Hire Expert PyTorch Developers
Techamana connects you with the World's Best 5% of PyTorch talent. Work with elite PyTorch developers who have passed our rigorous vetting process, ensuring you get the best expertise for your groundbreaking projects.
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Featured PyTorch Developers
Tianchang Liu
Senior Machine Learning Engineer with 10+ years of experience building and deploying scalable AI systems across computer vision, NLP, generative AI, and MLOps. I've led end-to-end ML projects from real-time edge inference to LLM-powered applications, with a focus on performance, reliability, and impact. My work spans startups and enterprises, including Mashgin, Gensyn, Voyage, and Amazon. Skilled in Python, Go, Kubernetes, TensorRT, DeepSpeed, and cloud infrastructure, I specialize in shipping production-grade AI that solves real-world problems.
Ken Anderson
Results-driven AI/ML Data Scientist and Full Stack Engineer with over 12 years of experience delivering scalable, production-ready machine learning systems across healthcare, fintech, and enterprise AI platforms. Expert in developing and deploying advanced models for predictive analytics, natural language processing (NLP), and large language models (LLMs), including GPT-4, BERT, and domain-specific transformers. Proven track record building and operationalizing semantic search systems, real-time analytics pipelines, and cloud-native ML infrastructure using tools such as Apache Spark, Kafka, Airflow, Docker, and Kubernetes. Specialized in building MLOps platforms using MLflow, Azure ML, and SageMaker, with strong command over multi-cloud environments (AWS, Azure, GCP). Adept in vector data
Emanuel Ceballos
I'm a Senior Python Engineer with over 10 years of experience building AI-driven systems, full-stack applications, and scalable APIs. I specialize in machine learning, NLP, computer vision, and LLMs, and I’ve deployed production-ready solutions using Python, FastAPI, TensorFlow, PyTorch, and Docker. I’m passionate about turning complex problems into clean, reliable software and thrive in remote, collaborative environments.
Emrah
Highly accomplished Senior AI/ML Data Scientist with over a decade of expertise in developing, optimizing, and deploying sophisticated machine learning models, deep learning frameworks, and AI-driven solutions. Proficient in designing and implementing advanced predictive analytics, large-scale natural language processing (NLP) architectures, and state-of-the-art computer vision applications. Extensive experience in Python programming, leveraging frameworks such as TensorFlow, PyTorch, Scikit-learn, FastAPI, and Flask for end-to-end AI model development and deployment. Demonstrated expertise in MLOps, CI/CD pipelines, containerization, and cloud-based deployments using AWS, Azure, GCP, Docker, Kubernetes, MLflow, Terraform, and Snowflake.
Muhammad A khan
Experienced Senior Full Stack Developer with over 9 years of expertise in building and deploying scalable web applications using the MERN stack (MongoDB, Express, React, Node.js). Demonstrates a strong track record of delivering high-quality, efficient solutions while significantly enhancing user experiences and application performance. Successfully led an AI-powered research project, earning "gold standard" recognition from stakeholders. Proficient in Agile practices and fostering collaboration across cross-functional teams.
Selvakumar Ulaganathan
I’m an AI/ML Consultant with 10+ years of experience delivering end-to-end machine learning solutions across sectors like pharma, energy, insurance, and manufacturing. I specialize in building scalable AI systems including GenAI, computer vision, and edge AI using tools like PyTorch, TensorFlow, Azure, and AWS. As Founder of MLGlow, I’ve led diverse AI projects from R&D to production, helping clients solve real-world problems with cutting-edge technologies. I thrive in fast-paced, collaborative environments focused on innovation and impact.
Haidi zedan
I'm a multidisciplinary creative with professional experience in graphic design, programming, cybersecurity, and digital marketing since 2018. I specialize in building modern, 3D web and app interfaces using tools like Three.js, GSAP, and React. I also develop AI-powered applications and interactive games with a focus on user experience and innovation. Passionate about blending technology and design, I enjoy working on unique, challenging projects that push creative boundaries.
James Irei
Experienced XR developer and engineering lead with a strong background in building immersive, cross-platform applications using Unity and C#. Proven track record delivering real-time 3D experiences, spatial computing solutions, and point cloud-based systems. Adept at leading multidisciplinary teams, rapidly prototyping and refining production-ready features, and bridging technical and non-technical stakeholders. Passionate about creating intuitive, high-impact XR solutions that blend innovation with usability.
Adegoke Muideen Adeniyi
I am Innovative Machine Learning Engineer with 5+ years of experience, including 2+ years of professional expertise in NLP and conversational AI frameworks. Skilled in Machine learning, Deep-learning, LLM/GenAI technologies, cloud platforms, and enterprise-grade software solutions. Proven track record in developing and deploying AI pipelines, optimising data workflows, and delivering actionable insights. Seeking to leverage expertise in machine learning and AI to drive technological advancements and solve complex business challenges.
Ahmed Wahid
I'm a seasoned software engineer with 5+ years of experience developing data-driven applications and machine learning systems. My background spans both research and production environments, where I've designed and implemented solutions for natural language processing, recommendation systems, and data analysis pipelines. I excel at translating complex requirements into elegant solutions, optimizing performance, and ensuring production reliability. My experience includes working with Python, TensorFlow, PyTorch, and deploying models at scale using cloud services. I'm particularly skilled at fine-tuning models for specific domains and building robust data processing pipelines.
Techamana's talent pool features an extensive network of experienced PyTorch developers ready to tackle your projects.
Begin HiringHow Techamana Vets Expert PyTorch Talent
At Techamana, we maintain the highest standards in developer selection. Our PyTorch experts undergo a comprehensive 4-step vetting process that evaluates technical skills, problem-solving abilities, communication skills, and team and culture fit. Only the top 5% of applicants pass our rigorous screening, ensuring you work with exceptional talent who can deliver outstanding results for your projects.
Technical Assessment
Rigorous coding challenges and problem-solving tests to evaluate PyTorch proficiency and best practices.
Project Review
Thorough examination of past projects and contributions to open-source PyTorch repositories to assess real- world experience.
Video Responses
Video responses for open-ended questions to assess problem-solving ability, communication skills, and team and culture fitment.
What to Look for When Hiring a PyTorch Developer
When hiring a PyTorch engineer, prioritize dynamic graph modeling and custom architectures (transformers, GANs).
Candidates should optimize training loops with DataLoader, use mixed precision, debug with TorchScript, and deploy with TorchServe.
Learn how PyTorch is used in modern applications
Industry insights and best practices
PyTorch is an open-source machine learning framework known for its dynamic computation graph and ease of use. It's widely used for research and development in deep learning.
Deep Learning
PyTorch is widely used for building and training deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
Natural Language Processing
PyTorch is used for building natural language processing applications, such as text classification, machine translation, and sentiment analysis.
Computer Vision
PyTorch is used for building computer vision applications, such as image classification, object detection, and image segmentation.
Reinforcement Learning
PyTorch is used for building reinforcement learning agents, which learn to make decisions through trial and error.
The Techamana Advantage
Majority of our clients choose to continue working with our talent after their initial project
Our screening and matching process ensures exceptional talent are matched to your precise needs.
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