ml engineer

Quantum HR

<div>About Us
Quantum HR is a premier human resources consulting firm dedicated to connecting exceptional talent with leading organizations worldwide. We specialize in providing bespoke recruitment solutions, leveraging deep industry insights and a global network to help companies build high-performing teams by matching them with professionals who truly fit their needs and culture. 
 
About the Role
We are hiring a Machine Learning Engineer to design, build, and deploy advanced ML models powering Digified&rsquo;s digital identity verification and contracting platforms. 
You will work on real-world, high-impact problems in computer vision, biometrics, OCR, fraud detection, and NLP, delivering production-grade ML systems integrated into APIs and enterprise workflows.
This is a hands-on engineering role focused on taking models from research to scalable, secure, and compliant production environments. 
 
Key Responsibilities 
<ul><li>
Develop and optimize ML models for face recognition, liveness detection, OCR, fraud detection, and NLP-based document understanding
</li><li>Build and maintain production-grade ML pipelines and APIs for real-time inference
</li><li>Deploy and scale models using MLOps best practices (CI/CD, versioning, monitoring, retraining)
</li><li>Optimize model performance for latency, accuracy, and reliability in production environments
</li><li>Design and manage high-quality datasets with proper annotation and data governance
</li><li>Monitor model performance (drift, accuracy, false acceptance/rejection rates)
</li><li>Collaborate with backend, mobile, DevOps, and product teams to integrate ML systems
</li><li>Ensure secure, compliant ML practices aligned with regulatory and data privacy standards
</li><li>Conduct research and propose improvements in model architectures and system performance</li></ul> 

Requirements 
<ul><li>
3&ndash;7 years of experience in Machine Learning, Deep Learning, or Computer Vision
</li><li>Strong Python programming skills
</li><li>Experience with PyTorch and/or TensorFlow/Keras
</li><li>Strong background in at least one of: Computer Vision, NLP, or Fraud Detection
</li><li>Experience with ML deployment (FastAPI, Flask, Docker, Kubernetes)
</li><li>Understanding of MLOps principles (model versioning, monitoring, retraining pipelines)
</li><li>Solid foundation in mathematics (linear algebra, probability, statistics)
</li><li>Experience working with production ML systems 
 
Nice to Have 
</li><li>
Experience with face recognition, OCR, or liveness detection systems
</li><li>Exposure to Vision Transformers, Siamese Networks, CRNNs, or LLM-based systems
</li><li>Experience with distributed training or GPU acceleration
</li><li>Familiarity with MLflow or experiment tracking tools
</li><li>Knowledge of identity standards (FIDO, NIST 800-63-3)
</li><li>Background in fintech, regtech, or anti-fraud systems
</li><li>Experience with trust &amp; safety or government-grade systems</li></ul> 

Benefits 
<ul><li>
Work on cutting-edge ML systems in digital identity and fraud prevention
</li><li>High-impact role with production ownership from research to deployment
</li><li>Exposure to enterprise-grade AI systems used in regulated environments
</li><li>Strong engineering culture with cross-functional collaboration
</li><li>Opportunity to work on advanced CV/NLP/biometric systems at scale
</li><li>Career growth in a fast-scaling AI-driven product company</li></ul></div>

ML Engineer

Catalyst Labs

<div>
 
 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
 </li>
 <li>
 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
 </li>
 <li>
 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
 </li>
 <li>
 Build agents capable of operating natively on real-world audio inputs.
 </li>
 <li>
 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
 </li>
 <li>
 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
 </li>
 <li>
 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
 </li>
 <li>
 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 </li>
 <li>
 1-6 years of professional experience in ML engineering.
 </li>
 <li>
 Strong programming skills in Python (TypeScript experience is a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Familiarity with cloud environments and infrastructure (preferably AWS).
 </li>
 <li>
 Strong understanding of data pipeline design, real-time inference, and model monitoring.
 </li>
 <li>
 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
 </li>
 </ul>
 
 Core Experience
 
 
 
 <ul>
 <li>
 Proven experience building and deploying ML models into production environments.
 </li>
 <li>
 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
 </li>
 <li>
 Experience with audio-focused ML projects or similar domains involving unstructured data.
 </li>
 <li>
 Proficiency in building scalable data pipelines for model training and evaluation.
 </li>
 <li>
 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
 </li>
 <li>
 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
 </li>
 </ul>
</div>

LimeoX

We&rsquo;re Hiring: AI/ML Engineer On-Site (Sargodha)We are looking for a highly skilled and independent AI/ML Engineer to join our growing team. You&rsquo;ll work on cutting-edge projects involving Large Language Models (LLMs), custom weightage models, clustering &amp; classification, automation, and AI-powered workflows.This role offers technical direction and project requirements, but you&rsquo;ll have the freedom to design and implement innovative solutions from scratch. If you enjoy building and experimenting with models, researching new approaches, and turning ideas into production-ready tools, this is the place for you.Key Responsibilities<ul><li>Build and fine-tune weightage models and LLMs to solve real-world business problems.</li><li>Develop custom prediction models and conduct comparative research to determine the most effective approach.</li><li>Perform AI/ML research and translate innovative concepts into production-ready solutions.</li><li>Design and implement AI agents and automations, including workflows integrated with Google Sheets/Docs via Apps Script.</li><li>Apply clustering and classification techniques to identify patterns, generate insights, and support decision-making.</li><li>Develop, optimize, and maintain data pipelines and system integrations for model training and deployment.</li><li>Collect, scrape, and preprocess data for machine learning training, evaluation, and analysis.</li><li>Deploy, monitor, and continuously retrain models to ensure optimal performance over time.</li></ul>Requirements<ul><li>Proven experience as an AI/ML Engineer or similar role.</li><li>Strong Python skills with hands-on experience in ML frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Experience with Weightage-based algorithms and LLM fine-tuning.</li><li>Solid understanding of clustering and classification techniques.</li><li>Proficiency in automation via Google Apps Script.</li><li>Knowledge of web scraping tools (e.g., Selenium, Playwright).</li><li>Experience with databases (PostgreSQL, MySQL, MongoDB).</li><li>Familiarity with asynchronous programming and multi-threading.</li><li>Strong research skills and ability to work independently.</li></ul>Preferred Qualifications<ul><li>Degree in Computer Science, AI, Data Science, or a related field.</li><li>Experience with cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure ML).</li><li>Contributions to open-source AI projects.</li><li>Knowledge of MLOps practices.</li></ul>Salary &amp; Perks<ul><li>Starting salary: 100,000 &ndash; 150,000 PKR (depending on skills &amp; experience).</li><li>Accommodation</li><li>Lunch</li><li>Travel Allowance</li><li>Provident Fund</li></ul>Ready to innovate with AI? Apply now and help shape the future of intelligent automation at LimeoX.Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthAbility to commute/relocate:<ul><li>Sargodha: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>AI/ML: 2 years (Preferred)</li><li>Automation: 1 year (Preferred)</li></ul>Work Location: In person

AI/ML Engineer

LimeoX LLC

<div>
 
 
 We&rsquo;re Hiring: AI/ML Engineer On-Site (Sargodha)
 
 
 
 We are looking for a
 
 highly skilled and independent AI/ML Engineer
 
 to join our growing team. You&rsquo;ll work on cutting-edge projects involving
 
 Large Language Models (LLMs), custom weightage models, clustering &amp; classification, automation, and AI-powered workflows
 
 .
 
 
 
 
 
 This role offers technical direction and project requirements, but you&rsquo;ll have the freedom to design and implement innovative solutions from scratch. If you enjoy building and experimenting with models, researching new approaches, and turning ideas into production-ready tools, this is the place for you.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and fine-tune models and LLMs to solve real-world business problems.
 </li>
 <li>
 Develop custom prediction models and conduct comparative research to determine the most effective approach.
 </li>
 <li>
 Perform AI/ML research and translate innovative concepts into production-ready solutions.
 </li>
 <li>
 Design and implement AI agents and automations, including workflows integrated with Google Sheets/Docs via Apps Script.
 </li>
 <li>
 Apply clustering and classification techniques to identify patterns, generate insights, and support decision-making.
 </li>
 <li>
 Develop, optimize, and maintain data pipelines and system integrations for model training and deployment.
 </li>
 <li>
 Collect, scrape, and preprocess data for machine learning training, evaluation, and analysis.
 </li>
 <li>
 Deploy, monitor, and continuously retrain models to ensure optimal performance over time.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 1-2 years of experience as an
 
 AI/ML Engineer
 
 or similar role.
 </li>
 <li>
 Strong Python skills with hands-on experience in
 
 ML frameworks
 
 (TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Experience with
 
 Weightage-based algorithms
 
 and
 
 LLM fine-tuning
 
 .
 </li>
 <li>
 Solid understanding of
 
 clustering
 
 and
 
 classification
 
 techniques.
 </li>
 <li>
 Proficiency in
 
 automation via Google Apps Script
 
 .
 </li>
 <li>
 Knowledge of
 
 web scraping
 
 tools (e.g., Selenium, Playwright).
 </li>
 <li>
 Experience with databases (PostgreSQL, MySQL, MongoDB).
 </li>
 <li>
 Familiarity with
 
 asynchronous programming
 
 and multi-threading.
 </li>
 <li>
 Strong research skills and ability to work independently.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Degree in
 
 Computer Science, AI, Data Science, or a related field
 
 .
 </li>
 <li>
 Experience with
 
 cloud AI platforms
 
 (AWS SageMaker, Google Vertex AI, Azure ML).
 </li>
 <li>
 Contributions to
 
 open-source AI projects
 
 .
 </li>
 <li>
 Knowledge of
 
 MLOps practices
 
 .
 </li>
 </ul>
 
 
 
 
 
 Salary &amp; Perks
 
 
 <ul>
 <li>
 
 Starting salary:
 
 100,000 &ndash; 150,000 PKR (depending on skills &amp; experience).
 </li>
 <li>
 
 Accommodation
 
 </li>
 <li>
 
 Lunch
 
 </li>
 <li>
 
 Travel Allowance
 
 </li>
 <li>
 
 Provident Fund
 
 </li>
 </ul>
 
 
 
 ﻿
 
 
 
 
 
 Ready to innovate with AI?
 
 Apply now and help shape the future of intelligent automation at LimeoX.
 
 <ul>
 <li>
 
 Note: This is an on-site position. Please apply only if you can relocate to the job location and are not seeking remote work options.
 
 </li>
 </ul>
</div>

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