March 19
• Develop and enhance data and analytics infrastructure • Collaborate with a dynamic team and talented data scientists • Design and implement advanced machine learning and deep learning models • Develop and deploy supervised and unsupervised anomaly detection algorithms • Utilize libraries such as pandas, numpy, and scikit-learn • Work with cloud platforms (AWS/GCP), big data tools like Spark, and visualization tools such as PlantUML • Volunteer time to philanthropy, open source initiatives, and sharing knowledge
• Degree or master's in computer science, data science, or a related field • 5+ years of experience in Python for production projects • Proficiency in machine learning and deep learning techniques (e.g., CNNs, Transformers) • Experience with PyTorch • Expertise in supervised and unsupervised anomaly detection • Mastery of pandas, numpy, and scikit-learn • Agile methodologies, scrum ceremonies, and JIRA experience • Foundation in descriptive statistics • Excellent English communication skills • Familiarity with PlantUML or equivalent documentation tools • Experience with cloud platforms (AWS/GCP) • Experience with big data tools like Spark
• Paid time off (PTO) • U.S. Holidays • Training • Udemy free Premium access • Mentored career development • Free English Courses • Profit Sharing • $US Remuneration
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