Experience Requirements:

• 2-4 Years of experience

• Strong hands-on experience in Java 8, Spring Framework, Python, and RESTful APIs within a microservices-based architecture

• Prior experience working in the Wealth Management or Financial Services domain (Preferred)

• Exposure to Agile/Scrum methodologies (Preferred)

Other Requirements:

• Strong hands-on experience in Java 8 and Spring Framework

• Experience with Python for scripting or back-end logic

• Strong background in RESTful API development in microservices architecture

• Proficiency in Oracle/PL-SQL; experience with MongoDB or other NoSQL databases is a plus

• Good understanding of complex system architecture and design patterns

• Familiarity with integration of front-end components (e.g., React or Angular) via REST APIs

• Knowledge of software development best practices, testing strategies, and version control tools

• Ability to troubleshoot and resolve issues in a fast-paced development environment

• Work Authorization: Open to all visa types

Responsibilities:

• Collaborate with Business Analysts to gather requirements and translate them into technical solutions

• Design, develop, test, and implement scalable and maintainable backend services

• Build and maintain RESTful APIs and integrate them with front-end modules

• Participate in application enhancements, debugging, and performance tuning

• Resolve Oracle/PL-SQL performance issues and optimize queries

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Experience Requirements:

• 3+ years commercial experience in software engineering with Python

• Strong programming skills in Python (clean code, OOP)

• Hands-on experience with LLMs and Generative AI

• Experience with backend frameworks (FastAPI) and SQL/NoSQL databases

• Practical experience in cloud environments (AWS, GCP, Azure)

Other Requirements:

• Personal project or practical frontend experience (React, Node.js, Nest.js, Typescript)

• Practical experience and strong interest in Data Science and Machine Learning

• Curiosity about latest trends in GenAI (IDP, Embeddings, Vector Databases, OpenSource LLMs)

Responsibilities:

• Support the development of scalable AI systems, including LLMs and GenAI, under the guidance of senior engineers

• Assist in transforming Data Science prototypes into production-ready solutions

• Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI

• Ensure code quality and implement good software engineering practices

• Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure)

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems

• Strong programming skills in Python: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Familiarity with Big Data technologies like Airflow or Dagster, Databricks, Spark, Azure Event Hub or Kafka

• Experience implementing and deploying solutions in cloud environments (with a preference for Azure)

Other Requirements:

• Knowledge of how to build and deploy Power BI reports and dashboards for data visualization

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

Responsibilities:

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building

• Develop and organize data transformations using Databricks/DBT and Apache Airflow

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• At least 1 year of proven commercial experience developing, or maintaining Big Data systems

• Hands-on experience with Big Data technologies, including Databricks, Apache Spark, Airflow, and DBT

• Strong programming skills in Python: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Experience implementing and deploying solutions in cloud environments (with a preference for Azure)

Other Requirements:

• Practical knowledge of DevOps practices, including designing and maintaining CI/CD pipelines for data and ML workflows, and Terraform for Infrastructure as Code

• Knowledge of how to build and deploy Power BI reports and dashboards for data visualization

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

Responsibilities:

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building

• Develop and organize data transformations using Databricks/DBT and Apache Airflow

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s degree in technical or mathematical studies

Experience Requirements:

• At least 4 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes

• Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design

• Hands-on with Big Data technologies like Spark, Cloudera, Data Platform, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino or Hudi

• Excellent understanding of dimensional data and data modeling techniques

• Experience implementing and deploying solutions in cloud environments

Other Requirements:

• Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant

• Ability to work independently and take ownership of project deliverables

• Fluent English (at least C1 level)

• Experience with an MLOps framework such as Kubeflow or MLFlow

• Familiarity with Databricks, dbt or Kafka

Responsibilities:

• Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability

• Design and implement data pipelines that process large volumes of data in both streaming and batch modes

• Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow

• Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently

• Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or higher in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• Proven track record in managing technical teams and leading end-to-end projects

• Experience working with international corporate clients

Other Requirements:

• Strong critical thinking and problem-solving abilities

• Excellent communication and presentation skills

• Advanced English Skills – C1 proficiency level or higher

• Proficiency in Python, cloud platforms (preferably Azure, AWS), and SQL

• Hands-on experience with Data Science or Big Data applications and tools (LLM, Generative AI, Machine Learning, Computer Vision, Predictive Modeling)

Responsibilities:

• Be responsible for project management and technical leadership for data science and big data projects. Maintaining top-quality and client-focused deliverables to meet and exceed their expectations towards delivered solutions

• Manage and mentor a team of data scientists, ensuring they are engaged, motivated, productive, and are provided with regular feedback to support growth

• Act as a trusted advisor, proposing effective approaches and data science architectures tailored to client needs

• Identify opportunities to expand service offerings and project potential with clients

• Take part in pre-sales activities, connecting technical solutions to client needs

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, NLP, Computer Vision, GenAI)

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow)

• Proven expertise in deploying solutions in cloud environments (AWS or Azure)

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

Other Requirements:

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

• Familiarity with MLOps practices, Kubernetes and Docker

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Understand clients’ needs and translate business problems into data science problems

• Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• 6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI)

• Experience in leading end-to-end Machine Learning projects and managing cross-functional teams

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow)

• Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure)

Other Requirements:

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills

• Understand clients’ needs and translate business problems into data science problems

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or higher in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• Proven track record in managing technical teams and leading end-to-end projects

• Experience working with corporate clients

• Hands-on experience with Data Science applications (NLP, Computer Vision, Generative AI, Machine Learning, Predictive Modeling)

• Hands-on experience in ETL, data preparation, and data wrangling techniques

• Proficiency in Python and cloud platforms (preferably Azure, AWS)

Other Requirements:

• Strong critical thinking and problem-solving abilities

• Excellent communication and presentation skills

• Advanced English Skills – C1 proficiency level or higher

Responsibilities:

• Be responsible for project management and technical leadership for data science and big data projects. Maintaining top-quality and client-focused deliverables to meet and exceed their expectations towards delivered solutions

• Manage and mentor a team of data scientists, ensuring they are engaged, motivated, productive, and are provided with regular feedback to support growth

• Act as a trusted advisor, proposing effective approaches and data science architectures tailored to client needs

• Building technical solutions that deliver measurable value

• Identify opportunities to expand service offerings and project potential with clients

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• 5+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems

• Strong programming skills in Python or Java/Scala: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Hands-on experience with Big Data technologies like Spark, Airflow, Iceberg, CI/CD, Kafka

• Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS)

Other Requirements:

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

• Fluent English (C1 level) is a must

Responsibilities:

• Design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Airflow, Iceberg

• Design and implement data management and data governance processes and best practices

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on data analysis and Machine Learning projects, including text/image analysis and predictive model building

Benefits:

• Comprehensive training on Veeam products and sales best practices.

• Ongoing support and mentorship from experienced sales professionals.

• Collaborative team culture with regular community meetings.

• Engaging events and initiatives to foster professional growth.

• Modern tools and resources to maximize your sales effectiveness.

Education Requirements:

• Bachelor’s degree or equivalent combination of education and experience.

Other Requirements:

• Proficiency in both German and English for clear communication.

• Strong organizational, multitasking, and prioritization abilities.

• Attention to detail in maintaining accurate records.

• Efficiency in MS Office automation tools to support daily tasks.

• Knowledge of virtualization industry and Salesforce is an advantage.

Responsibilities:

• Initiating telephone and email contact to identify new commercial opportunities in your assigned territory.

• Utilizing internal and third-party tools to generate leads and discover white space.

• Providing support to qualified prospects, including follow-up, product details, and quotations.

• Meeting monthly KPIs for commercial opportunities, tracked via Salesforce activity reports.

• Participating in call-out days, events, and customer meetings with sales colleagues.

Benefits:

• Flexible work schedule

• Remote work from any point of the world or office

• Corporate discount program

• Social package – medical & family care

• Foreign languages courses

Experience Requirements:

• Experience building and managing your own lead gen team (a plus)

Responsibilities:

• Bring creativity to outbound lead generation

• Build an intelligent, high-converting outreach system

• Drive outbound efforts, test hypotheses, shape messaging, and build outreach processes that generate new clients across target regions (US, EU, CIS)

• Collaborate with the Head of BizDev to refine Azati’s GTM strategy, ICP and USP

• Build and execute outbound outreach campaigns to generate leads

Benefits:

• Flexible work schedule

• Remote work from any point of the world or office

• Corporate discount program

• Social package – medical & family care

• Foreign languages courses

Experience Requirements:

• 2+ years of prior experience as Business Analyst in IT domain

• Experience in organizing business analysis at the outset of a project

• Presales and project management experience (a plus)

Other Requirements:

• Understanding of project lifecycle and Agile methodologies

• English: strong writing, listening and speaking skills - B2+

• Proactive standpoint, excellent communication skills and self-management skills

• Analytical mindset and attention to details

• Decision-making and problem-solving abilities

Benefits:

• Flexible work schedule

• Remote work from any point of the world or office

• Corporate discount program

• Social package – medical & family care

• Foreign languages courses

Experience Requirements:

• 2+ years of experience as a graphic designer, UI designer or similar role

• 1+ years of experience as an HTML/CSS specialist

• Experience creating a brand book and/or corporate guidelines (a plus)

• Experience in presentation design and promotional product development (a plus)

Other Requirements:

• Knowledge of HTML5, CSS3

• Understanding of and experience with various CMS systems

• Knowledge of and experience with various graphic editors

• Knowledge and practical application of UI principles, colorism, typography and composition

• Visual experience (а keen eye), attention to details and design thinking

Responsibilities:

• Work on internal company projects

Benefits:

• Flexible work schedule

• Remote work from any point of the world or office

• Corporate discount program

• Social package – medical & family care

• Foreign languages courses

Experience Requirements:

• 1+ years of experience in automation testing of web applications or mobile

• Knowledge of programming languages (preferred language Java)

• Knowledge of automation frameworks based on java (Selenium webdriver)

• Experience in writing automation frameworks from scratch (a plus)

• Expertise in performance testing, stress testing, load testing (e.g. JMeter, Gatling) (a plus)

Other Requirements:

• Analytical mindset

• Attention to detail

• Communication skills, both written and oral

• Adaptability and initiative. Willingness to work in a fast-paced environment

• Intermediate written and spoken English skills

Benefits:

• Flexible work schedule

• Remote work from any point of the world or office

• Corporate discount program

• Social package – medical & family care

• Foreign languages courses

Experience Requirements:

• Solid experience with Python, especially with FastAPI

• Hands-on experience with microservice architectures

• Experience with Celery (or similar task queues) and RabbitMQ

• Strong knowledge of PostgreSQL

Other Requirements:

• Know how to ship stuff without overcomplicating (a plus)

• Comfortable owning parts of the system (a plus)

• Can work with minimal process overhead (a plus)

• English B1 would be a nice plus (optional)

Benefits:

• Flexible work schedule

• Remote work from any point of the world or office

• Corporate discount program

• Social package – medical & family care

• Foreign languages courses

Experience Requirements:

• Experienced Python developer

• Experience with LLMs, RAG, creating APIs, backend services, and chatbots

Responsibilities:

• Build the backend for LLM-powered RAG systems and chatbots

• Involve API development, service integration, database management, and deployment on Azure

• Develop services using Python, FastAPI, LangChain, and LangGraph

• Manage asynchronous tasks with Celery and Redis

• Handle database management (MySQL) using SQLModel

Benefits:

• Flexible work schedule

• Remote work from any point of the world or office

• Corporate discount program

• Social package – medical & family care

• Foreign languages courses

Experience Requirements:

• Experience with any programming language (a plus)

• Experience in management self-hosted Gitlab (a plus)

• Experience in medium/large network management (a plus)

• Experience in configuration and support self-hosted VPN solutions (a plus)

Responsibilities:

• Responsible for ensuring that the Continuous Integration/Continuous Development/Continuous Testing and all testing environments are operating correctly

• Develop and support cloud/hybrid infrastructure

• Develop and support CI/CD processes and infrastructure

• Develop and support monitoring/logging solutions

• Manage containerized and virtual environments

Experience Requirements:

• Any experience level

Experience Requirements:

• 1+ years