Tasks
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Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
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Analyzing and interpreting the findings
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Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
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Pre-sales activities
Requirements
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Min. 3 years of experience with Machine Learning (ML) and one of the following areas: Forecasting, Computer Vision (CV) or Natural Language Processing (NLP) projects
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Very good knowledge of Python
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Excellent English skills
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Familiarity with theory behind various machine learning concepts
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Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
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Basic skills in SQL
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Knowledge of specific DS/ML/CV/NLP libraries
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Pro-active and customer-oriented approach
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Strong business acumen
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Ability to come up with creative solutions to address customer problem
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Team-player mindset
Offer
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Stable employment. On the market since 2008, 1200+ talents currently on board in 7 global sites.
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“Office as an option” model. You can choose to work remotely or in the office.
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Flexibility regarding working hours and your preferred form of contract.
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Comprehensive online onboarding program with a “Buddy” from day 1.
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Cooperation with top-tier engineers and experts.
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Certificate training programs. Lingarians earn 500+ technology certificates yearly.
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Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
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Grow as we grow as a company. 76% of our managers are internal promotions.
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A diverse, inclusive, and values-driven community.
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Autonomy to choose the way you work. We trust your ideas.
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Create our community together. Refer your friends to receive bonuses.
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Activities to support your well-being and health.
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Plenty of opportunities to donate to charities and support the environment.
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Modern office equipment. Purchased for you or available to borrow, depending on your location.