AI/ML Platform Engineer, Analyst

MUFGJersey City, NJ
$84,000 - $110,000Hybrid

About The Position

The Data and Insights Platform Engineering team is embarking on a transformative journey to define, enable, and drive our data strategy. We aim to engage with partners across technology, data, business, and operations to develop and deliver business outcomes. Our team is seeking a motivated and detail-oriented Entry-Level Python/Power Platform Engineer to join our growing team. As a key contributor, you will help build, test, and deploy Agents and workflows that solve real-world problems and enhance our data-driven decision-making. This is a great opportunity for someone eager to apply their academic knowledge in a practical, fast-paced environment.

Requirements

  • 1 - 2 yrs experience Data Analysis: Excel (advanced), PowerPoint, data modeling, data visualization, dashboard development, survey analytics
  • Proficiency in Python & SQL
  • Familiarity with data manipulation, feature engineering, and exploratory data analysis
  • Understanding of model evaluation metrics and techniques
  • Good communication and teamwork skills

Nice To Haves

  • Internship or project experience involving machine learning or data science
  • Exposure to LLM and Agentic AI
  • Exposure to SQL and basic database concepts
  • Enthusiastic about learning and growing in the field of Power BI/Power Automation/PowerPlatform

Responsibilities

  • Assist in designing, training, and validating AI agents and Model Context Protocol (MCP) servers using structured and unstructured data
  • Analyze complex datasets and translate findings into clear, actionable insights for both technical and non-technical stakeholders.
  • Preprocess and clean large datasets to prepare for modeling
  • Conduct experiments, evaluate model performance, and tune hyperparameters
  • Write reusable, well-documented code in Python (or similar languages)
  • Contribute to model deployment pipelines and MLOps infrastructure
  • Stay current with the latest research, tools, and trends in machine learning and AI

Benefits

  • comprehensive health and wellness benefits
  • retirement plans
  • educational assistance and training programs
  • income replacement for qualified employees with disabilities
  • paid maternity and parental bonding leave
  • paid vacation, sick days, and holidays
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