Sr. Python/AI Engineer

Rutherford, NJ, US • Posted 8 hours ago • Updated 8 hours ago
Contract W2
On-site
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Job Details

Skills

  • Artificial Intelligence
  • Financial Services
  • Data Extraction
  • Data Analysis
  • FOCUS
  • Credit Risk
  • Agile
  • Communication
  • IT Management
  • Data Modeling
  • Management
  • Deep Learning
  • Large Language Models (LLMs)
  • Software Development Methodology
  • Development Testing
  • Evaluation
  • Scalability
  • Computer Science
  • Data Science
  • Statistics
  • Mathematics
  • Machine Learning (ML)
  • Algorithms
  • Training
  • Python
  • SQL
  • PySpark
  • TensorFlow
  • Analytical Skill
  • Programming Languages
  • Generative Artificial Intelligence (AI)
  • Apache Hadoop
  • Apache Hive
  • Apache Spark
  • MySQL
  • Banking
  • Risk Management
  • Capital Market
  • Finance
  • Modeling
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

Software Guidance & Assistance, Inc., (SGA), is searching for a Sr. 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.
  • Lead and 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.
  • 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.
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.
  • 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 of 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
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 at work. Please 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: sgainc
  • Position Id: 26-01106
  • Posted 8 hours ago

Company Info

About Software Guidance & Assistance

Founded in 1981, SGA is a technology and resource solutions provider with a national footprint and headquartered in the shadow of Wall Street. We’re a certified women-owned business. We provide contingent staffing, direct placement, and professional and managed services to transform businesses and evolve careers. We’re small enough to tailor our services to each client and big enough to deliver for some of the world’s largest employers. Our professionals are experts in areas such as IT, finance, accounting, risk, and clinical.

SGA provides contingent staffing, direct placement, and professional and managed services nationwide for Fortune 500 companies, mid-size businesses and select startups.

Our core skillsets include all areas of technology – business & data analysis, cyber & network security, database administration, development & architecture, infrastructure, program & project management, quality assurance & testing. We also deliver talent across professional business functions such as finance, accounting, risk, and clinical.

Our Professional & Managed Services team delivers IT projects through onshore, offshore and hybrid delivery models. We develop software products, modernize applications, add features, and integrate and maintain systems. Our scope covers, among others, complex application suites, data management and visualizations, machine learning and mobile applications.

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