Junior AI ML Engineer Remote

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for FocusKPI Inc.. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.Location: Remote (EST preferred)Type: Paid Internship or Contract (Full-time)Start Date: ImmediateRole OverviewWe 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
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