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machine learning engineer

Rapid Labs

Senior Full Stack Machine Learning EngineerAbout Rapid LabsRapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.About the RoleWe are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.What You Will DoBuild and Own End to End ML Systems<ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul>Engineer Strong Data and Feature Pipelines<ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul>Ship and Operate Production ML<ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul>Lead Technically and Collaborate Effectively<ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul>What We Are Looking ForMust Have<ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul>Nice to Have<ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Lahore Office, Islamabad Office, or Remote (Flexible)This role offers flexibility in how you work. Candidates may choose to join our Lahore office, work from our Islamabad office, or operate fully remote, depending on what works best for them.Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul>Experience:<ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Work Location: In person

Senior Full Stack Machine Learning Engineer

Datamatics Global Services Ltd

<div>Department: IT Development 
Reports To: AI Engineering Lead<h2 class="jobSectionHeader">
Position Summary</h2>
The AI Engineer is responsible for designing, developing, and deploying AI-powered applications and systems that integrate with Android, iOS, and web platforms. The role involves working on applied machine learning, automation, and intelligent features that enhance customer experience and operational efficiency. The ideal candidate should have strong expertise in mobile development, backend engineering (Python), and web technologies, along with hands-on experience in building, testing, and scaling AI-driven solutions.<h2 class="jobSectionHeader">
Duties &amp; Responsibilities</h2><ul><li>
Design, build, and maintain AI-driven features for mobile (Android/iOS) and web platforms</li><li>
Collaborate with cross-functional teams (mobile, backend, product) to integrate AI capabilities such as recommendation engines, chatbots, fraud detection models, and personalization systems</li><li>
Develop machine learning models, perform data preprocessing, and deploy production-ready models using Python frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>
Write clean, modular, and scalable code using engineering best practices (SOLID principles, Clean Architecture)</li><li>
Build and manage APIs and microservices for AI functionality using Flask, FastAPI, or Node.js</li><li>
Work closely with UX/UI and product teams to convert insights into intelligent user experiences</li><li>
Conduct model performance optimization, A/B testing, and evaluation for real-world accuracy and reliability</li><li>
Integrate AI systems with cloud infrastructure (AWS, GCP, or Azure) ensuring compliance, governance, and security standards</li><li>
Participate in code reviews, peer-learning sessions, and agile ceremonies such as scrums and sprint reviews</li><li>
Stay updated with emerging AI, ML, GenAI, and automation trends to propose innovative solutions</li><li>
Demonstrate Behaviors &mdash; Be Respectful, Keep Promises, Always Explore, Create Together &mdash; in daily work practices</li></ul><h2 class="jobSectionHeader">
Direct Reports</h2><ul><li>
None</li></ul><h2 class="jobSectionHeader">
Role Relationships</h2><h3 class="jobSectionHeader">
Internal</h3><ul><li>
IT Development</li><li>
Information Security</li><li>
Operations</li><li>
Internal Audit</li></ul><h3 class="jobSectionHeader">
External</h3><ul><li>
Vendors</li></ul><h2 class="jobSectionHeader">
Knowledge &amp; Experience</h2><h3 class="jobSectionHeader">
Education</h3><ul><li>
BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field</li></ul><h3 class="jobSectionHeader">
Experience</h3><ul><li>
3+ years of software development experience</li><li>
Proven experience in AI/ML projects</li><li>
Hands-on experience with mobile development (Android/iOS), Python engineering, and web technologies</li></ul><h2 class="jobSectionHeader">
Competencies</h2><h3 class="jobSectionHeader">
AI / ML</h3><ul><li>
Flowise, PyTorch, OpenAI APIs, N8N</li><li>
Machine Learning &amp; Applied AI development</li><li>
Data preprocessing, model training, deployment</li></ul><h3 class="jobSectionHeader">
Programming</h3><ul><li>
Python</li><li>
Swift / Kotlin</li><li>
JavaScript / TypeScript</li></ul><h3 class="jobSectionHeader">
Cloud &amp; DevOps</h3><ul><li>
AWS / GCP</li><li>
Docker, CI/CD pipelines</li></ul><h3 class="jobSectionHeader">
Version Control</h3><ul><li>
Git</li></ul><h3 class="jobSectionHeader">
Data Engineering</h3><ul><li>
Pandas, NumPy, SQL</li><li>
ETL processes &amp; data pipelines</li></ul><h3 class="jobSectionHeader">
Mobile &amp; Web Development</h3><ul><li>
Android Studio</li><li>
Xcode</li><li>
React / Next.js</li><li>
Flutter (optional)</li></ul><h3 class="jobSectionHeader">
API &amp; Backend</h3><ul><li>
REST, GraphQL</li><li>
Flask / FastAPI</li><li>
Node.js</li></ul><h3 class="jobSectionHeader">
Security &amp; Compliance</h3><ul><li>
Secure coding standards</li><li>
Data privacy and compliance frameworks</li></ul>
UUnhBo8fyy</div>

AI Engineering Lead

Solochoicez

<div><div><div><div>Posted date</div> <div>28th January, 2026</div> <div>Last date to apply</div> <div>28th February, 2026</div>
</div> 
<div><div>Country</div> <div>Pakistan</div> <div>Locations</div> <div>Khyber Pakhtunkhwa
</div></div> 
<div><div>Category</div> <div>Data Science
</div></div> 
<div><div>Type</div> <div>Full Time</div></div></div></div><div></div>
 <div>Job Summary

We are seeking an experienced Data Scientist to join our analytics team. The ideal candidate will apply data science methodologies, build predictive models, and deliver actionable insights to support key business decisions, advance data driven solutions, and enhance the impact of the company&rsquo;s technology offerings.

Responsibilities
<ul><li>Collect, clean, and preprocess large, complex datasets from multiple sources.</li>
<li>Develop and deploy machine learning models and predictive analytics solutions aligned with business goals.</li>
<li>Design and implement statistical analysis frameworks and experimental models to measure trends and patterns.</li>
<li>Build dashboards, reports, and visualizations to communicate insights to business stakeholders.</li>
<li>Collaborate with cross‑functional teams including engineering, product, and consulting departments to operationalize analytics solutions.</li>
<li>Support cloud‑based data infrastructure and workflows (AWS, Azure, or Google Cloud).</li>
<li>Ensure data quality, governance, and documentation across analytics projects.</li>
</ul>Requirements
<ul><li>Minimum 4 years of professional experience as a Data Scientist or in a related analytics role.</li>
<li>16 years of formal education in Computer Science, IT, Software Engineering, or a related quantitative discipline.</li>
<li>Solid proficiency in Python and relevant data science libraries.</li>
<li>Experience with SQL and working with relational databases.</li>
<li>Practical experience with machine learning techniques, feature engineering, and model evaluation.</li>
<li>Strong visualization skills using tools like Tableau, Power BI, matplotlib, or similar.</li>
<li>Understanding of statistical analysis and hypothesis testing.</li>
<li>Ability to translate complex data insights into clear recommendations for technical and non‑technical stakeholders.</li>
<li>Effective communication, problem‑solving, and teamwork skills.</li>
<li>Experience with cloud platforms (AWS, Azure, or GCP) and scalable data pipelines is a plus.</li>
<li>Certifications in data science or machine learning</li></ul></div>

Data Scientist

Quality Resource Marketing

We are seeking a highly skilled and motivated AI Software Developer to join our team. In this role, you will be at the forefront of designing, building, and deploying AI-driven applications and systems. You will work on a variety of projects, from developing machine learning models to integrating them into scalable software architectures.Responsibilities<ul><li>Design, develop, and deploy AI and machine learning models, algorithms, and applications.</li><li>Write clean, efficient, and well-documented code for AI-driven software systems.</li><li>Collaborate with data scientists, data engineers, and other software developers to integrate AI models into production environments.</li><li>Perform data preprocessing, feature engineering, and model training.</li><li>Optimize AI models for performance, scalability, and efficiency.</li><li>Stay current with the latest advancements in AI, machine learning, and deep learning.</li><li>Participate in code reviews and contribute to the overall software development lifecycle.</li><li>Troubleshoot and debug AI models and software systems.</li></ul>Required Skills<ul><li>Strong programming skills: Proficiency in Python is essential.</li><li>Experience with AI/ML frameworks: Solid experience with at least one major framework, such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Understanding of core AI/ML concepts: Knowledge of algorithms, data structures, and principles of machine learning, deep learning, and neural networks.</li><li>Experience with data manipulation: Proficiency with libraries like Pandas and NumPy for data handling.</li><li>Familiarity with software development best practices: Experience with Git for version control and agile methodologies.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and collaboration skills.</li></ul>Preferred Skills (Nice to Have)<ul><li>Experience with natural language processing (NLP), computer vision, or other specialized AI fields.</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) and their AI/ML services.</li><li>Experience with MLOps and CI/CD pipelines for deploying machine learning models.</li><li>Experience with big data technologies like Spark or Hadoop.</li><li>A portfolio of AI projects or a GitHub profile.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: In person

Software Developer - Python

ImagineArt

<div><h1 class="jobSectionHeader">Principal AI Engineer (LLM Agents &amp; Orchestration)</h1> 
Role Title: Principal AI Engineer (LLM Agents &amp; Orchestration) Team: Chatly Engineering Focus: Building Autonomous &quot;Super Agents&quot;<h2 class="jobSectionHeader"> 
Who We Are</h2>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.<h3 class="jobSectionHeader">
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.</h3><h3 class="jobSectionHeader"> 

About the Role</h3>
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new &quot;Super Agent&quot; within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.</li><li>
Integration Ecosystem: Build the &quot;hands&quot; of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.</li><li>
Latency &amp; Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).</li><li>
Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.</li><li>
Evaluation &amp; Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3><ul><li>
Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).</li><li>
Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use.</li><li>
Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.</li><li>
System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts.</li></ul>
Why Join Us?<ul><li>
Opportunity to work on innovative AI products like Chatly and Imagine, shaping the future of creativity and user interaction.</li><li>
Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</li><li>
Competitive compensation and benefits.</li><li>
A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</li></ul></div>

Principal AI Engineer (LLM Agents & Orchestration)

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 role:
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
Responsibilities<ul><li>
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx</li><li>
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments</li><li>
Integrate AI features into existing products, enriching them with the latest advancements in machine learning</li></ul><ul><li>
Excellent programming skills in C++, experience in Javascript is a bonus</li><li>
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures</li><li>
Good understanding of deep learning concepts and model architectures</li><li>
Experience with transformers, LLMs, Diffusion models</li><li>
Demonstrated ability to rapidly assimilate new technologies and techniques</li><li>
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D</li></ul>
Bonus points if:<ul><li>
You have experience with Javascript/Typescript</li><li>
You understand the difficulties, nuances and importance of p2p technology</li><li>
You have experience with any of Vulkan, Metal and OpenCL</li><li>
You have productionized models</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>

Senior AI Inference Engineer (100% Remote)

<div>Job Title: Agentic AI Engineer 
Location: Islamabad, Pakistan (Onsite) 
Experience: 7&ndash;8 Years 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Job Overview</h3>
We are looking for a highly skilled Agentic AI Engineer to design, build, and deploy intelligent AI agents capable of autonomous decision-making, workflow execution, and tool integration. The ideal candidate will have strong experience in AI/ML systems, LLM-based applications, and building multi-agent or autonomous AI solutions that solve real business problems.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and develop agentic AI systems that can plan, reason, and execute tasks autonomously.</li><li>
Build and optimize applications using Large Language Models (LLMs) and advanced AI frameworks.</li><li>
Develop multi-agent architectures for complex workflows and decision-making processes.</li><li>
Integrate AI agents with enterprise tools, APIs, databases, and internal platforms.</li><li>
Implement memory, planning, retrieval, and tool-use capabilities in AI agents.</li><li>
Work closely with product, engineering, and business teams to identify AI automation opportunities.</li><li>
Ensure scalability, security, and performance of AI systems in production.</li><li>
Continuously evaluate new AI frameworks, models, and techniques to improve solutions.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
7&ndash;8 years of experience in AI/ML, software engineering, or applied AI development.</li><li>
Strong programming experience in Python.</li><li>
Hands-on experience with LLMs and AI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.</li><li>
Experience with RAG architectures, vector databases, and embeddings.</li><li>
Familiarity with OpenAI, open-source LLMs, or similar AI model ecosystems.</li><li>
Experience building AI agents, automation workflows, or intelligent assistants.</li><li>
Strong understanding of APIs, microservices, and cloud platforms (AWS, GCP, or Azure).</li><li>
Experience with Docker, CI/CD, and scalable system design.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with multi-agent systems and autonomous AI workflows.</li><li>
Knowledge of prompt engineering, model evaluation, and AI safety.</li><li>
Familiarity with vector databases such as Pinecone, Weaviate, or FAISS.</li><li>
Experience working in AI startups or advanced R&amp;D environments.</li><li>
Background in Computer Science, AI, Data Science, or related field.</li></ul><h3 class="jobSectionHeader">
What We Offer</h3><ul><li>
Opportunity to work on cutting-edge AI and autonomous systems.</li><li>
Competitive salary and growth opportunities.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Exposure to global AI projects and modern technology stack.</li></ul>
Hr0rUNuBPn</div>

Agentic AI Engineer

Explore 105+ Machine learning engineer in Islamabad this February. Find roles across top companies and apply now to boost your career.