Category: Machine Learning
Dear Candidate,
Before submitting your resume, please pay attention to the location – we will not be able to review your resume and provide feedback if you are not (in fact) located in the location of the vacancy.
Thanks for understanding
About the project – №1 Travel platform in the world!
We believe that we are better together, and at company we welcome you for who you are. Our workplace is for everyone, as is our people powered platform.
At company, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.
Our team is building out a next generation Machine Learning Platform for all data scientists and machine learning engineers across all of Project’s brands. Our mission is to empower data scientists to work independently and scale their productivity to enable broader and deeper utilization of machine learning techniques to help improve the business performance. Clients hosts over 400 million monthly active visitors and operates across multiple cloud environments. Our data is at the petabyte scale, requiring a scalable, efficient, and reliable machine learning platform to support it.
We are seeking a talented, experienced, Software Engineer to help develop and integrate machine learning models into backend systems and infrastructure. Candidates will create backend components, services, and APIs to support the deployment, scalability, and operation of models and solutions.
We leverage Kubernetes and a variety of open source software (e.g. Kubeflow, Seldon, Istio, Mlflow) to train and deploy over one hundred models serving a billion requests per day.
What you will do:
- Collaborate with data scientists and machine learning engineers to build backend systems and integrate models into them.
- Collaborate with cross functional teams of data scientists, frontend engineers, and product managers to deliver end-to-end solutions.
- Design, implement, and maintain backend services required for hosting, serving, or connecting to machine learning models or AI-powered applications.
- Design and implement APIs to facilitate communication between client systems and machine learning components, and to expose machine learning functionalities to other areas of the site.
- Ensure APIs are well-documented and provide a clear interface for interacting with components of the machine learning platform.
- Optimize backend infrastructure to handle varying machine learning workloads efficiently at scale.
- Develop and maintain CI/CD pipelines for automated testing, deployment, and monitoring of systems and infrastructure.
Who You Are:
- Computer Science degree or equivalent experience
- At least 5 years’ experience of commercial software development.
- Willingness and ability to take on new projects and technologies.
- Ability to break down complex problems into simple solutions.
- Strong analytical skills and desire to write clean, correct and efficient code.
- Sense of ownership, urgency and pride in your work.
- Familiarity with microservice architecture and principles
- Deep knowledge in Python, including best practices, design patterns, and usage of open source libraries.
- Experience building microservices with Java or Python
- Hands-on experience building RESTful APIs
- Strong understanding of database systems and proficiency in SQL
Nice to have:
- Exposure to machine learning platforms and practices
- Experience with Spring Boot or FastAPI
- Experience with cloud platforms (e.g. AWS, Azure, GCP)
- Experience with infrastructure as code tools like CDK or Terraform
- Experience with containerization technologies (e.g. Docker)
- Experience with container services like Kubernetes or ECS
- Experience with distributed computing such as Snowflake or Apache Spark
Why join us:
- Ability to work remotely from anywhere in the world
- Close cooperation with the development team and client
- Opportunity to influence product development
- Professional growth: the certification preparation course is free for our specialists. The company pays for two attempts to pass the exam, regardless of the exam result
- We cover English classes (with a native speaker)
- Boost professional brand: you can participate in local conferences as a listener or as a speaker
- Regular team buildings: have fun with teammates
- Gifts for significant life events (marriage, childbirth)
- Tech and non-tech Zazmic Communities: support and share experience with each other
Dear Candidate,
In an era of rapid technological advancement and the constant evolution of artificial intelligence, at Zazmiс, we believe in the importance of analyzing resumes not only through automated tools but also through interaction with a live recruiter. We value an individualized approach to each candidate and strive to make the hiring process more friendly and efficient.
Understanding the significance of your time and that of our colleagues, we offer you the opportunity to provide additional information that will help us better understand your profile and its alignment with the job description. Your initiative will assist us in making a more informed decision when considering your candidacy.
Please note that Zazmiс reserves the right not to respond to a candidate’s application if we conclude that the candidate does not meet our requirements for any reason. Please understand this as part of our commitment to an efficient and fair hiring process.
Thank you for your understanding and participation in our recruitment process.
Best regards,
The Zazmiс Team
Apply
Dear Candidate,
Before submitting your resume, please pay attention to the location – we will not be able to review your resume and provide feedback if you are not (in fact) located in the location of the vacancy.
Thanks for understanding
About the project – №1 Travel platform in the world!
About the Role
The Machine Learning Team is looking for an exceptional individual to lead a team working on designing and building next-generation AI systems to understand our travelers and products and improve customer experience. Our work will significantly improve our ability to offer travelers the broadest, most relevant travel products.
You will work on a team with other talented machine learning engineers focusing on content-related AI projects. Our initiatives aim to enhance user-generated content accessibility for travelers through AI Review Summaries, Collections, Auto-Tagging & Knowledge Graphs, topic classification, machine translation, and more. This foundational work improves travelers’ exploration of our content and plan their dream vacation! You’ll work with cutting-edge technologies including Natural Language Understanding, Large Language Models (LLMs), Knowledge Graphs, and GenAI.
Client is the web’s leading travel information site. At company, the Machine Learning Team creates systems that influence the travel decisions of millions of people per day. It applies cutting-edge machine learning techniques to a wide variety of areas, including recommenders, vision, information retrieval, and natural language processing. To ensure continued success, client promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!
What You Will Do:
- Collaborate with senior members of the team to design, implement, and deploy machine learning models and systems
- Participate in all stages of the machine learning development lifecycle, from data collection and preprocessing to model evaluation and deployment.
- Work closely with cross-functional teams to understand business requirements and translate them into machine learning solutions.
- Contribute to the improvement of existing machine learning pipelines and infrastructure.
- Stay up-to-date with the latest trends and technologies in machine learning and share knowledge with the team.
Who You Are:
- You are an experienced machine learning engineer with experience in developing and deploying machine learning models.
- You have a solid understanding of machine learning concepts and algorithms, with hands-on experience in at least one framework such as TensorFlow or PyTorch.
- You have strong problem-solving skills and attention to detail.
- You are eager to learn and grow in a collaborative team environment.
- You have good communication skills and can effectively communicate technical concepts to both technical and non-technical stakeholders
Requirements:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- 3+ years of experience in machine learning engineering or a related field.
- Proficiency in Python and experience with machine learning libraries such as PyTorch/TensorFlow/Jax, spaCy, NLTK, Hugging Face Transformers, etc.
- Familiarity with machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Knowledge of software development best practices, version control systems, and collaborative coding workflows, CI/CD, and automated testing.
- Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment.
Why join us:
- Ability to work remotely from anywhere in the world
- Close cooperation with the development team and client
- Opportunity to influence product development
- Professional growth: the certification preparation course is free for our specialists. The company pays for two attempts to pass the exam, regardless of the exam result
- We cover English classes (with a native speaker)
- Boost professional brand: you can participate in local conferences as a listener or as a speaker
- Regular team buildings: have fun with teammates
- Gifts for significant life events (marriage, childbirth)
- Tech and non-tech Zazmic Communities: support and share experience with each other
Dear Candidate,
In an era of rapid technological advancement and the constant evolution of artificial intelligence, at Zazmiс, we believe in the importance of analyzing resumes not only through automated tools but also through interaction with a live recruiter. We value an individualized approach to each candidate and strive to make the hiring process more friendly and efficient.
Understanding the significance of your time and that of our colleagues, we offer you the opportunity to provide additional information that will help us better understand your profile and its alignment with the job description. Your initiative will assist us in making a more informed decision when considering your candidacy.
Please note that Zazmiс reserves the right not to respond to a candidate’s application if we conclude that the candidate does not meet our requirements for any reason. Please understand this as part of our commitment to an efficient and fair hiring process.
Thank you for your understanding and participation in our recruitment process.
Best regards,
The Zazmiс Team
Apply
Dear Candidate,
Before submitting your resume, please pay attention to the location – we will not be able to review your resume and provide feedback if you are not (in fact) located in the location of the vacancy.
Thanks for understanding
About the project – №1 Travel platform in the world!
We believe that we are better together, and at company we welcome you for who you are. Our workplace is for everyone, as is our people powered platform.
At company, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.
Our team is building out a next generation Machine Learning Platform for all data scientists and machine learning engineers across all of Project’s brands. Our mission is to empower data scientists to work independently and scale their productivity to enable broader and deeper utilization of machine learning techniques to help improve the business performance. Clients hosts over 400 million monthly active visitors and operates across multiple cloud environments. Our data is at the petabyte scale, requiring a scalable, efficient, and reliable machine learning platform to support it.
We are seeking a talented, experienced, Software Engineer to help develop and integrate machine learning models into backend systems and infrastructure. Candidates will create backend components, services, and APIs to support the deployment, scalability, and operation of models and solutions.
We leverage Kubernetes and a variety of open source software (e.g. Kubeflow, Seldon, Istio, Mlflow) to train and deploy over one hundred models serving a billion requests per day.
What you will do:
- Collaborate with data scientists and machine learning engineers to build backend systems and integrate models into them.
- Collaborate with cross functional teams of data scientists, frontend engineers, and product managers to deliver end-to-end solutions.
- Design, implement, and maintain backend services required for hosting, serving, or connecting to machine learning models or AI-powered applications.
- Design and implement APIs to facilitate communication between client systems and machine learning components, and to expose machine learning functionalities to other areas of the site.
- Ensure APIs are well-documented and provide a clear interface for interacting with components of the machine learning platform.
- Optimize backend infrastructure to handle varying machine learning workloads efficiently at scale.
- Develop and maintain CI/CD pipelines for automated testing, deployment, and monitoring of systems and infrastructure.
Who You Are:
- Computer Science degree or equivalent experience
- At least 5 years’ experience of commercial software development.
- Willingness and ability to take on new projects and technologies.
- Ability to break down complex problems into simple solutions.
- Strong analytical skills and desire to write clean, correct and efficient code.
- Sense of ownership, urgency and pride in your work.
- Familiarity with microservice architecture and principles
- Experience building microservices with Java or Python
- Hands-on experience building RESTful APIs
- Strong understanding of database systems and proficiency in SQL
Nice to have:
- Exposure to machine learning platforms and practices
- Experience with Spring Boot or FastAPI
- Experience with cloud platforms (e.g. AWS, Azure, GCP)
- Experience with infrastructure as code tools like CDK or Terraform
- Experience with containerization technologies (e.g. Docker)
- Experience with container services like Kubernetes or ECS
- Experience with distributed computing such as Snowflake or Apache Spark
Why join us:
- Ability to work remotely from anywhere in the world
- Close cooperation with the development team and client
- Opportunity to influence product development
- Professional growth: the certification preparation course is free for our specialists. The company pays for two attempts to pass the exam, regardless of the exam result
- We cover English classes (with a native speaker)
- Boost professional brand: you can participate in local conferences as a listener or as a speaker
- Regular team buildings: have fun with teammates
- Gifts for significant life events (marriage, childbirth)
- Tech and non-tech Zazmic Communities: support and share experience with each other
Dear Candidate,
In an era of rapid technological advancement and the constant evolution of artificial intelligence, at Zazmiс, we believe in the importance of analyzing resumes not only through automated tools but also through interaction with a live recruiter. We value an individualized approach to each candidate and strive to make the hiring process more friendly and efficient.
Understanding the significance of your time and that of our colleagues, we offer you the opportunity to provide additional information that will help us better understand your profile and its alignment with the job description. Your initiative will assist us in making a more informed decision when considering your candidacy.
Please note that Zazmiс reserves the right not to respond to a candidate’s application if we conclude that the candidate does not meet our requirements for any reason. Please understand this as part of our commitment to an efficient and fair hiring process.
Thank you for your understanding and participation in our recruitment process.
Best regards,
The Zazmiс Team
