Machine Learning Engineer

Role Overview

• Working hands-on with GPT-4 and LLM technologies

• Integrating advanced models into client applications

• Innovating within a fast-growing studio recognized by Inc. and Boston Business Journal

Technology Stack

Youll need solid experience with the following tools and frameworks:

• GPT-4, Transformer-based architectures

• RAG (Retrieval-Augmented Generation)

• ReAct framework & LangChain for chaining model reasoning

• Pinecone for vector database implementation

• AWS (Machine Learning and cloud services)

• Frameworks like TensorFlow, PyTorch, or equivalents

Key Responsibilities

• Design, build, and maintain NLP and ML models

• Optimize and deploy GPT and other LLM-based solutions

• Collaborate with developers to embed AI into client-facing systems

• Experiment with novel techniques to push capabilities further

• Participate in code reviews and contribute to internal best practices

• Keep up with the latest research and trends in AI/ML

Qualifications Required

• Real-world experience in machine learning and natural language processing

• Proficiency with GPT/LLMs

• Strong command of Python and cloud environments (preferably AWS)

• Background in Computer Science, Engineering, or related fields (Bachelor's or Masters)

• Excellent problem-solving and communication skills

• Ability to work independently and in a collaborative setting

Perks & Work Environment

• 100% remote position

• Flexible hours (must be available for East Coast US time meetings)

• Paid vacation, sick leave, holidays

• Expense reimbursement for courses & certifications

• Accounting assistance

• Equipment provided as needed

• Engaged, innovative, and growth-oriented team