Senior Machine Learning Engineer

Seniority 7+ years

Commitment Short-term (40h)

Industry Artificial Intelligence / Machine Learning

Work model Full Remote

Required skills

Python

FastAPI

PostgreSQL

AWS

LLM

Requirements

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

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

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.)

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