Hire Freelance Machine Learning Operations Engineers
Anton Wolkov
Anton specializes in big data infrastructure architecture and machine learning operations (MLOps). He worked with many high-profile Fortune 500s and startups. He holds a bachelor's degree in computer science, with experience in big data infrastructure development and DevOps. He can get you started with data lakes, onboard data scientists, automation, and create production-grade self-service batch pipelines. Anton prefers using Airflow, Presto, TensorFlow, Kubernetes, and Grafana.
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François Le Lay
François is a seasoned leader with experience building data platforms and machine learning solutions at major technology companies and startups in B2C and B2B settings. François has spent seven years at Spotify building data infrastructure teams as a manager and leveraging machine learning techniques to improve the music catalog as a staff engineer.
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Alex Kim
Alex is an ML engineer with 10+ years of experience in the tech industry. He has shared his expertise as an invited speaker at various conferences and meetups, helped companies with their ML strategy, and advised startups on their Data Science curriculum. He's also the founder and organizer of PyData Montreal, Canada's largest PyData meetup.
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Alessandro Pedori
Alessandro is a full-stack AI, NLP, and ML engineer, consultant, and architect with several years of experience teaching AIs what to do and building the code around it, mainly in Python. He also loves helping people understand the limits of current systems, triaging what to implement first, building code, teaching, consulting, mentoring, and coaching. Above all, Alessandro is passionate about how technology can empower humans to shine.
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András Kárpáti
András is a mathematician and economist by training, a data scientist by choice. With industry experience in telecommunications, logistics, finance, and retail, András excels at cracking tough statistical problems and building software solutions that last. Beyond his industry expertise, András teaches network science and machine learning to graduate students.
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Guillem Duran Ballester
Guillem is a machine learning engineer and AI researcher with a strong passion for education and open source. He works with companies to develop innovative machine learning solutions that provide business value. Guillem enjoys helping clients understand how they can benefit from the latest discoveries in AI.
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Wellington Rodrigo Monteiro
Wellington is a senior data scientist and machine learning engineer with 10+ years of experience designing AI systems, back-end projects, and integrations with existing solutions respecting enterprise architecture requirements for large companies such as ExxonMobil and BRF. He specializes in complex machine learning models such as ensemble models, explainable artificial intelligence, and fair AI. Wellington also works with multi-objective optimization problems in critical applications.
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Dogugun Ozkaya
Dogugun is a skilled data scientist with expertise in Machine Learning and data-centric solutions. Proficient in Python and SQL, he drives data-driven decisions and delivers innovative AI solutions. His strengths lie in B2B ML projects, automated pipelines, and real-time APIs. Dogugun's predictive modeling and visualization dashboards empower businesses to optimize processes and gain strategic insights. Dogugun is a valuable asset in advancing businesses with ML-driven solutions.
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Muhammad Talha Zubair
Muhammad is an accomplished machine learning developer with four years of extensive experience in data science, machine learning, and computer vision, making substantial contributions to several high-profile projects. His versatile tech stack includes expertise in data analysis, proficiency in machine learning and deep learning technologies, expertise in DevOps, and mastery of cloud technologies. Furthermore, Muhammad's competencies extend to Python and API development using Flask and NGINX.
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Rishab Pal
Rishab is an experienced data scientist and machine learning expert with a strong passion for mathematics and AI. He has over five years of experience designing and developing end-to-end machine learning solutions, which have been successfully deployed to production on cloud platforms. Rishab is constantly investing in his skills to stay up-to-date with the latest advancements in the field and is committed to applying his knowledge and expertise to develop impactful solutions.
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Surbhi Gupta
Surbhi, previously a CTO at a GenAI startup and assistant professor at MUJ, is a generative AI, ML, and NLP expert with 5+ years of experience. She has designed and developed ML-based end-to-end solutions for startups at Toptal and Fortune 500 clients at Utopia. Her expertise includes ML, deep learning, NLP, computer vision, LLMs, GPT, AI, MLOps, and AWS. Surbhi solved problems in EAM, marketing, finance, chatbot, and crypto industries. She published research in robotics and optimization.
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