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Machine Learning Engineer | Talent500 | 5 - 8 Years | T638-1797

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 companys 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 WHAT ARE WE LOOKING FOR? / WHAT EXPERIENCE DO YOU NEED?
WHAT ELSE?
  • 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 Deltas 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 Deltas 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, implemented and 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.
  • 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, 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), with Python, Java, R, Scala, Spark and/or SAS.
  • Experience developing, testing and deploying APIs, building applications based on Microservices Architecture, with Spring Framework: Core, Integration, MVC and SpringBoot, with VersionOne, JIRA, GIT(gitlab, Bitbucket or other.), with automating application deployment, continuous delivery, and continuous integration (Jenkins, Ansible) and using Agile/Scrum methodologies.
  • 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).
  • Candidate must be solutions oriented using rigorous logic and methods to solve difficult problems with effective solutions, probing all sources for answers, 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 teamwork skills, problem solving skills and capability to understand and set direction for complex technology integration.
  • Understanding and focus on business outcomes.
  • 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.
Company
Talent500
Posted
10/04/2021
Location
Bangalore, KA, IN