Position: Machine Learning Enthusiast / Evangelist
Company: Yalantis
Category: Python
Experience required: 5y
English level: fluent

During our twelve-year journey, we help our clients to create applications and enterprise ecosystem from scratch in order to achieve their business goals.
We’re looking for a Machine Learning Enthusiast / Evangelist with experience of building production-ready and efficient ML solutions and strong will to spread knowledge on ML techniques and practices in a company.



**Responsibilities: **
Propose and implement the best engineering and research practices for scaling ML-powered features, with a goal to enable fast iteration of and efficient experimentation with novel features;
Help drive engineering-wide initiatives with other engineering leaders;
Contribute to and influence the ML infrastructure roadmap based on the feedback from customers;
Develop new models for different recommender systems within our product (classification, clusterization, etc.);
Act as a bridge between the business and technical stakeholders in the development of new ML models and data solutions;
Identify new opportunities to leverage data science to different parts of the various Yalantis projects;
Research, patterns identification and formulating insights;
Willing to participate in employee education and trainings;
Build the ML infrastructure and platform to accelerate and make its development accessible and efficient to all engineers.


**These will help you do the job:**
Has a strong track record of building and managing productive engineering teams;
Hands on experience with ML concepts: regression and classification, clustering, feature selection, feature engineering, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.;
Experience working in Linux, Unix environment;
Experience with AWS and AWS Machine Learning services (such as AWS Personalise, SageMaker etc);
Good knowledge of one of the programming languages: Python, Go, Java;
Has hands-on experience as a senior engineer;
Has experience translating a high-level strategy and roadmap into an execution plan;
Can effectively set and communicate priorities for themselves and their team;
Can successfully coordinate, empower, and direct multiple stakeholders, details, and timelines toward a specific goal;
Brings a solid understanding of ML development lifecycle and tools, including some domain experience with ML, deep learning, or NLP;
Holds a master’s degree in computer science, engineering, or math.


**What you’ll get from working with us:**
Great compensation and social packages
Full financial and legal support for private entrepreneurs
Opportunities for professional growth
Individual development plan and a mentor to guide you
Team buildings and corporate activities
We do not invite you to one project, but to a permanent job in our company. We expect our future colleague to have passion for solving challenging problems and effectively cooperate with the team. Join us and send your CV