Wizard

👥 11-50Customer ServiceManufacturing💼 Private Company
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Wizard is a technology-driven company currently seeking a Principal Applied Scientist to join their team.

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🔥 Senior Data Engineer
Posted about 1 month ago

📍 USA

🧭 Full-Time

💸 165000.0 - 210000.0 USD per year

🔍 E-commerce and AI technologies

  • 5+ years of professional experience in software development with a focus on data engineering.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
  • Proficiency in Python with software engineering best practices.
  • Strong expertise in building ETL pipelines using tools like Apache Spark.
  • Hands-on experience with NoSQL databases like MongoDB, Cassandra, or DynamoDB.
  • Proficiency in real-time stream processing systems such as Kafka or AWS Kinesis.
  • Experience with cloud platforms (AWS, GCP, Azure) and technologies like Delta Lake and Parquet files.

  • Develop and maintain scalable data infrastructure for batch and real-time processing.
  • Build and optimize ETL pipelines for efficient data flow.
  • Collaborate with data scientists and cross-functional teams for accurate monitoring.
  • Design backend data solutions for microservices architecture.
  • Implement and manage integrations with third-party e-commerce platforms.

AWSPythonDynamoDBElasticSearchETLGCPGitHadoopKafkaMongoDBRabbitmqAzureCassandraRedis

Posted about 1 month ago
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📍 USA

🧭 Full-Time

💸 285000.0 - 315000.0 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.
  • Experience building recommender systems, preferably in e-commerce.
  • Demonstrated expertise with machine learning frameworks like PyTorch.
  • Understanding of ML system design in production environments.
  • Hands-on experience with large-scale data systems and data pipelines.
  • Adaptability to technologies including GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js.
  • Deep experience in model deployment strategies using frameworks like Flask or FastAPI.

  • Architect and oversee the development for novel product issues related to ML.
  • Triage customer issues regarding model/system shortcomings.
  • Build and maintain pipelines for fine-tuning open-source LLMs.
  • Serve and deploy LLM on GPUs.
  • Translate customer needs and business requirements into a long-term vision and roadmap.
  • Act as a thought leader in the Generative AI field.

Node.jsPythonFlaskGCPKubernetesMachine LearningPyTorchStrategyAirflowAlgorithmsFastAPIPandas

Posted about 2 months ago
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