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Junior AI​/ML Engineer; Remote

Remote / Online - Candidates ideally in
Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Wal-Mart
Full Time, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-07-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 55000 - 90000 USD Yearly USD 55000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Junior AI/ML Engineer (Remote)

FocusKPI Inc. is an analytics consulting company servicing Fortune 500 clients in the IT industry.

We are hiring:

Website:

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via  email domain. If you have received fraudulent emails now or in the past, please report it to (Use the "Apply for this Job" box below). . The domain  is fraudulent and not related to FocusKPI. Please do not reply or communicate to anyone with

Location:

Remote (EST preferred)

Type:
Paid Internship or Contract (Full-time)

Start Date:

Immediate

Role Overview

We are seeking a Junior AI/ML Engineer to support the development of an enterprise AI chatbot and data intelligence system. This role will focus on building interactive AI agents that connect to enterprise databases, generate insights, and support decision‑making.

The position includes hands‑on work in both LLM-based chatbot/agent development and machine learning, including building prediction models and integrating them into production workflows. This is a client‑facing technical role requiring strong coding ability, analytical thinking, and the ability to work in a fast‑paced environment.

Key Responsibilities
  • Develop and deploy AI chatbot/agent solutions for enterprise use cases
  • Integrate LLM-based agents with structured and unstructured enterprise data
  • Connect chat interfaces to SQL/enterprise databases and internal APIs
  • Build and integrate machine learning models (prediction, classification, clustering, etc.)
  • Perform data preprocessing, feature engineering, and model evaluation
  • Integrate ML outputs into chatbot or workflow interfaces

    Support data pipeline development and automation
  • Collaborate with internal team and occasionally clients to understand requirements
  • Document model logic, workflows, and implementation details
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field
  • Hands‑on experience with machine learning (regression, classification, clustering, or similar)
  • Familiarity with ML libraries such as scikit-learn, pandas, numpy, or similar
  • Experience working with databases (SQL, PostgreSQL, or similar)
  • Familiarity with LLM APIs (OpenAI, Claude, or open‑source models)
  • Experience building APIs or backend services (FastAPI, Flask, or similar)
  • Strong analytical and problem‑solving skills
  • Ability to work independently and communicate clearly
Preferred Qualifications
  • Graduate degree or currently pursuing MS in AI, Data Science, or related field
  • Experience with agent frameworks (Lang Chain, Llama Index, Lang Graph, CrewAI, etc.)
  • Experience deploying or integrating ML models into applications
  • Knowledge of vector databases or embeddings

    Familiarity with AWS, GCP, or Azure
  • Prior internship or project experience building AI/ML applications
How to Apply

Please submit the following to

  • Resume
  • Git Hub or portfolio that includes at least one agentic or AI chatbot project
  • A short written explanation (3–6 paragraphs) of one project, including:
    • What problem the agent/chatbot solves
    • Architecture and tools used (LLM, framework, database, etc.)
    • Your specific contribution
    • Challenges encountered and how you solved them

Candidates without project examples or explanation will not be considered.

Immediate start preferred.

Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or paste resume

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