Hire Expert TensorFlow Developers
Techamana connects you with the World's Best 5% of TensorFlow talent. Work with elite TensorFlow developers who have passed our rigorous vetting process, ensuring you get the best expertise for your groundbreaking projects.
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Featured TensorFlow Developers
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.
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.
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.
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.
mustafa ozturk
To be one of the best engineers in the field I'm interested in; to provide people with ecological solutions through original projects; and to contribute to the economy of my country through the defence industry and the energy sector. Also, to implement the projects and develop new technologies that I have noticed throughout my life.
Heba Abdelhadi
Data Analyst/Data Scientist with hands-on experience in data preprocessing, visualization, and machine learning. Skilled in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib, and Seaborn. Experienced in regression, classification, clustering, recommendation systems, and deep learning. Applied data science across domains including healthcare, fraud detection, and mobile apps. Strong analytical skills, scientific approach, and a background in chemical engineering.
Shakera Khandaker Sahee
I’m a Data Analyst and Machine Learning enthusiast with 4+ years of experience in data analytics, dashboard development, and database management. Skilled in Python, SQL, Power BI, and machine learning techniques, I’ve worked on real-world projects involving customer segmentation, predictive modeling, and business intelligence. I value clear communication, remote collaboration, and delivering data-driven insights that help clients make smarter decisions.
Techamana's talent pool features an extensive network of experienced TensorFlow developers ready to tackle your projects.
Begin HiringHow Techamana Vets Expert TensorFlow Talent
At Techamana, we maintain the highest standards in developer selection. Our TensorFlow 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 TensorFlow proficiency and best practices.
Project Review
Thorough examination of past projects and contributions to open-source TensorFlow 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 TensorFlow Developer
When hiring a TensorFlow engineer, seek Keras or tf.keras proficiency for deep learning.
Candidates should optimize CNN/RNN architectures, build TFRecords pipelines, leverage GPU acceleration, and deploy models with TF Serving or TF Lite.
Learn how TensorFlow is used in modern applications
Industry insights and best practices
TensorFlow is an open-source machine learning framework used for building and training various machine learning models. It's widely used for deep learning applications.
Deep Learning
TensorFlow is widely used for building and training deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
Computer Vision
TensorFlow is used for building computer vision applications, such as image classification, object detection, and image segmentation.
Natural Language Processing
TensorFlow is used for building natural language processing applications, such as text classification, machine translation, and sentiment analysis.
Time Series Analysis
TensorFlow can be used for time series analysis, such as forecasting and anomaly detection.
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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