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NOTE: Please submit only local candidates.

Title: Data Engineer

Location: Seattle, WA (Onsite)

Visa:  USC/GC only     

MOI: Skype

Principal Duties and Responsibilities:

• Develop and Deploy Predictive Models:

• • Build, tune, and maintain machine learning models in data bricks using python, R, or java. 
  • Design and implement ML solutions tailored to specific use cases and data characteristics. 
• Data Modelling and Analysis:
  • Review and revise data models fed from upstream sources such as PostgreSQL, MongoDB,
    and Kafka. 
  • Identify and correct for data quality issues in data large datasets. 
  • Analyze results to ensure findings are statically significant. 
• ML Model Optimization and Maintenance: 
  • Continuously improve model performance and accuracy.
  • Monitor and maintain deployed models to ensure effectiveness and relevance. 
• Collaboration and Cross-functional Engagement:
  • Work closely with product managers, business analysts, architects, and other stakeholders
    to understand business requirements and translate them into technical solutions
  • Collaborate with software engineers to integrate models into production systems.

Qualifications, Skills, Experience and Personal Requirements:

• Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related field. 
• Proven hands-on experience in creating, tuning, and maintaining machine learning models in enterprise environments. (Required)
• Proficiency in Python and R, with experience using Databricks for model development.
• Deep understanding of various machine learning modelling methods and their applications.
• Experience with data modelling techniques and tools.
• Experience with MongoDB, Snowflake, Postgres, AWS Cloud, and PowerBI.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.