Data Science UA

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe

About the client:
Our client is the go-to enterprise decision intelligence platform to drive better, faster decision-making across your organization, turning decision-making into a competitive advantage.

The company's platform helps teams scale great decisions by streamlining decision processes, automating recommendations with AI, and improving collaboration. The company is the only system of record to track, learn from and improve on your most critical commercial decisions.

About the role:
We are seeking an experienced and innovative Data Scientist to join the team, with a primary focus on automating decision-making processes in a wide range of areas of business.

The candidate will be responsible for the development of backend modules for Decision Intelligence assistants and AI agenetic systems. You will use advanced analytics and machine learning techniques, predictive analytics and big data tools to develop and implement solutions for automated analysis of structured and unstructured data to generate natural language insights, recommendations and decision recommendations.

Requirements:
- 3+ years of relevant experience as a Data Scientist.
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong proficiency in Python and familiarity with data analysis and ML libraries (such as Pandas, NumPy, Scikit-learn, SciPy, Stats models, TensorFlow, PyTorch etc.).
- Familiarity with SQL and NoSQL databases, GitHub tools and A/B testing frameworks is a big plus.
- Good understanding of time series analysis and forecasting methods.
- Strong problem-solving skills and a strategic mindset.
- Excellent communication skills, with the ability to explain complex concepts to diverse audiences.

Would be a plus:
- Experience using BI tools (Tableau, Power BI etc.) and Marketing mix modeling skills (especially in CPG).
- High energy, a passion for learning, and a genuine interest in revolutionizing enterprise decision-making through AI.

Responsibilities:
- Work with a team of AI experts, data scientists, engineering team, business analysts and market researchers to create solutions helping companies make strategic business decisions through providing insights and recommendations.
- Identify valuable data sources and automate ETL processes of structured and unstructured data.
- Analyze large and complex datasets from various sources to discover trends, patterns, anomalies and uncover actionable insights.
- Develop and deploy machine learning models and predictive algorithms for automated data analysis, generation of recommendations, and decisions.
- Design and implement systems for real-time decision-making in areas such as current state analysis, business recommendations, and process optimization.
- Continuously evaluate and fine-tune algorithms to improve accuracy, scalability, and performance.
- Collaborate with decision success, engineering, and product development teams.
- Present complex analytics and outcomes to non-technical stakeholders in a clear and actionable manner.

The company offers:
- Competitive salary and work equipment allowances.
- Flexible work schedule and paid personal time off.
- Collaborative team culture with cross-functional exposure to engineers, analysts, and business stakeholders.
- Opportunities for professional growth and learning.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
Our client is a leading innovator in artificial intelligence solutions, specializing in AI-driven chatbot technologies that revolutionize human-machine interactions.

About the role:
We are looking for a highly skilled and experienced MLOps Engineer to join the team. This role is ideal for someone with strong expertise in designing, deploying, and managing advanced ML systems with a focus on automation and reliability. 

Requirements:
- Minimum 5 years in an MLOps Engineer role or a similar position.
- Strong proficiency in Python and related ML libraries (PyTorch, Hugging face, Transformers).
- Extensive experience in implementing engineering best practices and a deep understanding of Machine Learning fundamentals.
- Hands-on experience with technologies like Apache Spark (Spark SQL, MLlib/Spark ML) or similar big data frameworks and proficiency in tools such as Hadoop, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, Apache Flink, etc.
- Experience with automated data pipeline and workflow tools, such as Airflow, Argo Workflows, Kubeflow, etc.
- Practical experience with major cloud providers, including AWS, GCP, or Azure.
- Proficiency in one or more MLOps platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex AI, Databricks, MLFlow, Kubeflow, or TensorFlow Extended (TFX).

Would be a plus:
- Experience with Large Language Models (LLMs) and computer vision applications, including image generation tools, Speech-to-Text (STT), Speech-to-Speech (STS), and Text-to-Speech (TTP).
- AWS, GCP, or Azure certifications are a strong advantage.
- Ability to quickly adapt to new technologies and environments, with a startup mindset for handling ambiguity and fast-paced change.

Responsibilities:
- Implement and Maintain CI/CD Pipelines.
- Set up and ensure smooth operation of continuous integration and continuous delivery for AI and machine learning projects.
- Establish reliable strategies for deploying AI models, with a focus on LLMs (Large Language Models) and Retrieval-Augmented Generation (RAG).
- Track deployed AI models' reliability, availability, and performance to ensure optimal operation.
- Work closely with AI teams to transition machine learning models and algorithms into production environments efficiently.
- Promote the use of version control, configuration management, and testing protocols for AI-driven solutions.
- Utilize MLOps Tools.
- Leverage frameworks such as Kubeflow, MLflow, or TensorFlow Extended (TFX) to manage the machine learning lifecycle, from experimentation to production.
- Set up monitoring systems for infrastructure metrics and AI model performance to enable early issue detection.
- Engage in on-call rotations using Site Reliability Engineering (SRE) principles to ensure uptime and meet service-level objectives (SLOs).

The company offers:
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
Our client is a leading innovator in artificial intelligence solutions, specializing in AI-driven chatbot technologies that revolutionize human-machine interactions.

About the role:
We are looking for a highly skilled and experienced MLOps Engineer to join the team. This role is ideal for someone with strong expertise in designing, deploying, and managing advanced ML systems with a focus on automation and reliability. 

Requirements:
- Minimum 5 years in an MLOps Engineer role or a similar position.
- Strong proficiency in Python and related ML libraries (PyTorch, Hugging face, Transformers).
- Extensive experience in implementing engineering best practices and a deep understanding of Machine Learning fundamentals.
- Hands-on experience with technologies like Apache Spark (Spark SQL, MLlib/Spark ML) or similar big data frameworks and proficiency in tools such as Hadoop, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, Apache Flink, etc.
- Experience with automated data pipeline and workflow tools, such as Airflow, Argo Workflows, Kubeflow, etc.
- Practical experience with major cloud providers, including AWS, GCP, or Azure.
- Proficiency in one or more MLOps platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex AI, Databricks, MLFlow, Kubeflow, or TensorFlow Extended (TFX).

Would be a plus:
- Experience with Large Language Models (LLMs) and computer vision applications, including image generation tools, Speech-to-Text (STT), Speech-to-Speech (STS), and Text-to-Speech (TTP).
- AWS, GCP, or Azure certifications are a strong advantage.
- Ability to quickly adapt to new technologies and environments, with a startup mindset for handling ambiguity and fast-paced change.

Responsibilities:
- Implement and Maintain CI/CD Pipelines.
- Set up and ensure smooth operation of continuous integration and continuous delivery for AI and machine learning projects.
- Establish reliable strategies for deploying AI models, with a focus on LLMs (Large Language Models) and Retrieval-Augmented Generation (RAG).
- Track deployed AI models' reliability, availability, and performance to ensure optimal operation.
- Work closely with AI teams to transition machine learning models and algorithms into production environments efficiently.
- Promote the use of version control, configuration management, and testing protocols for AI-driven solutions.
- Utilize MLOps Tools.
- Leverage frameworks such as Kubeflow, MLflow, or TensorFlow Extended (TFX) to manage the machine learning lifecycle, from experimentation to production.
- Set up monitoring systems for infrastructure metrics and AI model performance to enable early issue detection.
- Engage in on-call rotations using Site Reliability Engineering (SRE) principles to ensure uptime and meet service-level objectives (SLOs).

The company offers:
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe

About the client:
Our client is the go-to enterprise decision intelligence platform to drive better, faster decision-making across your organization, turning decision-making into a competitive advantage.

The company's platform helps teams scale great decisions by streamlining decision processes, automating recommendations with AI, and improving collaboration. The company is the only system of record to track, learn from and improve on your most critical commercial decisions.

About the role:
We are seeking an experienced and innovative Data Scientist to join the team, with a primary focus on automating decision-making processes in a wide range of areas of business.

The candidate will be responsible for the development of backend modules for Decision Intelligence assistants and AI agenetic systems. You will use advanced analytics and machine learning techniques, predictive analytics and big data tools to develop and implement solutions for automated analysis of structured and unstructured data to generate natural language insights, recommendations and decision recommendations.

Requirements:
- 3+ years of relevant experience as a Data Scientist.
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong proficiency in Python and familiarity with data analysis and ML libraries (such as Pandas, NumPy, Scikit-learn, SciPy, Stats models, TensorFlow, PyTorch etc.).
- Familiarity with SQL and NoSQL databases, GitHub tools and A/B testing frameworks is a big plus.
- Good understanding of time series analysis and forecasting methods.
- Strong problem-solving skills and a strategic mindset.
- Excellent communication skills, with the ability to explain complex concepts to diverse audiences.

Would be a plus:
- Experience using BI tools (Tableau, Power BI etc.) and Marketing mix modeling skills (especially in CPG).
- High energy, a passion for learning, and a genuine interest in revolutionizing enterprise decision-making through AI.

Responsibilities:
- Work with a team of AI experts, data scientists, engineering team, business analysts and market researchers to create solutions helping companies make strategic business decisions through providing insights and recommendations.
- Identify valuable data sources and automate ETL processes of structured and unstructured data.
- Analyze large and complex datasets from various sources to discover trends, patterns, anomalies and uncover actionable insights.
- Develop and deploy machine learning models and predictive algorithms for automated data analysis, generation of recommendations, and decisions.
- Design and implement systems for real-time decision-making in areas such as current state analysis, business recommendations, and process optimization.
- Continuously evaluate and fine-tune algorithms to improve accuracy, scalability, and performance.
- Collaborate with decision success, engineering, and product development teams.
- Present complex analytics and outcomes to non-technical stakeholders in a clear and actionable manner.

The company offers:
- Competitive salary and work equipment allowances.
- Flexible work schedule and paid personal time off.
- Collaborative team culture with cross-functional exposure to engineers, analysts, and business stakeholders.
- Opportunities for professional growth and learning.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
The company is the leader in cross-channel TV advertising. They bring best-in-class data, science, software and services to TV, streaming, and video games to deliver unparalleled simplicity, transparency and effectiveness. With TV platform, the company can reach audiences on both linear and connected TV at guaranteed scale without wasteful duplication. And with the platform, the company allows brands to extend their reach to connect with PC and console gamers.

About the role:
We are looking for an experienced and strategic Data Engineer, to join the Data Engineering team. In this role, you will lead the development and management of the data processing systems and services, supporting the advanced streaming advertising platform. You will be a hands-on leader, driving the adoption of new tools and paradigms and ensuring the availability and integrity of the data. This role requires a solid ability to coach and manage junior team members, fostering a culture of innovation and excellence.

Requirements:
- 5+ years of work experience as a data engineer, with a proven track record of strategic leadership in data architecture and services.
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
- Strong hands-on experience in Python, SQL, and REST API development.
- Experience with cloud services, preferably AWS, and containerized applications.
- Excellent leadership and team management skills, with the ability to coach and mentor junior team members.
- Strong understanding of data modeling, relational databases, and engineering best practices.
- Ability to communicate effectively with U.S-based teams and work 11 am - 8 pm EEST.

Would be a plus:
- Advanced certifications in data engineering or cloud services.
- Experience with big data technologies and data warehousing solutions.

Responsibilities:
Strategic Data Leadership:
- Develop and implement a strategic vision for the data architecture, considering new tools, technologies, and paradigms to enhance the data systems.
- Lead the design and development of data services and processing systems that support the platform's needs.
Team Management and Coaching:
- Coach and manage junior team members, providing guidance and mentorship to foster their professional growth.
- Promote a culture of innovation and continuous improvement within the team.
Collaboration and Optimization:
- Work closely with cross-functional teams, including engineers, data scientists, product managers, and designers, to ensure seamless integration and delivery of data solutions.
- Continuously optimize data systems and services for performance, scalability, and reliability.
Data Integrity and Accessibility:
- Ensure the availability and integrity of data throughout the company, making it easily accessible for various teams.
- Implement and maintain data governance and security practices to protect sensitive information.

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 7 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
Our client is a pioneering force in the healthcare industry, passionately driving innovations that shape the future of clinical trials and studies. By leveraging state-of-the-art technology, they aim to simplify and revolutionize the clinical research landscape.

About role:
We are looking for a talented full-time Junior Statistician. The ideal candidate will be a motivated self-starter with a strong math background.You will join the interesting project to implement your knowledge and skills in the best way.

Requirements:
- BA/BS or equivalent experience in mathematics, statistics, computer science or related fields.
- Strong knowledge of statistics & probability theory.
- Python programming skills.
- Intermediate+ English.
- Strong organizational skills.
- Strong attention to detail as well as good problem-solving, time management, and logic skills.
- Passion for research and self-improvement.
- Excellent verbal and written communication skills, with the ability to present data clearly and concisely to clinical teams and external stakeholders.

Responsibilities:
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Perform actuarial & machine learning research on big datasets
- Work with management and colleagues to prioritize needs.
- Locate and define new process improvement opportunities
- Reporting: writing automated scripts that provide for report generation

The company offers:
- Competitive salary and benefits.
- Opportunity to work on an innovative, AI-driven healthcare project.
- Flexible, remote working environment.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 7 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
Our client is a pioneering force in the healthcare industry, passionately driving innovations that shape the future of clinical trials and studies. By leveraging state-of-the-art technology, they aim to simplify and revolutionize the clinical research landscape.

About role:
We are looking for a talented full-time Junior Statistician. The ideal candidate will be a motivated self-starter with a strong math background.You will join the interesting project to implement your knowledge and skills in the best way.

Requirements:
- BA/BS or equivalent experience in mathematics, statistics, computer science or related fields.
- Strong knowledge of statistics & probability theory.
- Python programming skills.
- Intermediate+ English.
- Strong organizational skills.
- Strong attention to detail as well as good problem-solving, time management, and logic skills.
- Passion for research and self-improvement.
- Excellent verbal and written communication skills, with the ability to present data clearly and concisely to clinical teams and external stakeholders.

Responsibilities:
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Perform actuarial & machine learning research on big datasets
- Work with management and colleagues to prioritize needs.
- Locate and define new process improvement opportunities
- Reporting: writing automated scripts that provide for report generation

The company offers:
- Competitive salary and benefits.
- Opportunity to work on an innovative, AI-driven healthcare project.
- Flexible, remote working environment.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
Our client is a trailblazer in data-driven advertising, known for its innovative approach to optimizing ad placements and campaign effectiveness through advanced analytics and machine learning techniques. The company aims to revolutionize advertising by enabling brands to reach their audiences more effectively.

About the role:
We are looking for an experienced Senior Golang Engineer to join the team. In this role, you will develop and ensure the performance/reliability of backend systems and services, supporting the engagement & monetization platform for Free-To-Play (F2P) console & PC games, that lets game publishers & developers drive lifetime value and in-game spending through rewarded video.

Requirements:
- 5+ years of work experience as a backend engineer, with a proven track record of implementing complex backend architectures and services.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
- Experience designing and building scalable, high-performance backend systems, and solid understanding of microservice architecture.
- Strong understanding of backend development, relational databases, and engineering best-practices.
- Experience with Agile practices, including test-driven development, continuous integration/deployment and Scrum.
- Proficiency with relational databases and designing data models for backend applications (PostgreSQL, MySQL, etc.)
- Experience with cloud services, preferably AWS, and containerized applications (Docker).
- Strong proficiency and hands-on experience in Golang.

Would be a plus:
- Experience of working with Python, messaging systems (AWS SQS, RabbitMQ, etc.), asynchronous and multithreaded development.
- Knowledge of AWS CloudFormation or CDK.

Responsibilities:
- Design and build distributed services that are fault-tolerant, scalable, testable and maintainable.
- Collaborate with product managers, engineers, and technical leads to design and implement features and improvements throughout multiple areas of the platform.
- Optimize existing services and features for maximum speed and scalability.
- Maintain and develop continuous integration/continuous deployment (CI/CD) pipelines.
- Create and maintain technical documentation.

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
The company is the leader in cross-channel TV advertising. They bring best-in-class data, science, software and services to TV, streaming, and video games to deliver unparalleled simplicity, transparency and effectiveness. With TV platform, the company can reach audiences on both linear and connected TV at guaranteed scale without wasteful duplication. And with the platform, the company allows brands to extend their reach to connect with PC and console gamers.

About the role:
We are looking for an experienced and strategic Data Engineer, to join the Data Engineering team. In this role, you will lead the development and management of the data processing systems and services, supporting the advanced streaming advertising platform. You will be a hands-on leader, driving the adoption of new tools and paradigms and ensuring the availability and integrity of the data. This role requires a solid ability to coach and manage junior team members, fostering a culture of innovation and excellence.

Requirements:
- 5+ years of work experience as a data engineer, with a proven track record of strategic leadership in data architecture and services.
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
- Strong hands-on experience in Python, SQL, and REST API development.
- Experience with cloud services, preferably AWS, and containerized applications.
- Excellent leadership and team management skills, with the ability to coach and mentor junior team members.
- Strong understanding of data modeling, relational databases, and engineering best practices.
- Ability to communicate effectively with U.S-based teams and work 11 am - 8 pm EEST.

Would be a plus:
- Advanced certifications in data engineering or cloud services.
- Experience with big data technologies and data warehousing solutions.

Responsibilities:
Strategic Data Leadership:
- Develop and implement a strategic vision for the data architecture, considering new tools, technologies, and paradigms to enhance the data systems.
- Lead the design and development of data services and processing systems that support the platform's needs.
Team Management and Coaching:
- Coach and manage junior team members, providing guidance and mentorship to foster their professional growth.
- Promote a culture of innovation and continuous improvement within the team.
Collaboration and Optimization:
- Work closely with cross-functional teams, including engineers, data scientists, product managers, and designers, to ensure seamless integration and delivery of data solutions.
- Continuously optimize data systems and services for performance, scalability, and reliability.
Data Integrity and Accessibility:
- Ensure the availability and integrity of data throughout the company, making it easily accessible for various teams.
- Implement and maintain data governance and security practices to protect sensitive information.

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
Our client is a leading innovator in artificial intelligence solutions, specializing in AI-driven chatbot technologies that revolutionize human-machine interactions.

About the role:
We are looking for a Senior Golang Engineer to join the back-end engineering team. You will be responsible for designing, developing, and maintaining scalable and high-performance back-end services. Your work will directly contribute to improving the platform's architecture, ensuring high reliability and efficiency.

This role is ideal for professionals who enjoy solving complex scalability, reliability, and performance challenges while working in a highly collaborative environment.

Requirements:
- 5+ years of experience in designing, developing, and operating web applications using Golang.
- 5+ years of experience in managing and deploying applications on AWS or GCP.
- Production experience with relational databases (PostgreSQL) and NoSQL databases (Scylla DB).
- Strong adaptability to work with diverse technologies, with a willingness to learn tools like gRPC, Temporal.io, and Scylla DB.
- Advanced proficiency in English.
- Ability to relocate to Dubai.

Would be a plus:
- Experience with Docker and Kubernetes for containerization and orchestration.
- Experience with ML serving frameworks such as Ray, KServe, Triton, and vLLM.
- Familiarity with event-driven architectures such as Saga, Event Sourcing, and CQRS.
- Hands-on experience with Kafka, Pulsar, and AWS SQS.
- Experience implementing gRPC and REST APIs CI/CD experience with ArgoCD.
- Incident management experience, including root cause analysis and long-term solutions.

Responsibilities:
- Design, develop, and maintain high-performance backend systems using Golang.
- Ensure the scalability, reliability, and maintainability of our services.
- Identify and resolve performance bottlenecks in distributed systems.
- Work closely with cross-functional teams, including the Product team and QA team, to implement scalable solutions.

The company offers:
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

- This role requires relocation to Dubai after successfully completing the probation period. The client highly values on-site collaboration and expects team members to work from the company’s office to ensure alignment, productivity, and team synergy.

To support a smooth transition, the company provides full relocation assistance and offers a relocation bonus to help candidates comfortably settle in and adapt to the new environment.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.
About the client:
Our client is a leading innovator in artificial intelligence solutions, specializing in AI-driven chatbot technologies that revolutionize human-machine interactions.

About the role:
We are looking for a highly skilled and experienced MLOps Engineer to join the team. This role is ideal for someone with strong expertise in designing, deploying, and managing advanced ML systems with a focus on automation and reliability. 

Requirements:
- Minimum 5 years in an MLOps Engineer role or a similar position.
- Strong proficiency in Python and related ML libraries (PyTorch, Hugging face, Transformers).
- Extensive experience in implementing engineering best practices and a deep understanding of Machine Learning fundamentals.
- Hands-on experience with technologies like Apache Spark (Spark SQL, MLlib/Spark ML) or similar big data frameworks and proficiency in tools such as Hadoop, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, Apache Flink, etc.
- Experience with automated data pipeline and workflow tools, such as Airflow, Argo Workflows, Kubeflow, etc.
- Practical experience with major cloud providers, including AWS, GCP, or Azure.
- Proficiency in one or more MLOps platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex AI, Databricks, MLFlow, Kubeflow, or TensorFlow Extended (TFX).

Would be a plus:
- Experience with Large Language Models (LLMs) and computer vision applications, including image generation tools, Speech-to-Text (STT), Speech-to-Speech (STS), and Text-to-Speech (TTP).
- AWS, GCP, or Azure certifications are a strong advantage.
- Ability to quickly adapt to new technologies and environments, with a startup mindset for handling ambiguity and fast-paced change.

Responsibilities:
- Implement and Maintain CI/CD Pipelines.
- Set up and ensure smooth operation of continuous integration and continuous delivery for AI and machine learning projects.
- Establish reliable strategies for deploying AI models, with a focus on LLMs (Large Language Models) and Retrieval-Augmented Generation (RAG).
- Track deployed AI models' reliability, availability, and performance to ensure optimal operation.
- Work closely with AI teams to transition machine learning models and algorithms into production environments efficiently.
- Promote the use of version control, configuration management, and testing protocols for AI-driven solutions.
- Utilize MLOps Tools.
- Leverage frameworks such as Kubeflow, MLflow, or TensorFlow Extended (TFX) to manage the machine learning lifecycle, from experimentation to production.
- Set up monitoring systems for infrastructure metrics and AI model performance to enable early issue detection.
- Engage in on-call rotations using Site Reliability Engineering (SRE) principles to ensure uptime and meet service-level objectives (SLOs).

The company offers:
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

- This role requires relocation to Dubai after successfully completing the probation period. The client highly values on-site collaboration and expects team members to work from the company’s office to ensure alignment, productivity, and team synergy.

To support a smooth transition, the company provides full relocation assistance and offers a relocation bonus to help candidates comfortably settle in and adapt to the new environment.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the client:
The company is the leader in cross-channel TV advertising. They bring best-in-class data, science, software and services to TV, streaming, and video games to deliver unparalleled simplicity, transparency and effectiveness. With TV platform, the company can reach audiences on both linear and connected TV at guaranteed scale without wasteful duplication. And with the platform, the company allows brands to extend their reach to connect with PC and console gamers.

About the role:
We are looking for an experienced and strategic Data Engineer, to join the Data Engineering team. In this role, you will lead the development and management of the data processing systems and services, supporting the advanced streaming advertising platform. You will be a hands-on leader, driving the adoption of new tools and paradigms and ensuring the availability and integrity of the data. This role requires a solid ability to coach and manage junior team members, fostering a culture of innovation and excellence.

Requirements:
- 5+ years of work experience as a data engineer, with a proven track record of strategic leadership in data architecture and services.
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
- Strong hands-on experience in Python, SQL, and REST API development.
- Experience with cloud services, preferably AWS, and containerized applications.
- Excellent leadership and team management skills, with the ability to coach and mentor junior team members.
- Strong understanding of data modeling, relational databases, and engineering best practices.
- Ability to communicate effectively with U.S-based teams and work 11 am - 8 pm EEST.

Would be a plus:
- Advanced certifications in data engineering or cloud services.
- Experience with big data technologies and data warehousing solutions.

Responsibilities:
Strategic Data Leadership:
- Develop and implement a strategic vision for the data architecture, considering new tools, technologies, and paradigms to enhance the data systems.
- Lead the design and development of data services and processing systems that support the platform's needs.
Team Management and Coaching:
- Coach and manage junior team members, providing guidance and mentorship to foster their professional growth.
- Promote a culture of innovation and continuous improvement within the team.
Collaboration and Optimization:
- Work closely with cross-functional teams, including engineers, data scientists, product managers, and designers, to ensure seamless integration and delivery of data solutions.
- Continuously optimize data systems and services for performance, scalability, and reliability.
Data Integrity and Accessibility:
- Ensure the availability and integrity of data throughout the company, making it easily accessible for various teams.
- Implement and maintain data governance and security practices to protect sensitive information.

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
Our client is a trailblazer in data-driven advertising, known for its innovative approach to optimizing ad placements and campaign effectiveness through advanced analytics and machine learning techniques. The company aims to revolutionize advertising by enabling brands to reach their audiences more effectively.

About the role:
We are looking for an experienced Senior Golang Engineer to join the team. In this role, you will develop and ensure the performance/reliability of backend systems and services, supporting the engagement & monetization platform for Free-To-Play (F2P) console & PC games, that lets game publishers & developers drive lifetime value and in-game spending through rewarded video.

Requirements:
- 5+ years of work experience as a backend engineer, with a proven track record of implementing complex backend architectures and services.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
- Experience designing and building scalable, high-performance backend systems, and solid understanding of microservice architecture.
- Strong understanding of backend development, relational databases, and engineering best-practices.
- Experience with Agile practices, including test-driven development, continuous integration/deployment and Scrum.
- Proficiency with relational databases and designing data models for backend applications (PostgreSQL, MySQL, etc.)
- Experience with cloud services, preferably AWS, and containerized applications (Docker).
- Strong proficiency and hands-on experience in Golang.

Would be a plus:
- Experience of working with Python, messaging systems (AWS SQS, RabbitMQ, etc.), asynchronous and multithreaded development.
- Knowledge of AWS CloudFormation or CDK.

Responsibilities:
- Design and build distributed services that are fault-tolerant, scalable, testable and maintainable.
- Collaborate with product managers, engineers, and technical leads to design and implement features and improvements throughout multiple areas of the platform.
- Optimize existing services and features for maximum speed and scalability.
- Maintain and develop continuous integration/continuous deployment (CI/CD) pipelines.
- Create and maintain technical documentation.

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.