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

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>

AI/ML Engineer

Eames Consulting

<div>
 
 
 AI/ML Engineer (Contract)
 
 
 
 
 Location:
 
 Florida (Required) -
 
 No Relocation
 
 
 
 
 Duration:
 
 6 Months (with possible extension)
 
 
 
 
 
 
 
 
 
 Overview
 
 
 
 We are seeking an experienced AI/ML Engineer to support the design, development, and deployment of scalable machine learning and generative AI solutions. This role will focus on building production-ready models, optimizing data pipelines, and collaborating with cross-functional teams to deliver high-impact AI initiatives.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models and AI solutions in production environments
 </li>
 <li>
 Build and optimize
 
 LLM-based applications
 
 (e.g., RAG pipelines, prompt engineering, agent workflows)
 </li>
 <li>
 Develop and maintain
 
 data pipelines
 
 to support model training, evaluation, and inference
 </li>
 <li>
 Implement
 
 MLOps best practices
 
 , including model versioning, monitoring, and automated retraining
 </li>
 <li>
 Collaborate with data engineers, product managers, and stakeholders to translate business requirements into technical solutions
 </li>
 <li>
 Evaluate model performance and continuously improve accuracy, scalability, and efficiency
 </li>
 <li>
 Ensure compliance with
 
 data governance, security, and responsible AI standards
 
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 6&ndash;7 years of experience in AI/ML engineering, data science, or related field
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 (NumPy, Pandas, Scikit-learn)
 </li>
 <li>
 Hands-on experience with
 
 TensorFlow
 
 or
 
 PyTorch
 
 </li>
 <li>
 Experience building and deploying
 
 LLM-based solutions
 
 (RAG, embeddings, vector databases)
 </li>
 <li>
 Solid understanding of
 
 data engineering concepts
 
 (ETL, data pipelines, distributed processing)
 </li>
 <li>
 Experience with
 
 cloud platforms
 
 (AWS, Azure, or Google Cloud)
 </li>
 <li>
 Familiarity with
 
 MLOps tools
 
 (e.g., MLflow, Airflow, Docker, CI/CD pipelines)
 </li>
 <li>
 Strong problem-solving skills and ability to work independently in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 Databricks
 
 ,
 
 Snowflake
 
 , or similar data platforms
 </li>
 <li>
 Knowledge of
 
 vector databases
 
 (e.g., Pinecone, FAISS, Weaviate)
 </li>
 <li>
 Exposure to
 
 agentic AI frameworks
 
 (e.g., LangChain, LlamaIndex)
 </li>
 <li>
 Experience working in
 
 regulated environments
 
 (finance, healthcare, or government)
 </li>
 <li>
 Familiarity with
 
 AI governance frameworks
 
 (e.g., NIST AI RMF, Responsible AI practices)
 </li>
 </ul>
 
 
</div>

Encora Inc.

<div>
 We are seeking an
 
 AI/ML Engineer &ndash; Agents
 
 to help build the core intelligence layer of our AI-powered MarTech and AdTech platform. This role will focus on designing, developing, and deploying
 
 agentic AI systems
 
 ,
 
 LLM-powered applications
 
 , and
 
 real-time inference pipelines
 
 that drive intelligent automation, personalization, and decision-making at scale.
 
 
 This is a high-impact, hands-on engineering role for someone who thrives in fast-moving environments and wants to help shape next-generation AI products from the ground up.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, or similar.
 </li>
 <li>
 Build and scale LLM/GenAI applications for MarTech and AdTech use cases, including content generation, campaign optimization, audience segmentation, personalization, and workflow automation.
 </li>
 <li>
 Fine-tune and optimize LLMs/SLMs for domain-specific tasks such as classification, extraction, recommendation, and intent understanding.
 </li>
 <li>
 Develop and manage training and inference pipelines for production-scale ML systems.
 </li>
 <li>
 Build scalable infrastructure for real-time and batch inference, experimentation, and deployment.
 </li>
 <li>
 Implement best practices for evaluation, A/B testing, model monitoring, and continuous improvement.
 </li>
 <li>
 Partner closely with product, data, and engineering teams to turn prototypes and research into production-ready AI services.
 </li>
 <li>
 Rapidly prototype and apply emerging research to practical product use cases.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 
 3+ years
 
 of experience in AI/ML engineering, machine learning, or applied NLP roles.
 </li>
 <li>
 Master&rsquo;s degree in Computer Science, Engineering, or a related field required; PhD preferred.
 </li>
 <li>
 Hands-on experience with agent-based AI frameworks such as LangGraph, AutoGen, CrewAI, or similar.
 </li>
 <li>
 Strong expertise in deep learning and natural language processing using frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Experience fine-tuning and deploying foundation models such as LLaMA, Mistral, or similar.
 </li>
 <li>
 Strong experience with Hugging Face, LoRA, PEFT, and modern fine-tuning workflows.
 </li>
 <li>
 Experience with RAG pipelines, vector databases, semantic search, and embedding optimization tools such as FAISS, Pinecone, or PGVector.
 </li>
 <li>
 Experience deploying ML systems in cloud environments such as AWS, GCP, or Azure.
 </li>
 <li>
 Strong software engineering skills in Python, APIs, microservices, and containerized environments such as Docker and Kubernetes.
 </li>
 <li>
 Solid understanding of GPU optimization, distributed training, and inference performance tuning.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in MarTech, AdTech, personalization, targeting, or attribution systems.
 </li>
 <li>
 Experience with real-time decisioning or ad-serving systems.
 </li>
 <li>
 Contributions to open-source AI/LLM frameworks or published research.
 </li>
 <li>
 Prior experience in a startup or high-growth environment.
 </li>
 </ul>
</div>

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

AI/ML Engineer - Remote

YO IT CONSULTING

<div>Job Title: AI/ML Engineer
Job Type: Full-Time
Job Summary:
Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
Key Responsibilities:
<div><ul><li>Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.</li></ul>
<ul><li>Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.</li></ul>
<ul><li>Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.</li></ul>
<ul><li>Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.</li></ul>
<ul><li>Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.</li></ul>
<ul><li>Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).</li></ul>
<ul><li>Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.</li></ul>
</div>Required Skills and Qualifications:
<div><ul><li>Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.</li></ul>
<ul><li>Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.</li></ul>
<ul><li>Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.</li></ul>
<ul><li>Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).</li></ul>
<ul><li>Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.</li></ul>
<ul><li>Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).</li></ul>
<ul><li>Exceptional written and verbal communication skills for effective collaboration and documentation.</li></ul>
</div>Preferred Qualifications:
<div><ul><li>Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.</li></ul>
<ul><li>Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.</li></ul>
<ul><li>Prior exposure to government or highly regulated cloud environments and compliance standards.</li></ul></div></div>

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