Machine Learning Engineer
hace 2 semanas
**Role Overview**:
- Working hands-on with **GPT-4 and LLM technologies**
- 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
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