Hire Freelance MLflow Developers and Engineers
Clayton Lemons
Clayton is a transformative software engineer and leader with over 15 years of experience in the software industry, innovating at the intersection of data, AI/ML, and cloud engineering. As both an individual contributor and a visionary leader, he is a dynamic force in transforming challenges into user-centric, high-quality software solutions. Renowned for his technical mastery, strategic foresight, and principled approach to software, Clayton elevates teams to collaborate and perform their best.
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Cesar Romero
Cesar has over 13 years of experience in machine learning and software engineering. His career spans reputable industry giants like Amazon, Walmart, and Unity and smaller startup environments. Proficient in constructing large-scale classifiers and recommenders, Cesar has spearheaded initiatives involving the utilization of synthetic data for computer vision tasks. Currently freelancing, he prioritizes building maintainable systems that facilitate rapid iteration cycles.
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Michał Bieroński
Michał has almost nine years of professional experience in data science, machine learning, and software development. He has a computer science background and can fit in data scientist and machine learning engineer roles. Michal has tackled multiple problems in conversational AI, NLP, computer vision, time series forecasting, social media analysis, learning from graph-structured data, supply chain analysis, data visualization, and production deployment.
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Snigdha Sharma
Snigdha is an experienced engineer specializing in software development, NLP, computer vision, machine learning, and AWS technologies. She has worked with companies of many shapes and sizes, from a month-old startup still iterating on its ideas to a large bank like JPMorgan Chase to one of the fastest growing names in HR tech—Eightfold.ai. Snigdha has gained insightful experience in several industries, including pharmaceuticals, media and entertainment, national security, fintech, and HR tech.
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Allen Gary Grimm
Fascinated by the intersection of abstraction and reality, Allen found his calling in data science. Formally trained in machine learning plus a breadth of experience in applying ML as prototypes up through production, his specialty is in finding and implementing tractable solutions to complex data modeling problems: e.g., user behavior prediction, recommender systems, NLP, spam filters, deduplication, or feature engineering.
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Denis Volk
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
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Mary Baculi
Mary is a result-driven data architect that delivers data analytics to senior management. She is a detail-oriented and organized professional with 21 years of expertise in all phases of system development and project life cycles. Mary has collaborated with SMEs, project managers, business analysts, developers, quality assurance specialists, vendors, and cloud providers to deliver information solutions following Agile methodology.
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Julián Peller
Julián is an autonomous, curious, and self-driven data scientist with a solid theoretical background—an MSc in computer science—and more than 14 years in the software industry. During this time, he has worked in different roles, projects, and types of companies. Julián is also a Python expert and enthusiast and is specializing in—and very passionate about—deep learning.
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Oliver Holloway
Oliver is a versatile data scientist and software engineer combining over a decade of experience and a postgraduate mathematics degree from Oxford. Career assignments have ranged from building machine learning solutions for startups to leading project teams and handling vast amounts of data at Goldman Sachs. With this background, he is adept at picking up new skills quickly to deliver robust solutions to the most demanding of businesses.
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Eugene Balkind
Eugene is a skilled data scientist with a strong academic and industrial background in time series analysis, LLMs, and other ML technologies. Eugene has created classification models that predict positive or negative outcomes of COVID-19 tests and models that determine whether a company is a good acquisition. He has also built data hubs, completed cross-validation testing, and adjusted and improved models to adapt to quickly changing requirements. He is also proficient in OpenAI API.
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Marya Golovina
Marya is an experienced, results-driven data engineer with over eight-years-long IT background across different sectors and architecture domains. With her extensive logistics and warehousing sector knowledge, Marya specializes in solution architecture, including retail distribution, transportation, operational optimization, business-to-business (B2B) software as a service (SaaS), fashion retail, and consumer staples.
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