Hire the Top 2% of
Remote Ai Model Validation Developers

Gilbert P.

Remote Ai model validation developer in the United States (UTC-6)

Solutions-oriented Full-Stack Developer and Data Engineer with 6+ years of experience delivering scalable web apps, building robust APIs, and automating dynamic workflows. Expert in React, Node.js, Apps Script, Python, and Firebase. Demonstrated success transforming complex business processes into efficient systems to reduce operational costs and improve productivity. Passionate about leveraging technology to optimize and simplify complex or repetitive processes.

John N.

Vetted Ai model validation developer in Brazil (UTC-3)

**Senior Software Engineer and architect with over 9 years of experience composing a rich blend of experience across unique tech environments including YC startups. Specializing in AI and machine learning innovations.** Proficient in JavaScript/TypeScript, Python, ReactJS, and NodeJS and AI integrations and tools. Played a pivotal role in dozens of projects including a major integration project with Polish company Comarch, building a loyalty program for an audience of over 10 million users. Orchestrated backend architecture revamps, reducing fraud by 80% and boosting performance metrics. Proven leadership and cross-functional abilities, increasing team engagement in every project collaborated.

Manimaran P.

Vetted Ai model validation developer in India (UTC+6)

I am a passionate Data Scientist / Machine Learning Engineer (MLE) with 7+ years of experience building projects involving Data Analysis, Optical Character Recognition, Image processing, Deep Learning, Natural Language Processing, Computer Vision and Generative AI Visit my website ([mani2106.github.io](http://mani2106.github.io/)) for more of my work,

Enzo R.

Remote Ai model validation developer in the United States (UTC-4)

Results-driven Data Scientist with over 3 years of experience in functional and technical analysis, design, and deployment of systems and process solutions within the banking industry, sports industry and cyber security. Expertise in leveraging data to uncover actionable insights and optimize business processes. Proficient in Python, SQL, and R, with hands-on experience in building business intelligence dashboards using Tableau and Power BI. Adept at collaborating with cross-functional teams to deliver projects on time and within budget.

nilesh M.

Vetted Ai model validation developer in India (UTC-7)

I am an accomplished engineering leader with 20+ years in Fintech, Travel, and e-Commerce. I excel in cross-cultural team leadership, rapid product launches, and scaling for hyper-growth. My career spans pivotal roles at ThoughtWorks, Cleartrip, SAP-Ariba, and Simpl. I lead strategic roadmaps and cloud-native solutions at Simpl and Cleartrip, specializing in real-time data processing and machine learning. At Simpl, I reduced processing times to 60 milliseconds, boosting user approval and TPV. At Cleartrip, I enhanced a data platform, increasing conversions by 0.75% and implementing advanced analytics. I optimized AWS costs by 13%, improved search efficiency by 80%, and managed a monitoring system handling millions of documents with 15-millisecond latency. I also streamlined Cleartrip’s release cycles to weekly, implementing agile CI/CD practices with a 15-minute build cycle. I thrive on designing and architecting platforms, solutions, and productivity tools. My journey into distributed systems since 2015 has fueled my curiosity and love for exploring white papers and books on the subject. I enjoy programming, problem-solving, and collaborating with like-minded individuals. Deeply engaged in the tech community, I attend meet-ups to discuss cutting-edge topics in distributed systems and language advancements, while currently focusing on mastering MLOps principles for deploying machine learning models effectively. I have extensive SaaS product experience, contributing to Mingle, an agile project management tool, and Twist, a BDD test automation tool, at ThoughtWorks Studios. At SAP, I developed SAP Logistics Business Network and SAP Business Network Freight Collaboration, leading the engineering team to design scalable features for intercompany logistics collaboration, optimize cloud deployment for global accessibility, and enhance the user interface for managing logistics operations. Beyond work commitments, I find joy in photography, birdwatching, swimming, cycling, yoga, and bodyweight exercises. I am also an enthusiastic trekker, having explored extensive regions of the Western Ghats. Reach out to me to explore consulting opportunities, discuss engineering challenges, or exchange insights on technology and entrepreneurship. I'm open to talking about; - Hiring and Building Product Engineering Teams - Provided mentorship to build high-quality engineering teams for product companies, fostering growth and development within the team. - Product Development - Data Engineering Platform and MLOps capabilities - Strategic Leadership

Yakov P.

Remote Ai model validation developer in the United States (UTC-5)

Machine Learning Engineer. Data Scientist. Technical Product Lead. Mentor.

akash S.

Vetted Ai model validation developer in the United States (UTC-4)

Hello! I'm Akash Saurabh, a data-driven Data Scientist with 10 years of experience in machine learning, predictive analytics, and AI-driven automation. Proven expertise in building scalable ML models, time-series forecasting, NLP, and deep learning to extract insights and drive business impact. Strong background in data engineering, statistical modeling, and MLOps, ensuring seamless model deployment and operationalization. Adept at leveraging LLMs, fine-tuning models like LLaMA2 with LoRA, and implementing RAG-based AI solutions for decision intelligence. Experienced in Python, SQL, PySpark, TensorFlow, and cloud platforms (AWS, Azure, GCP), with a track record of deploying AI/ML solutions in supply chain, finance, and enterprise automation. WHAT I DO BEST: - Predictive Analytics & Forecasting: Develop and deploy machine learning models for demand forecasting, risk assessment, and anomaly detection. - Data Engineering & Model Deployment: Build ETL pipelines, automate AI workflows, and optimize MLOps processes using Databricks, Snowflake, and Dataiku. - Business Intelligence & Decision Science: Translate complex data into actionable insights, empowering organizations to make data-driven decisions. 💡 Passionate about leveraging data science and AI to solve real-world challenges, I thrive on transforming data into impact. Let’s connect and discuss data science, AI solutions, and business intelligence! 🚀 Beyond work, I enjoy traveling, meeting new people, and cooking. I'm also a trained flute player and am currently exploring standup comedy. Machine Learning : Data Mining, Data Visualization, Machine Learning, Predictive Modeling, Predictive Analysis, Pattern Detection, NLP, Time Series Forecasting, Decision Tree, Random Forest, RNN, CNN, XGBoost, GAN, BERT, Transformer, Regression, Data Analysis, Numerical Linear Algebra, Dimension Reduction  Programming Languages :  Python, SQL, R, Shell Script, Scala, Java, C++  Version Control System :  GitHub, SVN, Jira  CI/CD : Jenkins, Octopus  Project Management/ ITSM: JIRA, ServiceNow   Big Data:  Snowflake, BigQuery, Hadoop, Hive, MongoDB  Visualization Tools: Power BI, Power App, Tableau  Cloud Technology :  GCP, AWS, Microsoft Azure Databases :  MySql, MS SQL Server, Excel  Statistical method : Hypothesis testing, confidence interval, percentile & IQR, ANOVA Test  ERP : CMIS, JDE, AGRIS, SAP, AGTRAX

Nicola C.

Remote Ai model validation developer in the United Kingdom (UTC+1)

Technical Product Manager and Applied AI/ML Engineer. Extensive startup experience translating cutting-edge AI research into production systems at multiple unicorn scaleups. 6 years of experience working directly with applied AI research teams on LLMs, Vision, Voice, and Autonomy. Strong foundations in engineering ([B.Sc](http://b.sc/) Mech. Eng.), [M.Sc](http://m.sc/) AI coursework (Neural Computing, Computer Vision @ KU Leuven), and hands-on AI/ML work.

Abdullah M.

Remote Ai model validation developer in France (UTC+2)

I'm a Full Stack & Machine Learning Engineer currently pursuing a Master’s in Data Management & AI at ECE Paris. With 4 years of experience, I've built and deployed scalable web and AI-based applications using technologies like React, Node.js, Django, and Python, along with cloud platforms such as AWS and GCP. Most recently, I worked at Codistan Ventures, where I led the migration to microservices architecture and optimised database performance. Before that, I developed an AI chat platform at LearnOBots and contributed to ML research and Android development at NCAI. I enjoy working on challenging backend systems, building automation tools, and applying AI in practical use cases. I’m passionate about writing clean, maintainable code and collaborating in fast-paced, product-driven teams. I’m always eager to learn, experiment, and contribute to projects that make a real impact.

Livia C.

Remote Ai model validation developer in Brazil (UTC-3)

PhD in Public Health from the Ribeirão Preto School of Medicine, she believes that software and hardware can change the health sector for the better and empower women, making the world a fairer and healthier place. Bachelor's degree in Biomedical Informatics from the Ribeirão Preto School of Philosophy, Sciences and Letters and the Ribeirão Preto School of Medicine. I am used to and enjoy working with teams from diverse backgrounds. I work as an Innovation Coordinator at the Hospital Israelita Albert Einstein and I am a Computer Science professor at the Barão de Mauá University Center. My focus is on how technology and artificial intelligence applied to health can improve people's lives. I advocate bringing more women into STEM, especially in positions of power. Since 2021, I have worked as a technical leader of multidisciplinary teams that develop advanced AI for the health sector. I have worked as a consultant for the World Health Organization, as a software developer, and as one of the 51 grantees of the Bill and Melinda Gates Foundation in the Grand Challenges of AI for a more equitable world. As a Latin American woman, public health scientist, women's advocate, and developer, I can bring a unique perspective to a global, integrative, and excellence-driven approach. Developer and data analyst with 10+ years of experience. • Implemented a new module to perform NLP tasks • Developed a model to detect pregnant woman based on health procedures and with 95% of accuracy • Produced a series of data analyses that helped the development of the new WHO Intrapartum care guideline • Developed web system that sent 22,296 SMS to pregnant women and partners • Strong technical background due to academic training and professional experience: Bachelor's, Master's and PhD degrees from the best university in Latin America (TOP#1) • International experience in U.S. and Europe • Used to work remotely away from the team