Junior AI/ML Engineer (Remote)

FocusKPI, Inc.
Boston, MA, United States
3 months ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cluster Analysis Databases Python (Programming Language) PostgreSQL Machine Learning NumPy Open Source Technology SQL Databases Systems Integration
+9 more
Flask (Web Framework) Large Language Models Multi-Agent Systems Backend Fastapi Pandas Scikit Learn Information Technology Api Design

Job description

  • Develop and deploy AI chatbot/agent solutions for enterprise use cases

Requirements

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., + Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field

  • Strong Python programming skills

  • 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 (LangChain, LlamaIndex, LangGraph, 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

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