Real job — pulled straight from Cognine’s careers page · Verified July 16, 2026 · No reposts.
Job description
Cognine is hiring a Machine Learning Engineer — a full-time role. Apply directly on Cognine's careers page below.
Machine Learning Engineer (AWS)
Department: Delivery
Experience: 5-10
- Create frameworks to predict a variety of outcomes in different scenarios
- Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions
- Collaborate with other data scientists and stakeholders on projects
- Develop solutions in Python
- Develop production-grade solutions
- Work in Hadoop, Redshift, and Spark
- Translate business and product questions into analytics projects
- Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights
- 5-10 years of experience in a data science or machine learning (MLOps) role
- 3+ years of experience with Python in a production environment
- 3+ years building statistical models/evaluating/feature selection in a high-impact role
- Strong experience with AWS, AWS Glue, and SageMaker
- Strong experience with Terraform
- Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing, and deployment
- Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc.
- Knowledge of statistics and Machine Learning techniques
- Experience with GitHub
- Experience building data pipelines
- Excellent verbal and written communication skills
- Master's degree/PhD in computer science or related field
- Ability to build enterprise templates
- Ability to model dashboards
- Ability to monitor models in production
- Azure DevOps
- Ability to implement best practices.
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Frequently asked questions
What skills are required for Machine Learning Engineer at Cognine?
The required skills for Machine Learning Engineer at Cognine include: Machine Learning, AWS, Python, TensorFlow, Keras, Hadoop, Spark, Terraform, Git, GitHub, MLOps, Computer Vision, Redshift, Azure DevOps.
What is the seniority level for Machine Learning Engineer at Cognine?
Machine Learning Engineer at Cognine is a Senior / Staff level position.
How do I apply for Machine Learning Engineer at Cognine?
You can view the full description and apply for Machine Learning Engineer at Cognine on EchoJobs: https://echojobs.io/job/cognine-machine-learning-engineer-aws-xujzh.