Software Python Engineer

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+ 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, 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.