Solutions Engineer

vor 3 Wochen

Lucerne, Schweiz toloca Vollzeit

Description

Technical Solutions Engineers play a key role in our company, ensuring the top-level delivery of our product, its correct configuration and deployment to solve our customer’s needs and give them a great experience working with us

We are looking for a person with more than 3 years of solid technical background, who’s comfortable working in technical environments, solving data-related tasks using Python. You should also be a good communicator, able to engage with our customers directly and work in cooperation with our commercial team.

Company Intro

Toloka AI is a global tech company that offers end-to-end data labeling solutions based on the effective combination of public crowd, domain experts and ML. Toloka has one of the most advanced annotation platforms in the market together with huge experience gathered by the whole team. Our solutions are powered by the most diverse global crowd from 100+ countries speaking 40+ languages and extensive experience in the practical application of SOTA models.

We bring together talents from all over the world to form our team of professionals. Our team is globally distributed and works from several locations, including the USA, the Netherlands, Israel, Czech Republic, Serbia, and more. Our products provide access to human-powered data and are used by leading tech companies including Big Tech companies: Samsung, AliExpress, Bestplace, Handl, JetBrains, Leroy Merlin, Naver Labs, Replika, Trivago and many more. Working at Toloka unlocks the door to being able to work on global projects and our commitment to personal and professional growth.

Responsibilities

There are 3 main tracks of responsibilities in this position:

1. Client-facing Communication

Analyse customers’ requirements and understand their needs to create the project that will bring value to them; Support communications with clients during the pre-sales/project execution process and help formulate requirements and expectations from projects/solutions; Cooperate with the Sales and Customer Success teams to ensure top-tier delivery of our product; Understand technical language due to the nature of our AI-centered product.

2. Solution building & delivery

Prepare solution design with an optimal usage of Toloka data labeling stack; Configure data labeling components and join them into automatic pipelines for various ML training purposes; Conduct experiments ensuring the pipeline designed is delivering the data of desired quality and with the desired speed; Provide overall technical leadership during projects implementation.

3. Solution maintenance

Monitor the solutions’ performance and react to alerts and incidents; Analyse data to find error patterns and improve the solution’; Continuously work on the solution optimisation utilizing new technologies and approaches; Troubleshoot any process/technical issues in cooperation with the support team as needed.

Requirements

Experience as technical solution engineer, data/system analyst, data scientist or technical project manager. Account managers/sales people with a strong technical background are also welcome; Experience in creating and understanding complex solutions, building pipelines with multiple stages and thinking critically; Experience in Python (pandas, numpy, using API, SDKs etc.). Experience with AirFlow is a big plus; Understanding of basic software development principles, including version control, testing etc; Knowledge of basic statistics, understanding of data quality metrics (accuracy, precision, recall, f1 etc.); Knowledge of general ML concepts, general understanding of LLMs in particular. Experience in prompt engineering is a big plus; Confidence to communicate with data engineers and developers from leading tech companies in the same language; Interest in continually learning and developing your knowledge and understanding of crowdsourcing/data science; Familiarity with fast-paced environments where you manage multiple projects and handle large amounts of data, sometimes outside regular office hours.

Would be nice to have

Experience working on crowdsourcing and/or machine learning projects.

Benefits

Personal and career development: we support employee’s ambition for professional development and encourage them to implement their ideas in their projects; Flexibility: we offer remote or hybrid employment. You will also design with your manager a workday that works best for you; Paid parental leave and sick leave; Medical insurance fully covered for the employee + 80% of coverage for family members; Meal allowance, transportation expenses reimbursement; 25 vacation days per year.

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