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Senior ML/Data Scientist Engineer

Bulgaria / Czech Republic / Poland / Remote

About Akvelon

🌎Akvelon is an American company with offices in Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.

As a Senior Data Scientist, you will define the product strategy through measurement design, experimentation and causal analyses and support product decisions. Engineer will partner with other data scientists, machine learning engineers, product Managers, and designers, to drive community growth and discovery, user participation and engagement.

Requirements

🔸Experience with NLP issues and NN architectures, for example, text processing, classification, learning representations, machine translation, learning to rank, question answering, NER, semantic similarity, LLMs, Transformers, Encoder/Decoder, among other;
🔸2+ years of experience with applied machine learning models with Tensorflow/Pytorch with large-scale ML systems ;
🔸3+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models;
🔸Proficiency with one of the programming languages (Java, Python, Golang, C++, or similar) and statistical analysis;
🔸Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset;
🔸Great communication and presentation skills;
🔸Upper-Intermediate or higher level of English.

Nice to have

🔸
Recommendation systems, reinforcement learning, ML and exposure to training and evaluating models, as well as moving them to a production environment and maintaining them / continuous training.


Responsibilities

🔸Build the long term product vision and strategy for the ranking and personalization function;
🔸Become the resident subject matter expert for content understanding, client’s recommendation systems, and their effects/outcomes on business metrics as well as the ecosystem of client’s communities;
🔸Build out ML capabilities, features and offline models;
🔸Generate data-driven insights that propose next steps in strategic roadmaps;
🔸Design and evaluate experiments for product feature experiments to understand the effectiveness of product strategy;
🔸Work cross functionally with a variety of teams that depend on feeds ranking;
🔸Scale your work through reproducibility and enable it’s extensibility to future personalization problems.

Overlap time requirements

🔸
Overlap till 10am PST on a daily basis.

Working Conditions and Benefits

🔸Paid vacation and sick leave (without requiring a sickness list);
🔸Health insurance;
🔸Official state holidays — 11 days considered public holidays;
🔸Opportunities for professional growth through challenging projects and the possibility to switch roles, master new technologies, and improve skills with company support;
🔸Flexible working schedule: 8 hours per day, 40 hours per week, with 2-3 hours of overlap with PST;
🔸Personal Career Development Plan (CDP);
🔸Employee support program (Discounts, Care, Health, Legal compensation);
🔸Paid external training, conferences, and professional certification aligned with the company’s business goals;
🔸Internal workshops and seminars;
🔸Corporate library (paper and e-books) and internal English classes.

If you are a motivated and talented ML/Data Scientist Engineer seeking a challenging opportunity with a global technology company, this position is perfect for you.

Anzhelika Mumriak

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