Senior Machine Learning Engineer

Exciting Opportunity for Senior Machine Learning Engineers (U.S. Based)

Our client in the United States is seeking an experienced Senior Machine Learning Engineer to lead innovative projects within natural language processing and generative AI. This is a key role where you’ll contribute to architecting and implementing cutting-edge AI solutions.

Key Responsibilities:

Design and implement robust systems architecture for AI projects
Document technical requirements and make strategic design decisions
Drive innovation within deep learning, generative AI, and large language models
Must-Have Expertise:

Deep Learning ; Generative AI (GenAI)
Google Cloud Platform (GCP)
LangChain
Large Language Models (LLM)

What Will Help You Succeed?

• Strong applied ML engineering skills, including data integration, code quality, and production lifecycle.
• Experience in custom ML, with expertise in EDA, fine-tuning, and training models.
• Proficiency with multimodal unstructured data (video, audio, text, documents).
• Knowledge of GenAI, LLM architectures, and model orchestration (e.g., building RAGs).
• Cloud platform experience (Google Cloud preferred).
• Proficient in Python, particularly for video content processing and maintaining high code quality.
• 7+ years of experience in ML, with a strong foundation in NLP, vision, and generative AI.
• Familiarity with tools like Vertex AI, Langchain, Dialogflow CX, and CICD best practices.

Why Join? This role offers the opportunity to work on pioneering AI technologies, shaping the future of machine learning. If you're passionate about pushing the boundaries of generative AI and have the skills to back it up, we’d love to connect.

Application Process: Greencode Software will handle initial outreach. The final steps of the recruitment process will be conducted directly with our client.

Interested? Send your resume to [email protected] or connect with Julieta Raineri on https://www.linkedin.com/in/julieta-raineri/.