Jobtie/Jobs/Senior Machine Learning Engineer

Senior Machine Learning Engineer
- BR +1 more
- Remote
- Full-time
- $20K/yr - $60K/yr
- Senior Level
About the role
No software farms and no part-time jobs at the moment. We build our software in-house.
Looking for a Machine Learning Engineer with interest in product. As we are an early-stage startup, the range of projects is quite broad, so fluency and willingness to go across the stack to solve problems are a big plus. Experience with system design is also a plus.
Minimum qualifications:
- Fluency in Python
- Experience with System Design
- Fluency in English
- Experience building production machine learning systems
- Experience with Machine Learning Research
- Experience creating backend systems in Python
Projects include:
- Developing and Serving Machine Learning models
- Optimizing ML models i.e. fine-tuning, prompt engineering
- Data preparation and cleaning
- Maintaining our Python backend
At Findly, we created a culture where developers have complete ownership of the projects and tools they build, from prototyping to deploying it on prod.
About the company
Findly.ai - Co-pilot for Business Intelligence ๐๐ฏ
Findly.ai is the co-pilot for Business Intelligence that revolutionizes how businesses understand and interact with their data. By creating an engaging chat environment, it empowers decision-makers to gain insights, request reports, and generate visualizations based on their company's metrics. This seamless interaction is made possible by integrating a metric layer that comprehends all your company's metrics. The chat-based exploration simplifies complex data analysis, allowing users to generate comprehensive summaries with a single click, which can be exported to various formats. Furthermore, with the introduction of scheduled chats and action-triggered automations, Findly.ai enhances the autonomy and efficiency of decision-makers. It's more than a tool; it's a decision-making operational system aiming to facilitate decision-makers in achieving their KPIs while spending less time waiting for data.