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Python​/AI Engineer

Job in Rutherford, Bergen County, New Jersey, 07070, USA
Listing for: Software Guidance & Assistance
Full Time position
Listed on 2026-04-25
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Software Guidance & Assistance, Inc., (SGA), is searching for a Python/AI Engineer for a right to hire assignment with one of our premier financial services clients in Rutherford, NJ.

Responsibilities :
  • This a development position for establishing and implementing new or revised applications and programs in the Technology team.
  • As part of this role, you will be responsible for data extraction and data analysis from structured and unstructured sources. You will develop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partners. You will have to address complex problems involving financial data with specific focus on credit risk management.

    You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems.
  • Develop plans and coordinate with teams for all analytical efforts.
  • Manage deliverables in a 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 modelling and cleaning from internal and external sources.
  • Build predictive and prescriptive models by manipulating and cleaning results.
  • 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.
Required Skills:
  • Bachelor's degree/University degree or equivalent experience in STEM
  • PhD or master's degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.
  • 5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
  • 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
  • Strong background of 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.
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
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it.

You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion ase find us at .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities.

Please visit our company to request an accommodation or assistance regarding our policy

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