Junior AI/ML Engineer (Remote)

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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 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

How to Apply

Please submit the following to danz@focuskpi.com :

Resume GitHub 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.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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Why This Role Is a Great Opportunity

The Junior AI/ML Engineer position at Lensa offers an exceptional opportunity for aspiring professionals eager to dive into the dynamic field of artificial intelligence and machine learning. As a volunteer role, it provides a unique platform for hands-on experience without the pressure of full-time employment, allowing you to focus on learning and growth. This role is ideal for those who are passionate about technology and want to make a significant impact in the AI/ML domain.

Joining Lensa provides exposure to cutting-edge technologies and methodologies, making it a fantastic stepping stone for a thriving career in AI. The skills you acquire will be highly relevant across multiple industries, enhancing your employability in an ever-evolving job market. Furthermore, working remotely offers flexibility, allowing you to balance personal and professional growth effectively. This experience will not only boost your resume but also prepare you for advanced roles in the tech industry.

Key Skills You Need to Succeed

• Python: The primary language for machine learning, known for its simplicity and versatility in data manipulation.
• Go: Useful for building scalable and efficient applications, particularly important in backend development.
• R: A language and environment for statistical computing and graphics, crucial for data analysis.
• Flask: A lightweight WSGI web application framework for Python, essential for developing web applications.
• Machine Learning: Understanding algorithms and model training is central to the role.
• Scikit-learn: A library that provides simple and efficient tools for data mining and data analysis.
• Pandas: A data manipulation and analysis library, invaluable for handling complex data sets.
• Numpy: Fundamental for numerical computing with Python, crucial for data manipulation.
• SQL: Essential for database management and data retrieval, a key skill for data-driven decision-making.
• Data Science: Applying scientific methods to extract insights from data, pivotal for informed decision-making.
• LLM and Langchain: Understanding of language models is crucial for natural language processing tasks.
• AWS, GCP, Azure: Cloud computing platforms that are essential for deploying and managing applications at scale.
• PostgreSQL: A powerful, open-source object-relational database system, necessary for complex queries and data storage.
• Git: Version control is critical for collaboration and maintaining code integrity.
• API: Understanding application programming interfaces is essential for integrating different software systems.

Tips to Get Hired for This Role

Securing the Junior AI/ML Engineer role at Lensa requires strategic preparation and a standout application. Begin by crafting a resume that clearly highlights your technical skills and any relevant projects. Tailor your resume to emphasize experiences with the technologies and languages listed in the job description.

During the interview process, demonstrate your passion for AI/ML by discussing personal projects or contributions to open-source initiatives. Prepare to answer questions about your problem-solving approach and your ability to work collaboratively in a remote setting. Practicing common coding challenges and refreshing your knowledge on key machine learning concepts can also give you an edge.

Lastly, be sure to research Lensa and understand their mission and values. Showing genuine interest in the company and aligning your goals with theirs can significantly enhance your chances of securing the role. Good luck!