote Go Engineer for AI Data Training, you will review AI-generated Go code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, readability, and adherence to backend-style best practices; identify errors in concurrency, error handling, or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Go; and rate and compare multiple AI responses based on correctness and reasoning quality.
 
 This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, and your work will directly help improve the world&rsquo;s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
 </li>
 <li>
 Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
 
 </li>
 </ul>
 
 Your Profile
 
 
 <ul>
 <li>
 1&ndash;2+ years of professional Go programming experience, ideally focused on backend services, APIs, or systems work.
 </li>
 <li>
 Strong understanding of Go idioms, including clear error handling, composition over inheritance, and simple, readable interfaces.
 </li>
 <li>
 Hands-on software engineering experience building and maintaining backend-style Go applications in production environments.
 </li>
 <li>
 Ability to evaluate correctness and readability in backend-oriented Go code, including concurrency patterns, error propagation, and API design.
 </li>
 <li>
 Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output.
 </li>
 <li>
 Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations.
 </li>
 <li>
 Minimum Bachelor&rsquo;s degree in Computer Science or a closely related technical field.
 </li>
 <li>
 Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required.
 </li>
 <li>
 Highly preferred: hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects.
 </li>
 <li>
 Preferred: merged PRs in Go open-source projects, competitive programming experience, cloud-native development exposure, and familiarity with Go performance profiling tools and techniques.
 </li>
 </ul>
</div>

Go Engineer

<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

Explore 445+ Ai research engineer reinforcement learning 100 remote in Islamabad this January. Find roles across top companies and apply now to boost your career.