Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Designing and implementing machine learning solutions across multiple projects, with an accent on ML algorithms, DL and Foundation Models. Focus on developing robust, scalable systems and improve them over time.

Location: Remote and flexible

Company

hirify.global, a globally distributed tech consultancy based in Silicon Valley.

What you will do

• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.

Requirements

• 4+ years of ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)
• Experience building GenAI solutions using LLMs, including frameworks like LangChain and LlamaIndex, prompt engineering, fine-tuning and serving models, and implementing common patterns like RAG and NLQ
• Client-facing experience
• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Nice to have

• Experience with MLOps, preferably in AWS (e.g: Sagemaker), as well as standards tools (e.g. MLFlow)
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings.

Culture & Benefits

• Every other Friday off (26 extra days off a year)
• Remote and flexible
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Access to hirify.globalLabs™, our internal research and development program
• Mental wellness programs