Machine Learning Engineer-Atlanta, Georgia-Hybrid

Machine Learning Engineer-Atlanta, Georgia-Hybrid The Machine Learning Engineer position requires a BS/MS degree, preferably in a technical or scientific field 5+ years of experience in designing, developing, integrating and running business, big data and/or data science applications Knowledge of mining complex data (including structure and unstructured), identifying patterns, and feature engineering Experience with design patterns and implementation and deployment AI and/or data science products Experienced with deploying and managing infrastructures based on Docker, Kubernetes, or OpenStack, and Clouds such as OpenShift, Azure, AWS or Google Cloud Platform Proficiency with Python, Java, Scala, Spark Experience developing, testing and deploying APIs Experience building applications based on Microservices Architecture A solid understanding of large scale data processing platforms (Apache Spark, Apache Hadoop ) Knowledge of data engineering and experience with big data Linux and shell scripting expertise Proficiency with SQL and NoSQL databases Proficiency with scalable data extraction tools (e.g. Cassandra, MongoDB)- Experienced in using AI/Client platforms, technologies, techniques (e.g TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc)- Experience with automating application deployment, continuous delivery, and continuous integration (Jenkins, Ansible) Experience With VersionOne, JIRA, GIT(gitlab, Bitbucket Or Other.), Experience using Agile/Scrum methodologies Candidate must be solutions oriented using rigorous logic and methods to solve difficult problems with effective solutions, probing all sources for answers Candidate must also have excellent written and verbal skills with the ability to communicate effectively with all levels of employees and management Additionally, candidate must be a self-learner with the ability to pick up new technologies and provide tangible results Strong problem solving skills and capability to understand and set direction for complex technology integration Understanding and focus on business outcomes Strong teamwork skills Functional knowledge of the airline business or airline IT processes Responsibilities

The Client engineer will take models developed by the data scientists and integrate it in with the rest of the company's platform This could involve building an API around the model so that it can be served and consumed, and then being able to maintain the integrity and quality of this model so that it continues to serve really accurate predictions This position will partner with Data Scientists and Data Engineers to operationalize models and deliver insights to the business Take responsibility for ensuring that Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise Continuously integrate and ship code into Delta's on premise and cloud Production environments Transform data science protypes and applying appropriate Client algorithms and tools Train and retrain Client models Develop deep learning systems to various use cases based on the business needs Automate model training and testing and deployment via machine learning continuous delivery pipelines Build data APIs and data delivery services that support critical operational and analytical applications for Delta's internal business operations, customers and partners Ensure a good data flow between database and backend systems Design and implement metrics to verify model and algorithm effectiveness Optimizing solutions for performance and scalability Define KPIs and acceptance criteria for model performance in production Ensure that the Delta methodology, standards and procedures are adopted and implemented Ensure that the technical solutions meet the customers' business goals and that customer satisfaction with the project and conclusion is high Act as a Point of contact for technical issues, creating documentation, monitoring service levels Coordinate activities with internal/external technology owners/service providers Consult within project team and other Delta teams, with outside vendors or consultants to ensure project or product integrity Mentor other Senior Developers on the team Qualifications

The Machine Learning Engineer position requires a BS/MS degree, preferably in a technical or scientific field 5+ years of experience in designing, developing, integrating and running business, big data and/or data science applications Knowledge of mining complex data (including structure and unstructured), identifying patterns, and feature engineering Experience with design patterns and implementation and deployment AI and/or data science products Experienced with deploying and managing infrastructures based on Docker, Kubernetes, or OpenStack, and Clouds such as OpenShift, Azure, AWS or Google Cloud Platform Proficiency with Python, Java, Scala, Spark Experience developing, testing and deploying APIs Experience building applications based on Microservices Architecture A solid understanding of large scale data processing platforms (Apache Spark, Apache Hadoop ) Knowledge of data engineering and experience with big data Linux and shell scripting expertise Proficiency with SQL and NoSQL databases Proficiency with scalable data extraction tools (e.g. Cassandra, MongoDB)- Experienced in using AI/Client platforms, technologies, techniques (e.g TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc)- Experience with automating application deployment, continuous delivery, and continuous integration (Jenkins, Ansible) Experience With VersionOne, JIRA, GIT(gitlab, Bitbucket Or Other.), Experience using Agile/Scrum methodologies Candidate must be solutions oriented using rigorous logic and methods to solve difficult problems with effective solutions, probing all sources for answers Candidate must also have excellent written and verbal skills with the ability to communicate effectively with all levels of employees and management Additionally, candidate must be a self-learner with the ability to pick up new technologies and provide tangible results Strong problem solving skills and capability to understand and set direction for complex technology integration Understanding and focus on business outcomes Strong teamwork skills Functional knowledge of the airline business or airline IT processes An eye for detail Responsibilities

The Client engineer will take models developed by the data scientists and integrate it in with the rest of the company's platform This could involve building an API around the model so that it can be served and consumed, and then being able to maintain the integrity and quality of this model so that it continues to serve really accurate predictions This position will partner with Data Scientists and Data Engineers to operationalize models and deliver insights to the business Take responsibility for ensuring that Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise Continuously integrate and ship code into Delta's on premise and cloud Production environments Transform data science protypes and applying appropriate Client algorithms and tools Train and retrain Client models Develop deep learning systems to various use cases based on the business needs Automate model training and testing and deployment via machine learning continuous delivery pipelines Build data APIs and data delivery services that support critical operational and analytical applications for Delta's internal business operations, customers and partners Ensure a good data flow between database and backend systems Design and implement metrics to verify model and algorithm effectiveness Optimizing solutions for performance and scalability Define KPIs and acceptance criteria for model performance in production Ensure that the Delta methodology, standards and procedures are adopted and implemented Ensure that the technical solutions meet the customers' business goals and that customer satisfaction with the project and conclusion is high Act as a Point of contact for technical issues, creating documentation, monitoring service levels Coordinate activities with internal/external technology owners/service providers Consult within project team and other Delta teams, with outside vendors or consultants to ensure project or product integrity Mentor other Senior Developers on the team Machine learning engineer

Atlanta GA(Hybrid 2 to 3 times onsite in a week ...

Long term (1 year)

JD

We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts. The Client engineer will take models developed by the data scientists and integrate it in with the rest of the company's platform. This could involve building an API around the model so that it can be served and consumed, and then being able to maintain the integrity and quality of this model so that it continues to serve really accurate predictions. These roles may be located in Atlanta or Minneapolis .

Your Responsibilities In This Role

This position will partner with Data Scientists and Data Engineers to operationalize models and deliver insights to the business

Take responsibility for ensuring that Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise

Continuously integrate and ship code into Delta's on premise and cloud Production environments

Transform data science protypes and applying appropriate Client algorithms and tools

Train and retrain Client models

Develop deep learning systems to various use cases based on the business needs

Automate model training and testing and deployment via machine learning continuous delivery pipelines

Build data APIs and data delivery services that support critical operational and analytical applications for Delta's internal business operations, customers and partners

Ensure a good data flow between database and backend systems

Design and implement metrics to verify model and algorithm effectiveness.

Optimizing solutions for performance and scalability

Define KPIs and acceptance criteria for model performance in production

Ensure that the Delta methodology, standards and procedures are adopted and implemented

Ensure that the technical solutions meet the customers' business goals and that customer satisfaction with the project and conclusion is high.

Act as a Point of contact for technical issues, creating documentation, monitoring service levels.

Coordinate activities with internal/external technology owners/service providers.

Consult within project team and other Delta teams, with outside vendors or consultants to ensure project or product integrity

Mentor other Senior Developers on the team

WHAT ARE WE LOOKING FOR? / WHAT EXPERIENCE DO YOU NEED? • The Machine Learning Engineer position requires a BS/MS degree, preferably in a technical or scientific field • 5+ years of experience in designing, developing, integrating and running business, big data and/or data science applications • Knowledge of mining complex data (including structure and unstructured), identifying patterns, and feature engineering • Experience with design patterns and implementation and deployment AI and/or data science products. • Experienced with deploying and managing infrastructures based on Docker, Kubernetes, or OpenStack, and Clouds such as OpenShift, Azure, AWS or Google Cloud Platform • Proficiency with Python, Java, Scala, Spark • Experience developing, testing and deploying APIs • Experience building applications based on Microservices Architecture • A solid understanding of large scale data processing platforms (Apache Spark, Apache Hadoop ) • Knowledge of data engineering and experience with big data • Linux and shell scripting expertise • Proficiency with SQL and NoSQL databases

- Proficiency with scalable data extraction tools (e.g. Cassandra, MongoDB)-

- Experienced in using AI/Client platforms, technologies, techniques (e.g. TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc)- • Experience with automating application deployment, continuous delivery, and continuous integration (Jenkins, Ansible)

Experience With VersionOne, JIRA, GIT(gitlab, Bitbucket Or Other.), • Experience using Agile/Scrum methodologies • Candidate must be solutions oriented using rigorous logic and methods to solve difficult problems with effective solutions, probing all sources for answers. • Candidate must also have excellent written and verbal skills with the ability to communicate effectively with all levels of employees and management. • Additionally, candidate must be a self-learner with the ability to pick up new technologies and provide tangible results. • Strong problem solving skills and capability to understand and set direction for complex technology integration • Understanding and focus on business outcomes • Strong teamwork skills

Plus • Functional knowledge of the airline business or airline IT processes • An eye for detail

Ved prakash

US IT Recruiter

Email: ved@stellentit.com

Gtalk: ved@stellentit.com

Company information We are a US based recruiting company. Information Technology, Enterprise Software, Consulting, IT Services, Software Development, Cloud Computing, Cybersecurity, Computer Software, Computer Networking, Internet Services

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