We are looking for a passionate, ambitious ML Engineer that wants to break boundaries, move mountains, and shape the future of AI. Our ideal candidate is a true expert in their field, develop cutting-edge technologies, and strives to get the best user experience and efficiency for our customers.
Requirements
- 5+ years of industrial experience with ML, including training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production
- Proven experience with modern DL techniques and Gradient Boosting Trees
- Excellent Python coding skills
- Proficiency with ML libraries (TensorFlow, PyTorch, LightGBM, Scikit-learn)
- Vast practical experience with tabular data and time series
- Experience in Microservices architecture, cloud technologies, Docker, Kubernetes
- Fluent English
Will be a plus
- M.Sc. in computer science with a thesis in ML. PhD
- Experience with ML “understanding” techniques: explainability, confidence, drift, etc
- Experience designing and implementing AutoML flows/frameworks
- Experience with data pipelines / big data
Responsibilities
- Own, design, and develop AI ML pipelines: be responsible for efficient model training, testing, deployment, and monitoring
- Apply your scientific knowledge to analyze and collect data, identify problems, devise solutions and construct methodologies
- Develop machine learning and deep learning models for tabular data (later: time series, NLP, CV, etc.)
- Learn and implement cutting-edge ML algorithms
- Create and automate data pipelines including data extraction, validation & anomaly detection, indexing, and other data-related tasks
- Follow your project from ideation to implementation
- Contribute to a wide variety of projects using a range of technologies and tools
What we offer
- Competitive salary
- Medical insurance
- Tax compensation
- Full remote
About the project
Our new client is a young and ambitious startup that makes difficult things more accessible. They are creating unique and brand-new products for building pipelines and creating models for analysis and predictions. The customers will get many advantages because the product has a convenient web interface and can connect to multiple databases.
This product uses cutting-edge technologies that will increase the efficiency of small and medium-sized businesses. Also, there is no need to write code. Our client’s mission is to make business-centric AI easy to use, safe, and accessible to everyone.
