Ml Engineer (Nlp)

TL;DR

Ml Engineer (Nlp): Researching, developing, and integrating advanced machine learning models focused on natural language processing and large language models into client applications with an accent on transformer models, RAG, and LangChain. Focus on optimizing ML solutions, experimenting with new techniques, and collaborating with a global remote team.

Company

hirify.global is a remote-first product design, engineering, and marketing studio founded in 2012, building AI-powered web and mobile apps for big brands and startups.

What you will do

• Develop and maintain advanced ML models focusing on NLP and LLMs.
• Implement and optimize ML solutions for diverse client applications.
• Integrate AI models with development teams and existing systems.
• Experiment with new models and techniques to improve performance.
• Participate in code reviews and contribute to internal knowledge base.
• Stay updated on latest AI and ML developments.

Requirements

• Fluent English (C1) required for effective collaboration with international team.
• Strong knowledge of ML fundamentals and NLP/LLM expertise.
• Experience with Python, SQL, TensorFlow or PyTorch, and AWS cloud services.
• Ability to adapt quickly to new technologies and problem domains.
• Proven experience integrating ML models into data-driven systems.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Culture & Benefits

• 100% remote work with flexible working hours aligned to North American time zones.
• Paid vacations, sick leave, and holidays.
• Accounting assistance and well-being budget.
• Reimbursement for professional development courses and certifications.
• Hardware provided based on business needs.
• Collaborative and innovative work environment with growth opportunities.

Hiring process

• Short interview with HR.
• Technical interview with ML Engineer and CTO (optional).
• Technical interview with live coding challenge.
• Offer.