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Wizard

Wizard is a technology-driven company currently seeking a Principal Applied Scientist to join their team.

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🔥 Senior Machine Learning Engineer
Posted 2024-11-07

đź“Ť USA

🧭 Full-Time

đź’¸ 210000 - 260000 USD per year

🔍 Retail, AI

  • MS/Ph.D. in computer science, mathematics, or other quantitative disciplines, or exceptional work experience in ML engineering.
  • 5+ years of Machine Learning experience.
  • Experience developing machine learning-driven products at scale.
  • Proficient in solving problems using Machine Learning with PyTorch.
  • Exceptional understanding of designing ML systems in production at scale.
  • Practical experience with large data systems, data models, and data pipelines.
  • Ability to quickly learn the tech stack, including GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js.
  • Extensive experience with model deployment using Flask, FastAPI, or similar frameworks.

  • Build and maintain a training pipeline for fine-tuning open-source LLMs.
  • Serve and deploy LLMs on GPUs while managing configurations to prevent runtime issues.
  • Identify product issues and propose solutions rapidly.
  • Triage customer issues related to models and communicate architecture clearly.
  • Stay informed about the generative AI field and integrate new developments.

Node.jsPythonFlaskGCPKubernetesMachine LearningPyTorchAirflowFastAPIPandas

Posted 2024-11-07
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🔥 Director, Data Engineering
Posted 2024-11-07

đź“Ť USA

đź’¸ 235000 - 260000 USD per year

🔍 Retail/Shopping Technology

  • Bachelor’s or Master’s in Computer Science, Data Science, Information Systems, or a related field.
  • Minimum of 10 years' experience in data engineering, with at least 4 years in a leadership role.
  • Proven experience in designing and managing scalable data infrastructures in a cloud environment (AWS, GCP, Azure).
  • Deep understanding of data governance, data quality management, and data security practices.
  • Experience with big data technologies (Hadoop, Spark), data pipeline tools (Airflow, Kafka), and modern storage solutions.
  • Proficiency in SQL, Python, or Scala, and familiarity with front-end technologies (JavaScript) for data visualization.
  • Demonstrated leadership skills with strong analytical, problem-solving, and project management skills.

  • Lead the data engineering and data operations teams, setting strategic direction and managing data initiatives that align with company goals.
  • Design and implement scalable data engineering solutions to support growing data needs.
  • Oversee data governance and operations to ensure high data quality and compliance.
  • Streamline data operations for real-time processing, analytics, and reporting.
  • Mentor and develop the data teams, fostering professional growth.
  • Collaborate with cross-functional departments to support overall business objectives.

AWSLeadershipProject ManagementPythonSQLGCPHadoopJavascriptKafkaJavaScriptStrategyAirflowAzureData engineeringSparkCommunication SkillsCollaborationCompliance

Posted 2024-11-07
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🔥 Principal Applied Scientist / Team Lead
Posted 2024-08-07

đź“Ť United States

đź’¸ 285000 - 315000 USD per year

🔍 E-commerce

  • Ph.D. in Computer Science, Mathematics, or another quantitative field or outstanding professional experience in machine learning engineering.
  • Over 5 years of industry experience in machine learning, with a proven track record in developing ML-driven products at scale.
  • Experience building recommender systems, preferably in the e-commerce space.
  • Expertise in machine learning frameworks like PyTorch.
  • Understanding of ML system design in production, performance evaluation, and cost/performance trade-offs.
  • Hands-on experience with large-scale data systems, advanced data models, and data pipelines.
  • Adaptability to technology stack including GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js.
  • Experience in model deployment strategies using frameworks like Flask or FastAPI.

  • Architect and oversee the development of Wizard’s recommender system.
  • Develop a product ranking model that incorporates customer profiles and dialog context.
  • Balance exploration and optimization to improve long-term conversion rates.
  • Translate customer needs and business requirements into a long-term vision for recommendations and personalization.
  • Act as a thought leader and integrate advancements in Generative AI technologies.

Node.jsPythonGCPKubernetesMachine LearningPyTorchSpringJavaScriptStrategyAirflowAlgorithmsPandas

Posted 2024-08-07
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