Position: Machine Learning Engineer
Company: MWDN
Experience required: 5y
Category: Data Science
English level: upper
Published: 2023-06-01T00:00:00+03:00

MWDN company is looking for a self-motivated and goal-oriented Machine Learning Engineer to join our creative team remotely. If you love creating a great product and achieving great results using best practices, enjoy challenges, and are eager to work with modern methods in the context of our project, feel free to apply, we will be happy to conduct an interview with you.

Requirements:
- 5+ years of experience developing ML algorithms, ability to take a project from inception to production independently 
- In-depth knowledge of Python programing language
- Familiarity with statistical modeling techniques and machine learning
- Good understanding of data storage, processing, and retrieval best practices
- Relevant Degree - priority to Statistics, Computer Science, Industrial Engineering
- An upper-Intermediate level of English is a must-have for this position

Will be a plus:
- DevOps abilities and cloud knowledge
- Familiarity with Docker, k8s and auto-scaling

Responsibilities:
- A fast learner who can quickly pick up new technologies and algorithms, and be able to fit ideas into the existing infrastructure while performing ongoing optimization
- Develop an automated tool to collect content and generate insights on a variety of topics
- Research and develop state-of-the-art machine learning algorithms
- Collaborate closely with team members and customers on further development of our product.

Our next steps:
✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Client interview — ✅ Offer

Project description:
Do you like analyzing big data? Or, you may want to implement more machine learning in your work. Then, apply for the jobs provided by this company. Join an Israel-based team of professionals with extensive experience in delivering B2G solutions. Gather data, analyze data, and help the company’s proprietary technology to make the best decisions on human selection.