TRAVTUS

Responsibility

• designing, implementing and maintaining Machine Learning Model Pipelines to solve business needs
• understand business needs, researching and brainstorming models and ensembles that will help solve the problem
• experimenting with different models and measuring performance and selecting solutions
  Show more +15
• design, implement and maintain Machine Learning Model Pipelines to solve business needs
• researching and sharing the latest developments in Natural Language Understanding, Natural Language Generation, and Graph Neural Networks
• experiment with different models and measure performance and select solutions
• working with software at all stages of the development lifecycle
• research and share the latest developments in Natural Language Understanding, Natural Language Generation, and Graph Neural Networks
• defining infrastructure requirements and architecture for Model Training and Inference
• define infrastructure requirements and architecture for Model Training and Inference
• reviewing the performance of production models, performing evaluation and tuning
• review performance of production models, performing evaluation and tuning
• owning the data pipeline required for building reliable data sources for model development
• own the data pipeline required for building reliable data sources for model development
• develop orchestration solutions for model pipelines
• work closely as a part of the software development team to ensure models are effectively leveraged in the product
• research and deploy data science best practices
• provide technical guidance, coaching, and mentorship to team members, promoting their professional growth

Requirements

• previous experience managing and leading a small team of data scientists
• phD-level academic background
• must be passionate and knowledgeable about NLP Technology and enjoy monitoring the latest developments and papers
  Show more +28
• will be passionate about NLP Technology and enjoy monitoring the latest developments and papers
• passionate and knowledgeable about NLP Technology and enjoy monitoring the latest developments and papers
• experience in developing machine learning models and taking them through to production
• be able to demonstrate direct experience in developing machine learning models and taking them through to production
• experience working with Sagemaker Pipelines
• engineering mindset with experience working on cloud platforms
• experience developing machine learning models and taking them into production
• have an engineering mindset to solve real problems
• experience working with AWS Sagemaker pipelines
• expertise in Natural Language Processing and Python programming
• have an engineering mindset and expertise to solve real problems
• have good Python development experience working with software at all stages of the development lifecycle
• have good Python Development experience working with software at all stages of the development lifecycle
• excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders
• experience working on conversational interfaces
• python development experience working with software at all stages of the development lifecycle
• have deep experience using AI platforms including Pytorch, Tensor flow & AWS Sagemaker
• have deep expertise using AI platforms including Pytorch, Tensor flow & AWS Sagemaker
• ideally, have a Masters-level academic background with a focus on language processing
• have direct experience working on conversational interfaces
• proven experience as a data scientist, with a track record of delivering machine learning-based applications commercially into production
• have a scientific / statistics academic background
• team management: 1 year
• python: 2 years
• NLP: 1 year
• python: 1 year
• NLP: 2 years
• have practical knowledge of the latest transformer language models such as Bert, Roberta, GPT2, etc, and NLP Open Source Libraries e.g. Hugging Face, AI2, OpenAI, Spacy, etc

Responsibility

• marketing Manager
• marketing Strategy Development: Collaborate with the global growth team to develop and execute a comprehensive marketing strategy that aligns with the company's objectives and target audience
• content Creation & Management: Lead the creation of impactful marketing content that positions our AI tools as industry-leading solutions. This includes blog posts, whitepapers, webinars, and other content formats
  Show more +1
• budget Management: Manage the marketing budget efficiently, allocating resources to initiatives that yield the highest ROI

Requirements

• proven experience in B2B marketing, particularly in tech startups
• deep understanding and hands-on execution of marketing concepts and strategies across various channels
• analytical mindset with the ability to interpret data and make data-driven decisions
  Show more +6
• exceptional communication, proofreading and presentation skills, with internal and external stakeholders
• ability to work independently and collaboratively in a fast-paced startup environment
• strong project management and organizational skills
• experience with marketing automation & CRM tools platforms, ideally Hubspot
• passion for technology
• B2B marketing: 2 years

Earnings for position marketing manager

Responsibility

• as an Email Developer, you will be responsible to increase email marketing success by coding, building, and testing email communications
• utilize HTML/CSS and email marketing best practices to create and code interactive experiences for email
• develop/modify email templates and existing campaigns
  Show more +9
• contribute to the continued modernization and evolution of the brand
• apply the best practices in email development, email compliance regulations, and accessibility
• set up, test, and launch complex email campaigns with dynamic content, and SMS messaging
• execute email campaigns with a heavy emphasis on customer segmentation, testing protocol, and technical execution
• perform QA
• ensure identical rendering across browsers, ESPs, and devices
• troubleshoot HTML, CSS, and other performance issues
• proactively work with teammates to improve processes and work methods for greater efficiency
• perform coding and database maintenance tasks as required

Requirements

• relevant email development work experience
• testing
• advanced knowledge and understanding of HTML/CSS
  Show more +6
• coding
• proficient in responsive email design and front-end development
• working knowledge of SQL and AMPscript is a huge plus
• knowledgeable of email compliance regulations
• familiarity with email marketing and marketing automation technology
• HTML5: 2 years

Responsibility

• understand business needs, researching and brainstorming models and ensembles that will help solve the problem
• design, implement and maintain Machine Learning Model Pipelines to solve business needs
• experiment with different models and measure performance and select solutions
  Show more +7
• research and share the latest developments in Natural Language Understanding, Natural Language Generation, and Graph Neural Networks
• define infrastructure requirements and architecture for Model Training and Inference
• review performance of production models, performing evaluation and tuning
• own the data pipeline required for building reliable data sources for model development
• develop orchestration solutions for model pipelines
• work closely as a part of the software development team to ensure models are effectively leveraged in the product
• research and deploy data science best practices

Requirements

• will be passionate about NLP Technology and enjoy monitoring the latest developments and papers
• experience working with Sagemaker Pipelines
• have an engineering mindset to solve real problems
  Show more +9
• have good Python Development experience working with software at all stages of the development lifecycle
• have deep experience using AI platforms including Pytorch, Tensor flow & AWS Sagemaker
• be able to demonstrate direct experience in developing machine learning models and taking them through to production
• have direct experience working on conversational interfaces
• have a scientific / statistics academic background
• python: 1 year
• NLP: 2 years
• AWS: 1 year
• have practical knowledge of the latest transformer language models such as Bert, Roberta, GPT2, etc, and NLP Open Source Libraries e.g. Hugging Face, AI2, OpenAI, Spacy, etc

Responsibility

• devOps Engineer
• manage and optimize AWS infrastructure to ensure high availability, security, and scalability
• design and develop reliable and scalable production core services that are used by millions of users
  Show more +9
• implement and maintain CI/CD pipelines to automate software deployments and updates
• troubleshoot and resolve infrastructure and application issues promptly
• collaborate closely with the engineering and data science teams to enhance the reliability and performance of our AI tools
• collaborate in the development and maintenance of ML Ops pipelines for model training, deployment, and monitoring
• implement best practices for version control, containerization, and orchestration
• monitor system performance, analyze metrics, and proactively identify areas for improvement
• ensure compliance with security standards and best practices
• document infrastructure and operational processes
• are you a passionate DevOps specialist, who wants to make a significant impact and contribute to the company's success? Want to work with a team operating at the very cutting edge of AI technology, and grow into ML Ops? If yes, then read on …

Requirements

• experience with ML Ops and ML Ops tools, such as MLflow, Kubeflow, or similar
• proven experience as a DevOps Engineer, ideally within a technology startup
• AWS certifications
  Show more +6
• strong Python scripting and automation skills
• familiarity with common DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform
• strong problem-solving skills and a proactive mindset
• excellent communication and teamwork abilities
• AWS: 2 years
• expert in setting up and working with AWS services , with an emphasis on best practice cloud security