Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Senior Machine Learning Scientist

Posted 2024-11-17

View full description

💎 Seniority level: Senior, 5+ years

🔍 Industry: Insurance and digital risk management

🏢 Company: Coalition, Inc.

🗣️ Languages: English

⏳ Experience: 5+ years

Requirements:
  • Ph.D. or MS degree in a quantitative or computational field.
  • 5+ years of full-time work experience in developing and deploying machine learning solutions in production.
  • Practical experience in supervised and unsupervised machine learning methods.
  • Expertise in statistical analysis methods, including regression analysis and forecasting.
  • Proficiency in SQL and programming in Python.
  • Ability to work in ambiguous problem spaces with minimal oversight.
  • Exceptional communication skills with both technical and non-technical audiences.
Responsibilities:
  • Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
  • Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation.
  • Survey and incorporate recent advances in AI/ML research into our core capabilities.
  • Communicate work effectively through collaborations and mentorship opportunities.
  • Contribute to and grow the culture of data excellence on the team.
Apply

Related Jobs

Apply
🔥 Senior Machine Learning Scientist (Mexico, UK or Poland)
Posted 2024-11-21

📍 Mexico, UK, Poland

🧭 Full-Time

🔍 Education Technology

  • Experience working with text data to build Deep Learning and ML models.
  • Strong understanding of the math and theory behind machine learning and deep learning.
  • Software engineering background with 3-5 years of experience (waived for PhD).
  • ML development skills including experiment tracking using tools like AWS SageMaker and PyTorch.
  • Understanding of Language Models including training and fine-tuning.
  • Master's degree or PhD in related fields with relevant industry experience.

  • Work with subject matter experts and product owners to determine key questions.
  • Curate, generate, and annotate data to create optimal datasets.
  • Answer questions from raw data using SQL queries and scripting.
  • Develop and tune Machine Learning models, optimizing datasets and parameters.
  • Utilize Language Models through prompt engineering and fine-tuning.
  • Stay current in the field by reading research papers and experimenting.
  • Optimize models for production and communicate insights to peers.

AWSPythonSoftware DevelopmentSQLFlaskGitJavascriptMachine LearningPyTorchJavaScriptReactCollaborationDocumentation

Posted 2024-11-21
Apply
Apply
🔥 Senior Machine Learning Scientist (Mexico, UK or Poland)
Posted 2024-11-21

📍 Mexico, UK, Poland

🧭 Full-Time

🔍 Education

  • Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised.
  • Strong understanding of the math and theory behind machine learning and deep learning.
  • Software engineering background with 3-5 years of experience (waived for a PhD).
  • Machine/Deep Learning development skills, including experiment tracking.
  • Understanding of Language Models and familiarity with standard LM families.
  • Master's degree or PhD in relevant fields with industry experience or notable achievements.
  • Excellent communication and teamwork skills.
  • Fluent in written and spoken English.

  • Work with subject matter experts and product owners to determine questions for analysis.
  • Curate, generate, and annotate data, creating optimal datasets while following best practices.
  • Transform raw data into trainable datasets using SQL queries and scripting.
  • Develop and fine-tune Machine Learning models using selected datasets and architectures.
  • Utilize and adapt Language Models through prompt engineering.
  • Stay current with industry trends and share findings.
  • Optimize models for production usage.
  • Communicate insights and model limitations effectively.
  • Write clean, efficient, modular code with automated tests.

AWSDockerPythonSoftware DevelopmentSQLFlaskGitMachine LearningPyTorchCollaborationDocumentation

Posted 2024-11-21
Apply
Apply
🔥 Senior Machine Learning Scientist (Mexico, UK or Poland)
Posted 2024-11-21

📍 Mexico, UK, Poland

🧭 Full-Time

🔍 Education technology

  • Experience working with text data to build Deep Learning and ML models.
  • Strong understanding of the math and theory behind machine learning.
  • 3-5 years of software engineering experience, or a PhD in a related field.
  • Development skills in Machine Learning including AWS SageMaker and PyTorch.
  • Familiarity with industry-standard Language Model families.
  • Master's or PhD in relevant fields with industry experience or outstanding achievements.

  • Work with subject matter experts and product owners to determine research questions.
  • Curate, generate, and annotate data, and create datasets.
  • Answer questions and create trainable datasets from raw data using SQL.
  • Develop and tune Machine Learning models following best practices.
  • Utilize and fine-tune Language Models and stay current with field research.
  • Optimize models for production use and communicate insights.

AWSDockerPythonSoftware DevelopmentSQLFlaskGitJavascriptMachine LearningPyTorchJavaScriptReactCollaborationDocumentation

Posted 2024-11-21
Apply
Apply
🔥 Senior Machine Learning Scientist
Posted 2024-11-16

🧭 Full-Time

💸 124800 - 188100 USD per year

🔍 Active Insurance and Digital Risk Management

  • Ph.D. or MS degree in a quantitative or computational field.
  • 5+ years of full-time experience developing and deploying machine learning and data-based solutions in production.
  • Practical experience in supervised and unsupervised machine learning methods.
  • Expertise in statistical analysis methods, including regression analysis and forecasting.
  • Proficiency in SQL and programming in Python.
  • Ability to effectively tackle ambiguous problems and drive projects independently.
  • Exceptional written and oral communication skills with both technical and non-technical audiences.

  • Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
  • Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation.
  • Survey and incorporate recent advances in AI/ML research into our core capabilities.
  • Communicate your work and experience in applied machine learning through collaborations and mentorship.
  • Contribute to the culture of data excellence by sharing best practices and processes.
Posted 2024-11-16
Apply
Apply
🔥 Senior Machine Learning Scientist
Posted 2024-11-16

🧭 Full-Time

🔍 Insurance and digital risk management

  • Ph.D. or MS degree in a quantitative or computational field.
  • 5+ years of full-time work experience leading the development and deployment of machine learning solutions.
  • Practical experience in supervised and unsupervised machine learning methods.
  • Expertise in statistical analysis methods, particularly regression analysis and forecasting.
  • Proficiency in SQL and programming in Python.
  • Ability to work in ambiguous problem spaces with minimal oversight.
  • Exceptional written and oral communication skills.

  • Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
  • Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation.
  • Survey and incorporate recent advances in AI/ML research into core capabilities.
  • Communicate work and experience in applied machine learning through collaborations and mentorship.
  • Enhance the culture of data excellence by promoting best practices and processes.
Posted 2024-11-16
Apply

Related Articles

Remote Job Certifications and Courses to Boost Your Career

August 22, 2024

Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?

How to Balance Work and Life While Working Remotely

August 19, 2024

Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.

Weekly Digest: Remote Jobs News and Trends (August 11 - August 18, 2024)

August 18, 2024

Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.

How to Onboard Remote Employees Successfully

August 16, 2024

Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.

Remote Work Statistics and Insights for 2024

August 13, 2024

The article explores the current statistics for remote work in 2024, covering the percentage of the global workforce working remotely, growth trends, popular industries and job roles, geographic distribution of remote workers, demographic trends, work models comparison, job satisfaction, and productivity insights.