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Hi, I'm Junaid Rafique, a Senior AI/ML Engineer with over 8 years of experience building and deploying scalable machine learning and deep learning models. I specialize in end-to-end pipeline development, MLOps automation, and AI solutions involving NLP, computer vision, time-series forecasting, and fraud detection. I love collaborating with teams to create ethical, explainable AI solutions and drive innovation using the latest cloud and big data technologies. I'm passionate about generative AI and leveraging tools like TensorFlow, PyTorch, and LangChain to deliver impactful products. Seeking fully remote opportunities where I can contribute my expertise in building scalable AI systems and make a real-world difference globally.…Hi, I'm Junaid Rafique, a Senior AI/ML Engineer with over 8 years of experience building and deploying scalable machine learning and deep learning models. I specialize in end-to-end pipeline development, MLOps automation, and AI solutions involving NLP, computer vision, time-series forecasting, and fraud detection. I love collaborating with teams to create ethical, explainable AI solutions and drive innovation using the latest cloud and big data technologies. I'm passionate about generative AI and leveraging tools like TensorFlow, PyTorch, and LangChain to deliver impactful products. Seeking fully remote opportunities where I can contribute my expertise in building scalable AI systems and make a real-world difference globally.

Junaid Rafique

Data Scientist, AI Engineer, AI Developer, +2

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Hi, I'm Junaid Rafique, a Senior AI/ML Engineer with over 8 years of experience building and deploying scalable machine learning and deep learning models. I specialize in end-to-end pipeline development, MLOps automation, and AI solutions involving NLP, computer vision, time-series forecasting, and fraud detection. I love collaborating with teams to create ethical, explainable AI solutions and drive innovation using the latest cloud and big data technologies. I'm passionate about generative AI and leveraging tools like TensorFlow, PyTorch, and LangChain to deliver impactful products. Seeking fully remote opportunities where I can contribute my expertise in building scalable AI systems and make a real-world difference globally.…Hi, I'm Junaid Rafique, a Senior AI/ML Engineer with over 8 years of experience building and deploying scalable machine learning and deep learning models. I specialize in end-to-end pipeline development, MLOps automation, and AI solutions involving NLP, computer vision, time-series forecasting, and fraud detection. I love collaborating with teams to create ethical, explainable AI solutions and drive innovation using the latest cloud and big data technologies. I'm passionate about generative AI and leveraging tools like TensorFlow, PyTorch, and LangChain to deliver impactful products. Seeking fully remote opportunities where I can contribute my expertise in building scalable AI systems and make a real-world difference globally.

Available to hire

Hi, I’m Junaid Rafique, a Senior AI/ML Engineer with over 8 years of experience building and deploying scalable machine learning and deep learning models. I specialize in end-to-end pipeline development, MLOps automation, and AI solutions involving NLP, computer vision, time-series forecasting, and fraud detection. I love collaborating with teams to create ethical, explainable AI solutions and drive innovation using the latest cloud and big data technologies.

I’m passionate about generative AI and leveraging tools like TensorFlow, PyTorch, and LangChain to deliver impactful products. Seeking fully remote opportunities where I can contribute my expertise in building scalable AI systems and make a real-world difference globally.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Cachelogic

January 1, 2024 - Present

Built and deployed real-time ML models for classification and forecasting, improving accuracy and operational efficiency across core systems. Led the full ML lifecycle including data preprocessing, feature engineering, model training, tuning, and deployment. Deployed scalable microservices with FastAPI and Docker on AWS and Azure using MLOps best practices. Delivered AI-driven automation solutions via Zapier, scripting complex workflows in Python and JavaScript. Collaborated with cross-functional teams to align ML systems with product goals and client requirements. Created low-code tools and reusable pipelines to boost delivery speed and empower non-technical teams. Improved scalability and performance with MLflow, Spark, Kubernetes, Kafka, Redis, and Celery.

Senior AI Engineer at Devbatch

December 31, 2023 - July 21, 2025

Designed and implemented advanced AI models for NLP, computer vision, and predictive analytics across large-scale applications. Deployed models into production environments, optimizing for speed, scalability, and accuracy. Led integration of AI solutions with product and business teams to align innovations with strategic goals. Provided mentorship and technical leadership to junior engineers. Maintained AI model quality through continuous monitoring and compliance with ethical and regulatory standards. Managed complex data pipelines and preprocessing workflows to support robust model training at scale. Researched and applied cutting-edge AI advancements including generative models LLAMA, Vicuna, NanoGPT, Whisper, and RAG/PEFT techniques.

Data Scientist at PureLogics

April 30, 2020 - July 21, 2025

Developed and deployed predictive models and statistical algorithms supporting business decisions across various domains. Built robust data pipelines for large datasets preparation. Applied NLP and generative AI techniques to extract insights from unstructured data and automate processes. Delivered data visualizations and dashboards for stakeholders. Ensured data quality, compliance, and security. Collaborated cross-functionally to align data science efforts with business goals. Adopted modern tools and MLOps practices to improve deployment efficiency.

Senior AI/ML Engineer at Cachelogic

January 1, 2024 - Present

Built and deployed real-time ML models for classification and forecasting, improving accuracy and operational efficiency across core systems. Led the full ML lifecycle including data preprocessing, feature engineering, model training, tuning, and deployment. Deployed scalable microservices with FastAPI and Docker on AWS and Azure; ensured reliability through MLOps best practices. Delivered AI-driven automation solutions via Zapier, scripting complex workflows in Python and JavaScript. Collaborated with cross-functional teams to align ML systems with product goals and client requirements. Created low-code tools and reusable pipelines to boost delivery speed and empower non-technical teams. Improved scalability and performance with MLflow, Spark, Kubernetes, Kafka, Redis, and Celery.

Senior AI Engineer at Devbatch

December 31, 2023 - August 1, 2025

Designed and implemented advanced AI models for NLP, computer vision, and predictive analytics across large-scale, real-world applications. Deployed models into production environments, optimizing for speed, scalability, and accuracy across diverse systems. Led integration of AI solutions with product teams and business units to align technical innovations with strategic goals. Provided mentorship and technical leadership to junior engineers, promoting best practices in AI development. Maintained AI model quality through continuous monitoring, performance tuning, and compliance with ethical and regulatory standards. Managed complex data pipelines and preprocessing workflows to support robust model training at scale. Actively researched and applied cutting-edge AI advancements, including generative models LLAMA, Vicuna, NanoGPT, Whisper, and RAG/PEFT techniques.

Data Scientist at PureLogics

April 30, 2020 - August 1, 2025

Developed and deployed predictive models and statistical algorithms to support business decisions across various domains. Built robust data pipelines for cleaning, preprocessing, and structuring large datasets for analysis and machine learning. Applied NLP and generative AI techniques to derive insights from unstructured data and automate processes. Delivered clear data visualizations and dashboards to communicate findings to stakeholders. Ensured data quality, compliance, and security across all workflows. Collaborated with cross-functional teams to align data science efforts with business goals. Adopted modern tools and MLOps practices to improve performance and deployment efficiency.