Hire the Top 2% of
Remote Machine Learning Models Developers
in Japan

Aki K.

Machine Learning Models developer in Japan (UTC+9)

I bring over 10 years of experience and deep understanding of AI and data science, having worked across diverse roles and industries, including: * University AI researcher * Senior positions in large corporations developing various state of the art AI products * Freelance AI consultant * AI Startup founder While I’ve been involved in various business aspects of AI products, I’ve maintained a hands-on connection to programming throughout. I have built numerous custom state of the art neural networks processing images, languages, structured or unstructured data.Often, I’ve been the person to kickstart projects from scratch, turning executive ideas into actionable outcomes.

Thomas L.

Vetted Machine Learning Models developer in Japan (UTC+9)

Hello everyone, I have been working in the CS industry for ~10 years. I have mainly been working on back-end and research oriented projects involving image processing. If you are looking for understanding how computers work at a deep level (as far as assembly), or want to know how big tech companies (such as Amazon) scale their projects, then I have knowledge to share with you!

Hitesh K.

Vetted Machine Learning Models developer in Japan (UTC+9)

* Having 8+ Years of extensive experience as a Senior Software Engineer, I have designed, developed, and owned multiple end-to-end projects, mentored junior developers and interns, wrote training materials, managed and optimized AWS infrastructure budgets for my team. * I raise the bar by providing valuable feedback through design/code reviews and sharing software development best practices. I help make and influence decisions regarding the architecture, design, and future vision of my team's software systems. I advise my manager and my colleagues by presenting data and counter-arguments. * Professional experience with the programming languages Python, Typescript and C#. * Professional experience with Django, Flask, Docker, Machine Learning, Deep Learning, Computer Vision, AWS Kinesis Stream, AWS CloudFormation, PyTest, FastAPI, PyTorch, Google Vision API, AWS Lambda, Serverless Architecture, Microservice Implementation using ZUUL and Eureka (Netflix) Framework, and other AWS services and tools. * Experience with building systems using cloud technologies on AWS: EC2, ECS, S3, Redshift, RDS, Lambda, SNS, SQS, CloudFormation, Cloudwatch, Step Functions, IAM, VPC, Kinesis Data Streams, and Quicksight. * Built systems using microservice architectures with serverless designs for large-scale, high throughput, low latency, and fault-tolerant distributed systems. * Setup and evangelized automated integration tests, code review verification workflows, and dependency analysis tools.

Christian S.

Machine Learning Models developer in Japan (UTC+9)

Experienced Machine Learning Engineer with 6 years of expertise in machine learning, deep learning for computer vision, and NLP. Holds a Master's degree in Computer Science. Specializes in crafting custom AI solutions and simplifying complex topics for non-tech clients. Proficient in fundamental ML algorithms such as regression and clustering. Ready to bring your AI ideas to lif

Emmanuel T.

Machine Learning Models developer in Japan (UTC+9)

### Expertise I have a scientific background with a focus on Physics & Chemistry (bachelor level), and Neurosciences (master level) before becoming a Python Developer and Data Scientist. Here are some projects I developed for my customers: * created several custom ChatGPT chatbots to allow users to ask questions about customers' own documents (PDF, website, text, Excel). * used diffusion models like Stable Diffusion or DALL-E to create new images from text instructions or edit existing images (change background, add characters, etc.). * fine-tuned a deep learning model to classify comments automatically as positive or negative. * trained a deep learning model to transcribe handwritten text into excel * gathered data from websites and generated graphs to display information relevant to the customers. * created web applications to allow customers to upload data, process it, and visualize it. ### Technical Stack **Data gathering :** * scraping (beautifulsoup, selenium, scrapy, splash), use of tools facilitating scraping like [zyte.com](http://zyte.com/). Scraped sites: Google, Fnac, Cultura, Amazon etc. * various API calls: google sheet, pipedrive, pubmed etc. **Data processing :** * reading files in different formats: json, csv, text, excel * data cleaning and processing with pandas and numpy * data storage in databases: mongoDB, DocumentDB, PostgreSQL **Data visualization** * Python visualization libraries: matplotlib, seaborn, plotly * dashboard generation with PowerBI (Microsoft) and QuickSight (AWS) **Data analysis, prediction and classification** * use of sklearn and statsmodels to analyze the data * training of pre-trained deep-learning model with tensorflow and pytorch to do sentiment classification (NLP) * use of chatgpt to do Question Answering with a vector database (FAISS, pinecone etc.) **Creation of containerized application (docker)** * creation of API with Flask, FastAPI * application creation with streamlit and Flask, deployment on AWS (lambda, API gateway, S3, SQS) **CI/CD**: gitlab, serverless framework

Kousuke A.

Machine Learning Models developer in Japan (UTC+9)

I am an indie hacker with over 4 years of expertise in developing the machine learning-backed iOS app, Poslog, achieving $3,700+ MRR using technologies like SwiftUI, Firebase, and React. With both an M.S. and a B.S. in Computer Science from the University of Washington, I specialize in machine learning, backed by several publications and patents. Additionally, I have contributed to prominent open-source projects, including TensorFlow. I am actively seeking part-time opportunities to further apply and enhance my skills.

Alan I.

Machine Learning Models developer in Japan (UTC+9)

\- Data Scientist with 4 years of experience, aspiring to transition into a Machine Learning Engineer role. \- Achieved top 0.06% in CodinGame's game AI competition, highlighting strong knowledge and implementation skills in AI, search, and optimization. \- Experienced in handling diverse data types, including time-series, signal processing, NLP, and image recognition. Always keen on addressing customer needs. \- Tech stacks: Python, Pandas, TensorFlow, scikit-learn

Peter B.

Machine Learning Models developer in Japan (UTC+9)

I am a Senior Data Analyst and BI Developer with experience in implementing analytics architectures, ETL processes, machine learning models, and fostering data-driven decision-making across various industries.

Frederico A.

Machine Learning Models developer in Japan (UTC+9)

As a Cloud Architect and Lead Software Engineer, I have over 15 years of experience in designing, developing, testing, and deploying scalable, secure, and efficient cloud-based solutions for various domains and industries. I have strong skills in Helm, Terraform, and GCP/AWS cloud development, Message Queuing in Kafka / Rabbit MQ / IBM MQ, expertise in DB2, Oracle PL\\SQL, MSSQL, MySQL, MariaDB, Snowflake, Mongo DB, GraphQL and Distributed / Clustered / Big Data / Data Lake technologies and cloud services, as well as in Java, C#.NET, Go, Python, PHP and low level programming languages. Most recently, I was involved in Twitter Data Privacy initiative for improving their Data Governance and help Twitter to discover PII in structure and unstructured datasources . I also supported Home Depot on their deployment of OWL / Collibra Data Quality systems in Google Cloud Platform, integrating them with BigId, Collibra Data Governance, and Google BigQuery. I am passionate about delivering high-quality solutions that meet the needs and expectations of my clients and stakeholders.

Yung T.

Machine Learning Models developer in Japan (UTC+9)

- Web Development enthusiast with **5+ years backend** experience for a wide range of projects and industries, including E-Commerce. - Enjoys technical challenges and providing elegant coding solutions.