AI/ML Engineer - Jersey City, NJ - Fulltime

Overview

Hybrid
Depends on Experience
Full Time

Skills

AI
ML
Python
Full-Stack

Job Details

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A Great Place To Work Certified company, Prodapt employs over 6,000 technology and domain experts in 30+ countries. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

The engineer will contribute across data migration assessment, application modernization strategy, AI use-case discovery, and reference architecture definition, supporting the foundation for future implementation phases on Google Cloud Platform (Google Cloud Platform).

Key Responsibilities

  • Analyze existing applications and services to assess AI-readiness and modernization opportunities.
  • Contribute to defining AI-enabled application patterns, including agent-based workflows and orchestration concepts.
  • Develop lightweight POCs, scripts, and prototypes to validate AI use cases and data flows during assessment.
  • Support current-state analysis of data sources, pipelines, APIs, and legacy platforms.
  • Assist in defining migration approaches to Google Cloud Platform-based data architecture.
  • Develop Python- and Java-based utilities/scripts for:
    • Data profiling and validation
    • Transformation logic testing
    • Migration feasibility assessment
  • Contribute to reconciliation, rollback, and recovery strategy definition.
  • Participate in use-case discovery workshops with business and IT stakeholders.
  • Help define reference architecture concepts (high-level) for modernized applications.
  • Evaluate technology stacks, frameworks, and DevOps tooling for AI-enabled platforms.
  • Support creation of the Technology Proposal and Implementation Playbook.
  • Assist in building conceptual execution roadmaps (phases, milestones, dependencies).
  • Support definition of security, compliance, and governance guardrails for AI and data platforms.
  • Contribute to Phase 0 deliverables and client-ready documentation.

Required Qualifications

  • Strong experience as a Full-Stack Engineer (Java and/or Python)
  • Strong hands-on experience with:
    • Java (Spring Boot, REST APIs, microservices)
    • Python (scripting, data processing, automation)
  • Practical exposure to AI/ML engineering (early-stage experience acceptable), including:
    • Model integration
    • Prompt-based workflows
    • AI service consumption via APIs
  • Experience writing Python and shell scripts for:
    • Data analysis, profiling, and validation
    • Automation and batch processing
    • Integration testing and tooling
  • Experience with cloud platforms (Google Cloud Platform preferred; AWS/Azure acceptable)
  • Solid understanding of data pipelines, APIs, and integration patterns
  • Experience contributing to architecture discussions, assessments, and strategy documents

Preferred Qualifications

  • Exposure to Agentic AI, AI orchestration, or multi-agent frameworks
  • Familiarity with:
    • Pandas, NumPy, PySpark, or similar data libraries
    • SQL and cloud-native data warehouses (BigQuery preferred)
  • Experience with DevOps tools (CI/CD, containers, IaC)
  • Knowledge of security and compliance considerations in regulated environments
  • Utility, energy, or large-enterprise modernization experience is a plus
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