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TALENT | Jobs | Lead Developer – AI/ML | Delta Air Lines | BigDataKB.com | 08-02-22

Job Location: Bangalore/Bengaluru

As Lead Developer, within the Communications, AI, and Automation portfolio, you will work on initiatives across the entire business; initiatives range from our complex global operation to the digital customer experience. We’re looking for someone who is passionate about developing solutions for real-world, large-scale problems using Artificial Intelligence techniques including deep learning, machine learning, reinforcement learning, and CNNs. This area will combine AI and software engineering to bring initial prototypes to life within applications and achieve value for employees and customers.

Roles & Responsibilities

  • Grow Deltas use of AI within customer and employee facing experiences
    • Partner with cross functional business and technology teams to understand business landscape and drive AI opportunities.
    • Lead innovative ideation sessions to solve real-world problems
    • Provide technical thought-leadership and direction for AI solutions across a wide range of centralized and distributed environments across the Delta landscape.
    • Bridge gaps between POC trials and industrialized AI-fueled software
    • Partner with Architecture, Foundations, and Security teams to pave the way for Delta leverage industrialized design patterns
    • Help to define, design and capture data required for measurement of each solution
    • Collaborate frequently to share ideas and gain perspective. Communicates critical information in a clear and timely manner. Listens to others. Seeks clarification and confirms shared understanding when communicating.
  • Delivering with Quality and Speed
    • Collaborate with business and product owners, understanding the product and business domain to engineer solutions that create a competitive advantage
    • Work within a team of engineers and cross-divisionally to design and build Artificial Intelligence into technical solutions at scale
    • Contribute to the strategy around which frameworks and technologies are leveraged with each solution, and partner with the foundations teams to approve new design patterns
    • Look upstream and downstream to see around corners and anticipate future consequences for immediate technical choices
    • Document and communicate solutions with effective documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
    • Design, Develop, Monitor, and scale AI components, APIs, and loosely coupled applications and integrate these with highly available channels and systems
    • Incorporate security standards, test-driven development, and pipeline deployment automation to achieve robust reliability and scale
    • Mentor junior team-mates to define and implement detailed measurement data, error logging/tracking for all products within our domain
    • Be aggressive to resolve and prevent technical debt
    • Initiate and lead code reviews and continuous improvement efforts
    • Analysis and implementation of Performance/Stability/Reliability initiatives
    • Monitors metrics, problems, trends, and costs, in order to determine solutions, required process changes, etc. that will make the function more efficient
    • Plan, create, and execute automated test cases and load/performance testing
    • Operate with Agile and Cloud Target squads within two-week sprints
    • Own and support what you build
    • Production issue triage, management, and prevention with a focus on continuous improvement
    • Develop an AI first mindset and help democratize AI for Delta

Qualifications required

  • 6+ years of work experience in Software Engineering
  • 3+ years of work/educational experience in Artificial Intelligence/Machine Learning
  • Experience with Agile Software Development Lifecycles and DevOps/DevSecOps
  • Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark
  • Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.
  • Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch.
  • Experience with production-grade development, integration and support
  • Experience and familiarity presenting to technical and business audiences
  • Development experience on AWS, AWS Sagemaker required
  • Development experience on Azure, and/or Google Cloud is a plus

Apply Here

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