
B2B • Fintech • SaaS
Dev. Pro is a software development partner that supports technology companies with custom outsourced software development services. With over 13 years of experience, a team of more than 900 experts, and operations in over 50 countries, Dev. Pro provides a comprehensive range of services including cloud development, DevOps, software testing and QA, system integration, and application security. The company caters to a wide array of industries such as digital commerce, fintech, hospitality, and healthcare by delivering tailored software development experiences. Dev. Pro emphasizes quality, innovation, and a transparent collaboration process to accelerate growth for ambitious startups and Fortune 500 enterprises alike, ensuring successful outcomes through a well-balanced and efficient team approach.
501 - 1000 employees
Founded 2011
🤝 B2B
💳 Fintech
☁️ SaaS
October 23

B2B • Fintech • SaaS
Dev. Pro is a software development partner that supports technology companies with custom outsourced software development services. With over 13 years of experience, a team of more than 900 experts, and operations in over 50 countries, Dev. Pro provides a comprehensive range of services including cloud development, DevOps, software testing and QA, system integration, and application security. The company caters to a wide array of industries such as digital commerce, fintech, hospitality, and healthcare by delivering tailored software development experiences. Dev. Pro emphasizes quality, innovation, and a transparent collaboration process to accelerate growth for ambitious startups and Fortune 500 enterprises alike, ensuring successful outcomes through a well-balanced and efficient team approach.
501 - 1000 employees
Founded 2011
🤝 B2B
💳 Fintech
☁️ SaaS
• Lead development and evaluation of ML models (semantic search, Cayenne/KNN-type algorithms, supervised labeling) • Design and improve processes for dataset evaluation and labeling accuracy • Collaborate with data engineers to ensure seamless model and data architecture integration • Work closely with ops and front-end engineers to deploy and integrate ML models into live applications • Run experiments, evaluate performance metrics, and iterate quickly • Collaborate with product, engineering, and leadership teams to translate business needs into scalable ML solutions
• Master’s degree or higher in Data Science, CS, Applied Math, or related field • 5-10 years of hands-on data science experience in fast-paced or startup environments • Strong ML and semantic search skills with hands-on model evaluation experience (precision, recall, F1, confusion matrices) • Strong proficiency in Python • Solid knowledge of PostgreSQL, including query optimization, schema design, and data transformations • Familiarity with cloud platforms, preferably GCP • Strong communication skills and ability to collaborate across teams • Upper-Intermediate English level • Experience with Pandas, NumPy, scikit-learn, and PyTorch/TensorFlow • Experience with Supabase and Next.js or similar • Exposure to BigQuery and Dataflow pipelines • Experience with data labeling and information retrieval • Experience in distributed, multicultural team environments
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