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 ML 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.
The ML engineer Bottom of Form
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 ML algorithms and tools
Train and retrain ML 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
Expert familiarity with of a variety of classic and modern machine learning techniques including deep learning, clustering, decision tree, classification, regression and neural networks
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
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)
Proficiency with Python, Java, R, Scala, Spark and / or SAS
Experience developing, testing and deploying APIs
Experience building applications based on Microservices Architecture
Experience with Spring Framework : Core, Integration, MVC and SpringBoot
A solid understanding of large scale data processing platforms (Apache Spark, Apache Hadoop)
Experienced in using AI / ML platforms, technologies, techniques (e.g. TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc)
Experience with VersionOne, JIRA, GIT(gitlab, Bitbucket or other.),
Experience with automating application deployment, continuous delivery, and continuous integration (Jenkins, Ansible)
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
Delta Air Lines develops both strategic and tactical plans that create a safety-conscious environment resulting in employee safety and well-being.