Machine Learning Engineer Job at G2i Inc.

Machine Learning Engineer

G2i Inc.

Location:

Category:
IT - Software Development

Contract Type:
Contract work

Salary:

78.00 USD / Hour

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Job Description:

Our client helps business leaders make better strategic decisions through in-depth expert interviews and curated insights. Our mission is to transform the way executives access and apply real-world expertise. We’re a small, highly technical, and product-focused team working to leverage AI to scale human expertise. We’re seeking a Machine Learning Engineer experienced in fine-tuning and deploying Large Language Models (LLMs). You’ll work closely with our product and data teams to build, refine, and operationalize intelligent systems that enhance how our users interact with expert insights. This is a hands-on engineering role, ideal for someone who’s comfortable working autonomously and thrives in a fast-moving environment.

Job Responsibility:

Design, fine-tune, and deploy LLMs for natural language understanding, text generation, and summarization tasks
Optimize existing ML models for performance, cost, and latency
Build and maintain robust data pipelines for model training and evaluation
Collaborate with cross-functional teams to integrate AI-driven features into production systems
Continuously explore new techniques in prompt engineering, retrieval-augmented generation (RAG), and model optimization

Requirements:

Proven experience fine-tuning and deploying LLMs (OpenAI, Anthropic, Mistral, LLaMA, etc.)
Strong background in machine learning engineering, with experience in Python and frameworks such as PyTorch, TensorFlow, or Transformers
Solid understanding of NLP, model evaluation, and data preprocessing
Experience building end-to-end ML systems, from data ingestion to deployment
Familiarity with MLOps tools and cloud infrastructure (AWS, GCP, or Azure)
Excellent communication and documentation skills

Nice to have:

Experience working with vector databases (Pinecone, Weaviate, FAISS)
Understanding of RAG, prompt tuning, or instruction fine-tuning
Previous work in content intelligence, research, or knowledge management platforms

What we offer:

Work directly with a lean, high-impact team passionate about AI and product quality
Fully remote and flexible working schedule
Opportunity to influence the AI roadmap of a company transforming access to human expertise

Additional Information:

Job Posted:
February 18, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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