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Software Python Engineer

Axelon Services Corporation

Jersey City, NJ

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JOB DETAILS
SKILLS
Algorithms, Analysis Skills, Apache Hadoop, Apache Hive, Apache Spark, Bank Management, Business Banking, Capital Markets, Communication Skills, Computer Science, Data Cleaning, Data Modeling, Data Science, Deep Learning, Delivery Management, Distributed Computing, Financial Modeling, Global Financial Markets, Machine Learning, Mathematics, Model Review, Modeling Languages, MySQL, Predictive Modeling, Production Control, Production Systems, Programming Languages, Python Programming/Scripting Language, Risk Management, Risk Modeling, SQL (Structured Query Language), Scalable System Development, Software Development Lifecycle (SDLC), Software Engineering, Statistics, Technical Leadership, Test Plan/Schedule
LOCATION
Jersey City, NJ
POSTED
9 days ago


Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced Software Python Engineer
 



Pay rate range: $ 87.00 - $ 92.00 Negotiable based upon years of experience
Work Mode: Hybrid

Responsibilities:

  • Lead and develop plans and coordinate with teams for all analytical efforts.
  • Manage deliverables in an agile environment and maintain clear communication with all model stakeholders.
  • Present status, issues, and analytical findings to various audience groups like business, technology management, risk review, model governance, etc.
  • Data modeling and cleaning from internal and external sources.
  • Build predictive and prescriptive models by manipulating and cleaning results.
  • Lead, develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to production systems using technology SDLC process.
  • Implement features through the ML lifecycle (Development, Testing, Training, Production, Monitoring/Evaluation) to ensure scalability and reliability.


Requirements:

  • PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.
  • 8-10 years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
  • 8-10 years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
  • Strong background in ML/DL/LLM algorithms, model architectures, and training techniques.
  • Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.
  • Proficiency with tools and LLMs.
  • Ability to work independently and collaboratively within a team.


Preferred Skills:

  • Experience in GenAI/LLMs projects.
  • Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
  • Background in financial business-like banking, risk management.
  • Should be familiar with capital markets and financial instruments and modeling.

About the Company

A

Axelon Services Corporation