Logic20/20 is seeking a Senior MLOps Engineer to support data science teams utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.
What youll do:
- 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
Qualifications :
- 10-15 years of experience as a machine learning (MLOps) data and/or software engineer using Python in a production environment
- Experience building deploying and optimizing machine learning models.
- Strong experience with Azure ML and Databricks/MLflow.
- Strong experience with Terraform and Kubernetes.
- Experience building and managing robust CI/CD pipelines for machine learning workflows including model training evaluation and deployment.
- 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.
- Experience with GitHub.
- Experience building data pipelines.
Preferred qualifications
- Experience developing and deploying image models.
- Masters degree/PhD in computer science or related field.
- Consulting experience.
Additional Information :
At Logic20/20 we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package with a target base salary range of $140454 - $158337 for this role. The final base salary offered is dependent on factors such as relevant experience skills qualifications and location. Eligible employees may also qualify for performance-based bonuses and other incentives.
All your information will be kept confidential according to EEO guidelines.
Learn more about life at Logic20/20!
Visit our Life at Logic page to explore our culture benefits and what makes Logic20/20 a great place to grow your career!
Core Values
At Logic20/20 we are guided by three core values: Drive toward Excellence Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employeesand they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at Opportunity Statement
We believe that people should be celebrated: for their talents ideas and skills but most of all for what makes them unique. We prohibit harassment and/or discrimination based on age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by federal state or local law.
To learn more about our DE&I initiatives please visit: Policy
During the recruitment and hiring process we gather process and store some of your personal data. We consider data privacy a priority. For further information please view our company privacy policy.
Remote Work :
Yes
Employment Type :
Full-time
Logic20/20 is seeking a Senior MLOps Engineer to support data science teams utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create producti...
Logic20/20 is seeking a Senior MLOps Engineer to support data science teams utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.
What youll do:
- 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
Qualifications :
- 10-15 years of experience as a machine learning (MLOps) data and/or software engineer using Python in a production environment
- Experience building deploying and optimizing machine learning models.
- Strong experience with Azure ML and Databricks/MLflow.
- Strong experience with Terraform and Kubernetes.
- Experience building and managing robust CI/CD pipelines for machine learning workflows including model training evaluation and deployment.
- 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.
- Experience with GitHub.
- Experience building data pipelines.
Preferred qualifications
- Experience developing and deploying image models.
- Masters degree/PhD in computer science or related field.
- Consulting experience.
Additional Information :
At Logic20/20 we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package with a target base salary range of $140454 - $158337 for this role. The final base salary offered is dependent on factors such as relevant experience skills qualifications and location. Eligible employees may also qualify for performance-based bonuses and other incentives.
All your information will be kept confidential according to EEO guidelines.
Learn more about life at Logic20/20!
Visit our Life at Logic page to explore our culture benefits and what makes Logic20/20 a great place to grow your career!
Core Values
At Logic20/20 we are guided by three core values: Drive toward Excellence Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employeesand they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at Opportunity Statement
We believe that people should be celebrated: for their talents ideas and skills but most of all for what makes them unique. We prohibit harassment and/or discrimination based on age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by federal state or local law.
To learn more about our DE&I initiatives please visit: Policy
During the recruitment and hiring process we gather process and store some of your personal data. We consider data privacy a priority. For further information please view our company privacy policy.
Remote Work :
Yes
Employment Type :
Full-time
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