Position: ML Engineer (Wand AI)
Company: SD Solutions
Category: Data Science
Experience required: 5y
English level: upper

Hello, all!
On behalf of Wand AI (ex. Wayto), SD Solutions is looking for **ML Engineer** who wants to break boundaries, move mountains, and shape the future of AI. Wand AI mission is to make business-centric AI easy to use, safe, and accessible to everyone. 
Our platform enables business users to build and run AI applications safety, quickly, and efficiently - allcodeless, self-serviced. 

We are looking for passionate, ambitious, and excellent engineers! Wand AI engineers are Kubernetes experts, develop cutting edge technologies and strive to get the best user experience and efficiency for our customers.

**What will you do with us?**

- Own, design, and develop Wand AI ML pipelines: provide efficient models 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 hard skills do we need?**

- **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**.
- Experience with ML “understanding” techniques: **explainability**, **confidence**, **drift**, etc.
- **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.

**Advantages:** 

- **M.Sc.** in computer science with a thesis in **ML**. **PhD.**
- Experience with **data pipelines / big data.**
- Experience designing and implementing **AutoML** flows/frameworks.

**What soft skills do we appreciate?**

- Fluent English.
- Initiative, proactive person.