Logic20/20 is seeking a Senior MLOps Engineer to support data science teams that are 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 R or 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
About the team:
The Logic20/20 Advanced Analytics team combines data engineering data science and visual analytics to mitigate risk optimize operations and automate processes for the ultimate user experience. Our lean-in learning culture is focused on building expertise and delivering high-value solutions with real business impact across industries whether they are leveling up or blazing a trail.
We build an environment where we really operate as One Team building up each others careers and capabilities. Adam Cornille Senior Director Advanced Analytics
Qualifications :
- 5-10 years of experience in a data science or machine learning (MLOps) role using Python.
- Proficiency in ML Frameworks (TensorFlow or PyTorch).
- Experience with AWS Sagemaker (S3 Lambda Glue) and/or Snowflake and Palantir Foundry.
- Experience creating reproducible environments for data processing and model deployment using Docker and Kubernetes.
- Experience with Terraform.
- Proficiency with software engineering best practices: version control testing and CI/CD
automation (e.g. GitHub Jenkins). - Experience implementing model versioning deployment monitoring and observability
systems.
Preferred qualifications
- Experience with Remote Sensing data and geospatial technologies.
- Experience with deep learning at scale with geospatial remote sensing data.
- Ability to manage the end-to-end ML lifecycle across platforms (e.g. Palantir Foundry and AWS
SageMaker. - Masters degree/PhD in computer science or related field.
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 $144134 - $162067 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 that are 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...
Logic20/20 is seeking a Senior MLOps Engineer to support data science teams that are 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 R or 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
About the team:
The Logic20/20 Advanced Analytics team combines data engineering data science and visual analytics to mitigate risk optimize operations and automate processes for the ultimate user experience. Our lean-in learning culture is focused on building expertise and delivering high-value solutions with real business impact across industries whether they are leveling up or blazing a trail.
We build an environment where we really operate as One Team building up each others careers and capabilities. Adam Cornille Senior Director Advanced Analytics
Qualifications :
- 5-10 years of experience in a data science or machine learning (MLOps) role using Python.
- Proficiency in ML Frameworks (TensorFlow or PyTorch).
- Experience with AWS Sagemaker (S3 Lambda Glue) and/or Snowflake and Palantir Foundry.
- Experience creating reproducible environments for data processing and model deployment using Docker and Kubernetes.
- Experience with Terraform.
- Proficiency with software engineering best practices: version control testing and CI/CD
automation (e.g. GitHub Jenkins). - Experience implementing model versioning deployment monitoring and observability
systems.
Preferred qualifications
- Experience with Remote Sensing data and geospatial technologies.
- Experience with deep learning at scale with geospatial remote sensing data.
- Ability to manage the end-to-end ML lifecycle across platforms (e.g. Palantir Foundry and AWS
SageMaker. - Masters degree/PhD in computer science or related field.
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 $144134 - $162067 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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