Software Python Engineer
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-06-23
Listing for:
Creative Solutions Services, LLC
Full Time
position Listed on 2026-06-23
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Job Description & How to Apply Below
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
- 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.
- PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.
- 8+years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
- 8+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, Tensor Flow or other analytical/model-building programming languages.
- Proficiency with tools and LLMs.
- Ability to work independently and collaboratively within a team.
- 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.
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