Данные и ML вакансии

Вам предстоит: Проектировать и развивать Data Lakehouse платформу; Разрабатывать ETL/ELT пайплайны на базе Spark, DBT и Trino;

Ищу DS / MLE уровня Mid+ или Senior, который умеет разрабатывать сложные модели, проверять исследовательские гипотезы и доводить решения до продакшена.

🌸Assist the Data Analytics team in delivering cutting-edge analytics, structured reporting, and modern AI/automation solutions for global business stakeholders; 🌸Perform comprehensive data quality checks, troubleshoot data anomalies across ERP and reporting systems, and coordinate with senior team members for escalations;

Мы в поисках Data Analyst (Data Science) в команду Computer Vision. Отличное знание Python и ML-стека: pandas, numpy, scikit-learn, бустинги (CatBoost/LightGBM/XGBoost), SHAP;

Location: Argentina; Ukraine; Poland; Brazil; Georgia; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Data Engineer to join a small, cross-functional engineering team modernizing a data platform for a global financial services client. You’ll be working hands-on with Snowflake and dbt — designing data models, migrating legacy Oracle-based ETL processes, and contributing to architectural decisions alongside client stakeholders. This is a delivery-oriented role with real ownership. You’ll take responsibility for assigned components end to end, participate in client-facing technical discussions, and work directly with both engineering and business teams to define and implement solutions. WHAT YOU’LL DO - Design, develop, and optimize data models and transformation workflows using Snowflake and dbt. - Contribute to the design and implementation of scalable data architecture covering raw through semantic data layers. - Support modernization of existing Oracle-based ETL and reporting processes. - Investigate and address data performance, consistency, and reconciliation challenges. - Develop and maintain data processing, transformation, and automation solutions using Python. - Participate in solution design discussions and contribute to architectural decisions. - Support DevOps-related activities including deployment, configuration, and operational aspects of the data platform. - Take ownership of assigned technical components and deliverables within the team. - Participate actively in client-facing technical discussions and project meetings. REQUIRED SKILLS & EXPERIENCE - Strong hands-on experience with Snowflake — data transformation, modeling, and performance optimization. - Solid understanding of data modeling principles, data architecture, and scalable data solution design. - Practical experience with dbt for developing and maintaining data transformation workflows. - Proficiency in Python for data engineering, scripting, and automation. - Experience with ETL/ELT processes and modern data pipeline development. - Familiarity with DevOps practices and containerized environments including Kubernetes. - Strong analytical and troubleshooting skills around data quality, performance, and reconciliation. - Good communication skills — able to collaborate directly with client stakeholders and participate in regular technical discussions with US-based teams. - English proficiency sufficient for regular technical discussions with US-based teams. PREFERRED QUALIFICATIONS - Experience with Oracle databases, Oracle ETL, and legacy reporting environments. - Prior involvement in data platform modernization or migration from Oracle to Snowflake. - Experience with Power BI and semantic reporting models. - Snowflake professional certification. - Experience designing and optimizing analytical data models for enterprise reporting. - Experience working with distributed, cross-functional engineering teams. - Background in insurance, reinsurance, or financial services. - Availability for occasional business trips to St. Louis, USA — approximately once every three weeks for one to two days. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Build detection that fires early . A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars.

-Разрабатывать computer vision и machine learning решения для архитектурных чертежей, технических документов, CAD и BIM-данных. -Строить пайплайны, объединяющие растровые изображения, векторную геометрию, структурированные инженерные данные, OCR и ML-модели.

-Проектировать структуры операционных хранилищ и модели мастер-данных. -Разрабатывать процессы загрузки, обработки, хранения и передачи данных.

• Architect on‑prem & cloud data platforms. • Build data ingestion, pipelines & ETL/ELT.

You’ll design and implement scalable, efficient, and reliable data architectures that support business and analytical needs. You’ll build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data.

Развитие классификатора данных для полей БД (Tabular ML). Развитие существующей ML-модели (RandomForest), которая выявляет ПДн в полях баз данных на основе метаданных и значений.

Разработка и поддержка ETL/ELT-процессов. Построение и поддержка витрин данных для аналитики.

• Обучать модели принятия решений для классификации, выбора и оценки; проверять калибровку вероятностей, качество и скорость инференса.

Mistral is looking for a Research Engineer GPU Performance to optimize generative AI model training and inference on GPUs.

•Independently lead and/or perform all data management activities within an assigned study (e.g., study startup, study conduct, study closeout, and reporting). •Serve as the data management SME on multidisciplinary project teams providing specific expertise on timeline development, identification of data management deliverables and resource requirements.

​​​​​​ анализ данных и проверка гипотез для решения бизнес-задач; разработка и валидация ML-моделей (регрессия, классификация, кластеризация, ансамбли) feature engineering: подготовка и проектирование признаков;

​​​​Исследование и внедрение современных архитектур, а также подходов к обучению моделей. Разработка AI-агентов прогнозирования.

Location: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who We Are Sensor Tower is the leading solution for mobile marketers, app developers, and industry analysts who demand superior competitive insights into the mobile market economy and are looking to increase app downloads through app store optimization. We serve independent and Fortune 500 customers alike, spanning the mobile games, travel & hospitality, music, finance, and broadcast entertainment markets. Our suite of products consist of free, “SMB”, and Enterprise-tiered solutions including Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence. Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters. Role Summary As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred engineers globally and are preparing for much more growth in the coming years. We are looking for an experienced and passionate professional to focus on developing our products in the fast-growing exciting environment. You will report to our Engineering Manager while working closely with the cross-functional product development team and founders. What You’ll Do - Take end-to-end ownership of the data product lifecycle - from business understanding, data analysis, product design, development, deployment, to delivery. - Think beyond coding: bring strong product sense, flexibility in problem-solving, and the ability to proactively align technical solutions with business needs. - Drive communication and coordination across teams to clarify or redefine goals, ensuring data products meet evolving business requirements. - Develop high-quality data programs using PySpark, with strong ownership of data mining and processing challenges. - Conduct code reviews, software design and architecture, and pair programming. - Collaborate closely with product managers and data scientists to design and deliver impactful data products. - Explore and evaluate new technologies in the Data ecosystem, sharing insights with the team. What We’re Looking For - 5+ years experience working on Data Modeling and Data Analysis domain. - Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow. - Experience in Pandas, Sklearn or other data science and data analysis toolset is a big plus. - Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus. - Solid grasp of modern software development lifecycle. - Ability to efficiently navigate complex multiconstraint decision-making. - Experience working in a diverse and international environment. - Experience in the mobile app, advertising, or gaming ecosystem. - Experience with product design and infrastructure challenges. - Major in Math or Computer Science. Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   Our benefits include: - Flexible time off so employees can shape their time away from work. - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness. - Wi-Fi Allowance. - Monthly internet stipend and a one-time $500 home office stipend.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.