Hire the Top 2% of
Remote Scikit-learn Developers
in Pakistan

Mah N.

Vetted Scikit-learn developer in Pakistan (UTC+5)

Experienced Senior Software Engineer with 6 years in designing scalable backend solutions. Proficient in Node.js and Java, with expertise in high-performance APIs and microservices. Passionate about learning and excelling in challenging environments. Strong team player with proven leadership skills.

Muhammad Z.

Vetted Scikit-learn developer in Pakistan (UTC-6)

Driven Full Stack Developer with 8+ years mastering Python (Django, Flask, FastAPI). Developed 10+ large-scale applications, improving API performance by 30% and optimizing cloud deployments with Docker and Kubernetes. Proficient in RESTful/GraphQL APIs, MySQL, PostgreSQL, MongoDB, and CI/CD pipelines. Experienced in healthcare, finance, investment, e-commerce, education, and logistics industries

Haseeb A.

Vetted Scikit-learn developer in Pakistan (UTC+5)

Experienced Senior Full Stack Engineer with 5+ years of experience in Python and Javascript, delivering scalable web applications and optimizing system architecture. Skilled in solving technical challenges and driving innovation. Eager to join a dynamic team to contribute to impactful projects, fostering growth and technological advancement in high-performance environments.

Khawja T.

Vetted Scikit-learn developer in Pakistan (UTC+5)

Senior Software Engineer with over 7 years of expertise in designing, developing, and delivering high-performance software solutions. Proficient in Golang, React, and Python, I have led and contributed to the success of cross-functional teams through the entire software development lifecycle. Known for architecting scalable and robust systems, I bring a deep understanding of backend (Golang, Python) and frontend (React) technologies.

Muhammad O.

Vetted Scikit-learn developer in Pakistan (UTC+5)

I am a Senior Software Engineer with 5+ years of experience providing back- end, architecture design, and software engineering solutions with significant programming languages. Combining excellent analytical skills with an understanding of how to apply scientific libraries and complex mathematical knowledge to products, I am a practical problem-solver who enjoys challenges.

umair Q.

Scikit-learn developer in Pakistan (UTC-5)

Umair is a Senior Software Engineer with over 8 years of experience in the fields of Backend Development, Data Engineering, and Artificial Intelligence as an individual contributor and managing engineering teams. He has a proven track record of creating and implementing cutting-edge technologies, leading teams, and delivering successful projects that have helped companies grow their revenue. Umair has worked with international clients ranging from startups to SMEs with revenue in millions, helping them design layouts, infrastructure, and data pipelines. Several technologies in which he has developed expertise, include but not limited to Python, Django, Flask, Machine Learning, Natural Language Processing, AWS, GCP, REST, DevOps, MySQL, PostgreSQL, Redis, and Celery.

Muhammad A.

Scikit-learn developer in Pakistan (UTC-8)

I have over 7 years of experience as a full-stack developer, specializing in creating innovative and efficient web applications. Throughout my career, I have honed my skills in various programming languages, frameworks, and technologies, enabling me to deliver high-quality solutions across different domains. My passion for technology drives me to continuously learn and stay updated with industry trends, ensuring that I remain at the forefront of web development best practices.

Muhammad M.

Scikit-learn developer in Pakistan (UTC+5)

A highly skilled professional with over 10 years of experience in analyzing, designing, and developing innovative solutions within agile environments. Expert in RDBMS, Python, and its advanced frameworks including Pandas, PySpark, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, OpenCV, and ImageAI, as well as backend web technologies such as Django, Django REST Framework, and FastAPI. Proficient in delivering small to large-scale projects, with a strong focus on machine learning and backend development. Known for thriving in dynamic, fast-paced settings that encourage collaboration and continuous learning, I am passionate about leveraging my expertise to drive impactful results and foster a growth-driven culture.

Irtaqa N.

Scikit-learn developer in Pakistan (UTC+5)

Dynamic and results-oriented Software Engineer with a solid background in Machine Learning. Experienced in developing predictive models and leveraging AI for solving real-world challenges in aviation and traffic management. Proven track record of enhancing operational efficiency and safety through innovative technology solutions. Effective communicator and team player, adept at collaborating with diverse stakeholders to deliver impactful projects.

Umair J.

Scikit-learn developer in Pakistan (UTC+5)

Designed and implemented a Retrieval-Augmented Generation RAG system using Amazon Bedrock, Pinecone, and LangChain, improving data retrieval and contextual AI response for industry documents Created a comprehensive solution for identity graph management and product recommendation using AWS services, including AWS Neptune, AWS Personalize, AWS S3, AWS Glue, AWS API Gateway, AWS Lambda, AWS SageMaker, and AWS CloudWatch Proficient Machine Learning Engineer with hands-on experience in implementing cutting-edge algorithms and optimizations to enhance model performance and inference speed Proven track record in automating industrial processes through deep learning techniques, achieving exceptional accuracy rates even in challenging environments Experienced in curating diverse datasets, fine-tuning models, and implementing MLOps practices to streamline data capture, analysis, and model deployment workflows Proficient in developing real-time microservices systems with low latency and high throughput, employing technologies like Redis, SQLite, Flask, Docker, EKS, and Kubernetes. Skilled in transforming Python stacks into multi-threaded C applications for deployment on embedded and x86-64 devices, demonstrating adaptability across different platforms and architectures Recognized for boosting model accuracy through optimization algorithms such as Quantization, Pruning & Sparsification, and Knowledge Distillation, utilizing tools like Nvidia Tao toolkit Skilled in debugging and troubleshooting critical issues, ensuring smooth CI/CD pipeline operations and high-quality software delivery Experienced in managing and orchestrating containerized applications using EKS and Kubernetes to ensure scalable and reliable machine learning deployments.