Demo

Lead Data & ML Engineer

A2C
York, NY Contractor
POSTED ON 4/14/2026
AVAILABLE BEFORE 5/10/2026

*Must be onsite NYC*

  • Responsibilities: Work with Quantitative Strategist/Statistical Modeler to build, enhance, and execute/test scenarios
  • Ability to develop, run and infer Machine Learning Models and Statistical Models on cloud
  • Identify potential improvements to the current design/processes.
  • Ability to assess risks in design/development upfront.
  • Plan and co-ordinate the data/process migration across databases.
  • Participate in multiple project discussions as a senior member of the team.
  • Serve as a coach/mentor for junior developers.
  • Provide thought leadership.
  • Lead team in new initiatives such as cloud strategy.


  • Required Skills:10 years of total experience.
  • Strong Python, Spark, PyTorch, PySpark, Java and C scripting experience
  • Have knowledge on Machine Learning, Statistics and Model development, training and inference.
  • Have strong design and problem-solving skills
  • Strong understanding of machine learning tools ML Flow, Databricks, Snowflake on Cloud
  • SQL skills and database programming skills including creating views, stored procedures, triggers, implementing referential integrity, as well as designing and coding for performance.
  • Knowledge and hands-on experience of RDBMS systems (e.g.: DB2, Teradata, or Oracle, Snowflake).
  • Good communication and leadership skills.
  • Organization, discipline, detail-orientation, self-motivation, and focused on delivery.
  • In-depth knowledge and hands-on experience Unix/Linux programming (shell and/or Perl).


  • Desired Skills:Experience in the Financial Industry
  • Good understanding of Data engineering principles and risk model development.
  • ETL experience with Informatica
  • Experience in Cloud database (e.g.: AZURE, Snowflake).
  • Experience with Scala/Spark/C /Pytorch
  • Experience with AngularJS
  • Experience in KDB

Hourly Wage Estimation for Lead Data & ML Engineer in York, NY
$66.00 to $82.00
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