Data Engineer with MLOps

Job Title - Data Engineer with MLOps
Location - New York City NY

Type- Contract (W2 or C2C)/ Fulltime

Responsibilities:

Construct machine learning lifecycle management including data collection, normalization, and standardization within a data pipeline construction

• Develop AutoML infrastructure for model selection and hyperparameter tuning
• Create applications and interface to present the output of ML models
• Experiment, develop and productionize high quality machine learning services and platforms to make huge technology and business impact.
• Develop hosting platform for machine learning models.
• Create pipelines to query and retrieve and update data for existing applications to keep them updated
• Supervise the scaling and management of the machine learning modeling ecosystem
• Work alongside data scientists and product owners to improve aspects of their lines of business through machine learning

What We're Looking For:

• Possess excellent verbal & written communication skills
• Expertise in application, data, and infrastructure architecture disciplines
• Advanced knowledge of architecture and design across all systems
• Proficiency in multiple machine learning programming languages including Python, PySpark, or Scala
• 4+ years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc
• Able to understand various data structures and common methods in data transformation
• Knowledge of industry-wide technology trends and best practices
• Ability to work in large, collaborative teams to achieve organizational goals
• Passionate about building an innovative culture
• Familiarity with MLOps and ModelOps
• Docker, Kubernetes, AWS, Python

Familiarity with or clear interest in learning about financial Markets.