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Lead Engineer
2 months ago
About Inspire:
Inspire Brands is a multibrand restaurant company whose current portfolio includes nearly 32,000 Arbys, BaskinRobbins, Buffalo Wild Wings, Dunkin, Jimmy Johns, and SONIC DriveIn locations worldwide. The company was founded in 2018 and is headquartered in Atlanta, Georgia.
About Inspire Brands Hyderabad Support Center:
Inspire fosters a culture of innovation that encourages team members to take risks, test, and learn. We want to create an environment where ideas emerge and succeed at every level.
Inspire Brands is disrupting the restaurant industry through digital transformation across multiple brands. The companys technology hub, Inspire Brands Hyderabad Support Center, will lead technology innovation and product development for the organization and its portfolio of distinct brands (both current and future). The Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the companys rapid growth and influence how we reach the guest and, more importantly, how the guest wants to interface with us.
Inspires Hyderabad Support Center will also host an innovation lab and collaborate with startups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.
Why Inspire Brands:
Inspire and its six iconic, global brands are driven by passionate team members with a collaborative, innovative spirit and a desire to use technology to create memorable, flavorful experiences for our guests worldwide.
At Inspires Hyderabad Support Center, you'll get the opportunity to learn and grow with us. What makes Inspire different in the way we approach technology is that we are building the capability to be extensible and scalable across our brands.
Inspire fosters a culture of innovation that encourages team members to take risks, test, and learn. We want to create an environment where ideas emerge and succeed at every level, not just at the top.
A supportive, inclusive environment is very important to us. Just as each of our brands are authentic and unique, we also encourage our team members to do the same. We're a stronger company because of it.
Join a company where we elevate each other and the communities we serve.
KEY RESPONSIBILITIES:
- Take ownership of developing and deploying state-of-the-art solutions to ensure machine learning models placed into production are reliable and efficient, including for real-time and streaming applications
- Work independently and proactively to identify and solve problems related to machine learning solutions and output
- Increase portfolio of work by providing automation capabilities within machine learning workflows and sharing best practices with the machine learning team
- Collaborate with data scientists and data engineers to develop novel solutions to data and infrastructure problems
- Become subject matter expert for ensuring reproducibility of models by supporting versioning of data and code
REQUIRED KNOWLEDGE, SKILLS or ABILITIES
MINIMUM REQUIREMENT:
- Master's or Bachelor's degree in Computer Science, Information Systems, Machine Learning, Data Science, or a related field.
- Proficiency in programming languages such as Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in Pyspark, and exposure with Big Data Analytics ecosystem (e.g., Cloudera, Databricks etc)
- 6-8 years of industry experience with minimum of 2-3 years relevant experience working with production machine learning pipelines
PREFERRED:
- 3-4 years relevant experience working with production machine learning pipelines
- Master's degree in Computer Science, Machine Learning, Data Science, or a related field
- Cloud engineering experience preferably with Azure but not limited to cloud service like Data Factory, Databricks, Snowflake etc
SKILL REQUIREMENTS:
- Extensive professional experience with cloud platforms and tools for model deployment and maintenance (Ex: Azure, AWS, GCP or containerize deployment platforms like OpenShift, VMware PCF etc).
- Extensive professional experience with big data technologies (e.g., Hadoop, Spark) and distributed computing.
- Strong background with version control systems such as Git
- Strong background with containerization technology (ex: Docker, Kubernetes)
- Strong background working with relational database systems and SQL
