Data Scientist / ML Engineer
Andersen · 3 425–5 400 RUB · Puerto Rico, Palestine, State of, Portugal, Palau, Paraguay, Qatar, Åland Islands, Andorra, The United Arab Emirates, Afghanistan, Antigua and Barbuda, Anguilla, Albania, Armenia, Angola, Antarctica, Argentina, American Samoa, Réunion, Austria, Australia, Aruba, Azerbaijan, Romania, Bosnia and Herzegovina, Barbados, Serbia, Belgium, Burkina Faso, Rwanda, Bulgaria, Bahrain, Burundi, Benin, Saint Barthélemy, Bermuda, Brunei Darussalam, Plurinational State of Bolivia, Saudi Arabia, Solomon Islands, Bonaire, Sint Eustatius and Saba, Seychelles, Brazil, The Sudan, The Bahamas, Bhutan, Sweden, Singapore, Bouvet Island, Saint Helena, Ascension and Tristan Da Cunha, Botswana, Slovenia, Svalbard and Jan Mayen, Belize, Slovakia, Sierra Leone, San Marino, Senegal, Somalia, Canada, Suriname, South Sudan, The Cocos (Keeling) Islands, Sao Tome and Principe, The Democratic Republic of the Congo, El Salvador, The Central African Republic, The Congo, Sint Maarten (Dutch Part), Switzerland, The Syrian Arab Republic, Côte D'ivoire, Eswatini, The Cook Islands, Chile, Cameroon, Colombia, The Turks and Caicos Islands, Costa Rica, Chad, The French Southern Territories, Cuba, Togo, Cabo Verde, Curacao, Christmas Island, Tajikistan, Cyprus, Tokelau, Czech Republic, Timor-Leste, Turkmenistan, Tunisia, Tonga, Turkey, Trinidad and Tobago, Germany, Tuvalu, Tanzania, the United Republic of, Djibouti, Denmark, Dominica, The Dominican Republic, Ukraine, Uganda, Algeria, The United States Minor Outlying Islands, Ecuador, USA, Estonia, Egypt, Western Sahara, Uruguay, Uzbekistan, The Holy See, Eritrea, Saint Vincent and the Grenadines, Spain, Ethiopia, Bolivarian Republic of Venezuela, British Virgin Islands, U.S. Virgin Islands, Vanuatu, Finland, Fiji, The Falkland Islands (Malvinas), Federated States of Micronesia, The Faroe Islands, France, Wallis and Futuna, Gabon, The United Kingdom of Great Britain and Northern Ireland, Samoa, Grenada, Georgia, French Guiana, Guernsey, Ghana, Gibraltar, Greenland, The Gambia, Guinea, Guadeloupe, Equatorial Guinea, Greece, South Georgia and the South Sandwich Islands, Guatemala, Guam, Guinea-Bissau, Guyana, Kosovo, Hong Kong, Heard Island and Mcdonald Islands, Honduras, Croatia, Yemen, Haiti, Hungary, Mayotte, Ireland, Israel, Isle of Man, India, The British Indian Ocean Territory, South Africa, Iceland, Italy, Zambia, Jersey, Zimbabwe, Jamaica, Jordan, Japan, Kenya, Kyrgyzstan, Cambodia, Kiribati, The Comoros, Saint Kitts and Nevis, Korea Republic, Kuwait, The Cayman Islands, Kazakhstan, The Lao People's Democratic Republic, Lebanon, Saint Lucia, Liechtenstein, Liberia, Lesotho, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, The Republic of Moldova, Montenegro, French Part Saint Martin, Madagascar, The Marshall Islands, North Macedonia, Mali, Myanmar, Mongolia, Macao, The Northern Mariana Islands, Martinique, Mauritania, Montserrat, Malta, Mauritius, Maldives, Malawi, Mexico, Malaysia, Mozambique, Namibia, New Caledonia, The Niger, Norfolk Island, Nigeria, Nicaragua, The Netherlands, Norway, Nepal, Nauru, Niue, New Zealand, Oman, Panama, Peru, French Polynesia, Papua New Guinea, Poland, Saint Pierre and Miquelon, Pitcairn · сайт компании · опубликовано 1 июня 2026 г.
Описание вакансии
Andersen is hiring a Data Scientist / ML Engineer for a project developing AI-powered solutions, scalable ML systems, and intelligent technologies for high-load digital platforms.
Andersen is a pre-IPO software development company that provides a full cycle of services, following project management standards and best practices. For over 19 years, we have been helping enterprises and middle-sized firms transform their businesses by creating effective digital solutions using innovative technologies.
The project is focused on building and deploying AI-powered safety solutions for a client platform. The core goal is to protect users through ML systems covering liveness detection, safety scoring, fraud & abuse detection, and audio analysis. The team works in a high-load, production-first environment, translating product hypotheses into scalable ML solutions.
Responsibilities
Designing and deploying CV models for liveness detection and anti-spoofing.
Building NLP pipelines for behavioral signal extraction and incident analysis.
Owning full ML lifecycle: data annotation, training, deployment, monitoring.
Developing and maintaining fraud & abuse detection systems.
Contributing to safety scoring using behavioral and historical data.
Integrating ML models with backend services and mobile infrastructure.
Participating in system architecture discussions.
Collaborating with the product team on hypothesis definition and validation.
Requirements
Experience in DS/ML with a strong focus on modern AI stack for 5+ years.
Hands-on experience with RAG systems: vector databases, embedding models, semantic search.
Practical LLM experience: fine-tuning, prompt engineering at system level, LLM evaluation.
Experience with audio/speech processing: ASR, speaker diarization, audio event detection, or conversation analysis.
Familiarity with GenAI product development and LLM-based reasoning pipelines.
MLOps skills: deploying and monitoring LLM/audio models in production.
Experience with streaming and async data pipelines.
Proficiency in Python and core DS/ML libraries.
Level of English – from Intermediate+ and above.
Nice to have
Understanding of safety, risk, or compliance contexts.
Why join us
Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
The opportunity to change the project and/or develop expertise in an interesting business domain.
Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
Certification compensation (AWS, PMP, etc).
Referral program.
Private health insurance and compensation for sports activities.
Join us!