Full-Time Senior Machine Learning Engineer
Logic20/20 Inc. is hiring a remote Full-Time Senior Machine Learning Engineer. The career level for this job opening is Senior Manager and is accepting Seattle, WA based applicants remotely. Read complete job description before applying.
Logic20/20 Inc.
Job Title
Posted
Career Level
Career Level
Locations Accepted
Salary
Share
Job Details
Logic20/20 is seeking a Machine Learning Engineer to support data science teams leveraging AI and machine learning for computer vision or customer intent modeling.
This exciting opportunity allows you to create production-level systems using AI/ML techniques.
- Create frameworks to predict various outcomes in diverse scenarios.
- Develop models for customer satisfaction, providing deep insights into customer actions.
- Collaborate with data scientists and stakeholders.
- Research and design statistical models for target questions, process optimization, and informed decision-making.
- Develop solutions in R or Python.
- Create production-grade solutions.
- Work with Hadoop, Redshift, and Spark.
- Translate business/product questions into analytics projects.
- Communicate effectively (written & oral) and translate complex methodologies into high-level insights.
Requirements:
- 4+ years of experience in data science or machine learning (MLOps).
- 4+ years of Python experience in a production environment.
- 3+ years of building statistical models/evaluating/feature selection.
- Strong AWS, AWS Glue, SageMaker experience.
- Terraform knowledge.
- Proficient in enterprise software development practices (software lifecycle, best coding practices, version control, architecture, testing, deployment).
- Familiarity with popular machine learning libraries (TensorFlow, Keras, etc.).
- Knowledge of statistics and machine learning techniques.
- GitHub experience.
- Experience building data pipelines.
Preferred:
- Master's/PhD in Computer Science.
- Ability to build enterprise templates.
- Dashboards creation skills.
- Model monitoring in production experience.
- Azure DevOps proficiency.
- Implementation of best practices.
Compensation: Target base salary range: $130,000 - $150,000. Final salary depends on experience.
Equal Opportunity Employer: We value diversity, promote inclusivity, and prohibit discrimination.