Solvd
- Outsource
- 101-250
- 2011
- Київ, Чернівці, Warszawa
- Advertising / Marketing, Banking, Cloud technologies, E-commerce / Marketplace, Education / EdTech, FinTech, Healthcare / MedTech / LifeScience, Logistic, Media / Entertaiment, Mobile, Software Development & Hi-Tech, VR / XR, WEB / UI / UX
Вакансії Solvd
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We are building a cutting-edge Data Science team in our bank, focusing on integrating Data Science/Machine learning technologies into Bank’s services.
Our mission is to revolutionize the banking experience by leveraging Data Science/Machine learning for enhanced security, personalized customer interactions, and streamlined operations.
We utilize a range of modern technologies and methodologies to ensure our systems are robust, scalable, and secure.
We follow DevOps principles to maintain a seamless integration and deployment process, ensuring continuous delivery and continuous integration (CI/CD).
Our development practices are based on Agile methodology, specifically Scrum, to foster a collaborative and iterative approach to problem-solving.
As part of this innovative project, you will be at the forefront of integrating Data Science/Machine learning with financial services, addressing challenges in information security, fraud detection, customer service automation, and more.
This role offers the opportunity to work with a diverse range of technologies and contribute to a transformative initiative within the banking sector.
Required skills:
- 3+ years of experience as a DevOps engineer.
- Strong experience with Ansible and Terraform.
- 1+ years of experience with AWS (including maintenance of RDS).
- 1+ years of experience with Docker and Kubernetes.
- 1+ years of experience with RabbitMQ, PostgreSQL, MongoDB, ELK, Redis, and nginx.
- Strong knowledge of Linux (especially CentOS), OSI model, load balancing, clusterization, virtualization, and VMware.
- Experience in building CI/CD processes (experience with Git & Jenkins).
- Higher Education in a relevant field.
- Enthusiasm for exploring and implementing new technologies.
- Self-learning capabilities and a proactive attitude.
- Good communication and collaboration skills.
- Experience with AI/ML model deployment and monitoring.
- Knowledge of AI frameworks such as TensorFlow, PyTorch, or similar.
- Familiarity with data pipelines and tools like Apache Kafka and Spark.
- Understanding of MLOps practices and tools.
Desired skills:
- Experience with Vault, Consul, KeyCloak, Apiman, Prometheus.
- Experience with MLops tools: Feast,DVC,MLFlow
Scope of work:
- Creating and maintaining high-load platform;
- Implementing, configuration and deployment using Ansible;
- Working closely with Development to deploy new platform components and improve existing system;
- Responding reliably to on-call issues;
- Manage non-production integrative infrastructure and provide all its as a service;
- Drive the automation of multiple parts of infrastructure and deployment systems, striving to improve and shorten processes to enable engineering and operations teams work smarter and faster with a high quality.
- Setting up and maintaining a working DEV environment for the collective work of the Data Science team
- Develop and set up CI/CD pipelines for machine learning models.
- Participation in the operationalization/integration of developed machine learning models into the Bank's systems.
Why ПУМБ?
- Remote work/Comfortable work environment (your choice);
- Continuous professional competencies development and professional growth opportunities;
- Annual paid vacations ;
- Medical insurance;
- Friendly team of young and talented professionals.
Qualifications and Experience:
Required:
- Experience in formalizing software requirements and task assignment for developers.
- Proficiency in modeling languages BPMN and UML (Deployment, Component, Use Case, Sequence diagrams).
- Knowledge of web technologies, understanding the strengths and weaknesses of integration protocols (HTTP, SOAP, REST services, MQ, etc.).
- Skills in working with relational (SQL queries, database structures, transactions, indexes) and non-relational databases.
- Knowledge of authentication and authorization methods for applications.
- Understanding of types of non-functional requirements.
- Understanding of interaction diagrams between software components.
- Experience with SOAP/REST web services and formats like JSON, XML.
- Preferred experience with Jira, Git, Confluence.
- Strong analytical and communication skills.
- Experience in designing data storage structures.
- Experience in defining architectural solutions for automating business processes in banking or financial organizations.
- Experience in forecasting system behavior and identifying development paths.
- Knowledge of agile software development methodologies.
Functional Responsibilities:
- Identifying, collecting, analyzing, and formalizing software requirements.
- Writing technical documentation (functional and non-functional requirements) and determining the development sequence.
- Defining, elaborating, and describing architectural solutions, designing data storage structures.
- Participating in all stages of the SDLC: from task assignment to developers to delivery to the client.
- Evaluating the effectiveness of the bank's systems and determining their development directions.
Why ПУМБ?
Why ПУМБ?
— Remote wor
— Friendly team of experienced developers
— Flexible work schedule
— Completely “white salary”
- Python
- TensorFlow
- PyTorch
- scikit-learn
- XGBoost
- Apache Spark
- Dask
- AWS
- GCP
- Zipline
- Backtrader
- Docker
- Kubernetes
- CI/CD
We are looking for a Machine Learning/AI Engineer to build and optimize predictive models for the “Magnificent 7” stocks (NVDA, AAPL, META, TSLA, GOOG, MSFT, and AMZN), using techniques like time-series analysis, sentiment modeling, and advanced feature engineering.
As a Machine Learning/AI Engineer, you’ll design, implement, and maintain a range of advanced AI/ML models aimed at boosting trading performance. Using up to a decade’s worth of historical market data — collected daily, every 4 hours, or hourly — you’ll ensure robust, data-driven insights that power our core strategies.
Customer
The client is a fintech company that develops AI-driven trading solutions tailored to the stock market. Our goal is to design strategies that maximize risk-adjusted returns for portfolios.
Requirements
- At least 5 years of experience in Machine Learning or AI-related roles with a focus on financial data modeling, quantitative analysis, or algorithmic trading systems
- Proficiency in Python, with hands-on experience using libraries such as TensorFlow, PyTorch, scikit-learn, and XGBoost
- Familiarity with big data frameworks (e.g., Spark, Dask) and cloud platforms like AWS or GCP
- Proven track record of developing and deploying trading models or financial strategies
- Strong experience in time-series forecasting, financial data analysis, and feature engineering for stock market data, including technical indicators and sentiment analysis
- Expertise in hyperparameter tuning techniques, model optimization, and performance enhancement
- Solid foundation in statistics, probability, and optimization methods, with knowledge of risk management metrics such as Sharpe Ratio, Alpha, and Beta for portfolio optimization
- At least an Upper-Intermediate level of English
Will be a plus:
- Experience in proprietary trading, hedge funds, or asset management firms
- Knowledge of trading platforms such as Interactive Brokers, Alpaca, or similar systems
- Knowledge of options pricing, derivatives, or quantitative trading strategies
- Familiarity with alternative data sources, including news sentiment, social media trends, and other non-traditional datasets for market analysis
- Experience with transformer models (both language and visual)
- Hands-on experience with backtesting tools like Zipline or Backtrader
- Familiarity with Docker, Kubernetes, and CI/CD pipelines for scalable model deployment
Personal Profile
- Strong critical thinking and problem-solving skills, with the ability to assess and challenge model assumptions
- Excellent communication skills for presenting complex concepts
- Ability to work both independently and collaboratively in fast-paced, dynamic environments
Responsibilities
- Collect, clean, and preprocess historical financial data, extracting meaningful features such as moving averages, RSI, and volatility indicators to enhance model performance
- Design and train predictive models (e.g., LSTM, XGBoost, Random Forests) with rigorous backtesting, hyperparameter tuning, and evaluation using metrics such as Sharpe Ratio, Sortino Ratio, and Maximum Drawdown
- Deploy models in production environments, monitor performance, address data drift through retraining, and collaborate with teams to integrate insights into trading systems while maintaining thorough documentation
Do you have the power to attract top talents and turn them into loyal employees? Do you understand the specifics of the IT market? Are you eager to enhance both your communication and recruiting skills? If so, welcome to the Team.
We invite a professional Recruiter to work with a big team of result-oriented specialists. This is a challenging role with high expectations. You will have the opportunity to help find specialists who will work in cooperation with well-known customers from Western Europe and the USA.
Requirements
- At least 4 years of experience in recruitment at international companies
- Experience in negotiating with management
- Good knowledge of the IT market, its players, salary ranges, and market tendencies
- Good skills in candidate search and selection, including direct sourcing
- Good knowledge of full cycle recruitment process
- Сomprehensive understanding of the full-cycle recruitment process
- Experience in applying and fine-tuning processes for quick and smooth operation
- At least an Upper-Intermediate level of English
Personal Profile
- Strong interpersonal skills and the ability to manage complex relationships and navigate difficult conversations
- Proactive and result-oriented person
- Strong networking skills
Responsibilities
- Leading full-cycle recruitment (sourcing, identifying, evaluating, closing)
- Collaborating with hiring managers on role definition, pipeline calibration, interviewing preparedness, candidate assessment, and decision-making
- Creating and posting vacancies at different professional resources
- Proactively developing and executing candidate-generation strategies and ideas using all available recruiting tools
- Monitoring job market
- Taking part in PR events (job fairs, conferences, user groups, etc.)
- Preparing recruitment reports
- Maintaining candidate database
- iOS testing
- Swift
- Objective-C
- XCTest
- EarlGrey
- Appium
- Xcode
- Git
- GitHub Actions
- CircleCI
- Kotlin
- Java
- Sauce Labs
- Browserstack
- AWS Device Farm
We are looking for an experienced Mobile Test Automation Engineer with a strong background in testing iOS applications. In this role, you will collaborate closely with a team of mobile engineers to test mobile SDKs, integrated with mobile UI testing frameworks, with a primary focus on iOS platforms.
The Mobile Division’s mission is to develop cutting-edge tools and SDKs that enable developers to identify accessibility (a11y) issues during the development process. These tools are designed to help deliver more inclusive and accessible mobile applications, setting new standards for accessibility in the mobile industry.
Customer
Our Customer is the rapidly growing technology leader in digital accessibility software, helping enterprises make their web and mobile offerings accessible to everyone. Its AI-enabled products save developer time and reduce risk via proprietary discovery and analysis algorithms that integrate directly into software development pipelines.
Requirements
- A minimum of 3 years of experience in mobile application testing
- Proven experience in automation testing for mobile platforms, with a primary focus on iOS
- Proficient in at least one of the following programming languages: Swift or Objective-C
- Hands-on experience with mobile automation frameworks such as XCTest, EarlGrey, or Appium
- Familiarity with mobile operating systems and their debugging tools (Xcode for iOS, ADB for Android)
- Experience with Git and CI tools such as GitHub Actions, CircleCI
- At least an Upper-Intermediate level of English
Would be a plus:
- Experience working with Kotlin or Java
- Hands-on experience with device farms such as SauceLabs, BrowserStack, or AWS Device Farm
Personal Profile
- Strong analytical and algorithmic thinking, with a proven ability to identify root causes and suggest effective solutions
- Excellent attention to detail
- A mindset focused on continuous improvement and workflow optimization for both personal and team processes
Довідкова інформація
| Компанія: | Solvd |
|---|---|
| Адреса: | CA 95678, US, Roseville, 970 Reserve Drive, Suite 205 |
| Юридична назва: | ТОВ "СОЛВД" |
| Телефон: | +1 740-720-0223 |
| E-mail: | info@solvd.com |
| Офіційний сайт Solvd: | solvd.com |
Телефон, контакти компанії
- Roseville, 970 Reserve Drive, Suite 205;
- +1 740-720-0223;
- info@solvd.com;
- +380 93 722-07-77 – Київ;
- +380 (99) 078 51 06 – Чернівці;
- jobs@solvd.com
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