Senior Software Engineer, Insights Reporting & AI

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We are seeking an experienced Sr. Software Engineer who is passionate about leveraging product insights to uncover trends through innovative analysis, advanced machine learning & artificial intelligence models, and optimized engineering processes. In this role you will partner across the business to build innovative and advanced tooling to empower partner teams with insights into the performance and behavior of their services, applications, and products to ultimately enhance customer experience.

Engineering Services designs, builds, and sustains technology that powers DE&E Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Assurance, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security.

Do you have a passion for observability and analytics and love working with software engineering teams? Then please continue reading!

Responsibilities

• Design, develop, and maintain production level models to monitor critical datasets and engineering services in streaming and batch; informing end user customer experience and insights into the health of our applications, products and offerings

• Build and experiment new model frameworks, machine learning approaches and artificial intelligence best practices from research through production rollout including continuous optimization and orchestration

• Create and deploy scalable API endpoints to provide predictive scores and explainability feedback to other applications, engineering processes and team

• Serve as a technical leader on the team, providing mentorship and technical best practices to more junior members.

• Understand engineering infrastructure and business processes that power critical systems, applications and streaming infrastructure

• Collaborate cross-functionally with various teams and verticals, to identify opportunities, business requirements and a path to technical implementation

• Discover opportunities for innovation and improvements across the entire engineering space

Basic Qualifications

• 5+ years of experience

• Python, Spark, or Pyspark is required

• High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow

• Applied experience of frameworks like PyTorch, Keras, Tensorflow, etc

• Experience operating in an SDLC environment and deploying production engineering models and code

• Exceptional interpersonal and written communication skills, able to concisely synthesize complex technical information

• Strong analytical and technical skills to troubleshoot issues, perform rapid iteration and quickly come-up with the possible solutions, effectively communicating these to technical and executive audiences across the organization

• Experience with Agile methodologies and using tools such as Jira to track and perform ceremonies

• Bachelors degree in computer science or relevant filed.

Preferred Qualifications

• Experience leading best practices and technical implementations at production scale for a software engineering team.

• Familiarity with data platforms and infrastructure such as MySQL, Datadog, Conviva

• Knowledge of API design and microservices architecture

• Experience in the streaming industry, knowledge of client and server side architecture is a plus

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