Senior Machine Learning Engineer - Python, FastAPI - Artificial Intelligence / Machine Learning market
7+ years
Short-term (40h)
Artificial Intelligence / Machine Learning
Full Remote
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.)