Senior Machine Learning Engineer

  • Closed
  • US Company | Micro ( employees)
  • LATAM (100% remote)
  • 7+ years
  • Short-term (40h)
  • Artificial Intelligence / Machine Learning
  • Full Remote

Required skills

  • Python
  • FastAPI
  • PostgreSQL
  • AWS
  • LLM

Requirements

Must-haves

  • 7+ years of software development experience
  • Proficiency in Python
  • Experience with backend frameworks like FastAPI and asynchronous programming using asyncio
  • Practical expertise in applying AI
  • Experience integrating LLMs into applications, with advanced proficiency in RAG techniques and LLM evaluation methods
  • Strong experience with PostgreSQL for database design, optimization, and querying
  • Experience working with keyword and vector search technologies, including multimodal search with data types like text, images, and embeddings
  • Proficiency in building and maintaining ETL pipelines and web scraping, including handling dynamic content and large-scale data extraction
  • Familiarity with tools like Scrapy for web scraping
  • Hands-on experience with AWS services (e.g., EC2, S3, ECS, SQS)
  • Experience with Linux server configuration, management, and Bash scripting for automation
  • Proficiency in containerization using Docker and CI/CD practices with Git and related tools (e.g., GitHub workflows)
  • Interest in developing single-agent and multi-agent workflows for complex task handling
  • Strong communication skills in both spoken and written English

Nice-to-haves

  • Startup experience
  • Ability to design and manage cloud infrastructure, including scaling, monitoring, and cost optimization
  • Bachelor's Degree in Computer Engineering, Computer Science, or equivalent

What you will work on

  • This is a full-time role (40 hours / week) for a 3-6-month contract.
  • It requires minimum overlap of 6 hours per day with the US Eastern Time Zone
  • Lead the development of an AI-native system to distill insights from extensive market, trend, retail, and customer data
  • Design and implement backend infrastructure, including web scraping, LLM integration, model selection, and evaluation
  • Collaborate to ensure seamless integration of systems with secure client-server communication
  • Work with technologies such as relational databases, vector databases, and LLM functions (e.g., GPT, embeddings, etc.)