.dreaming big is in our dna.
it's who we are as a company.
it's our culture.
it's our heritage.
and more than ever, it's our future.
a future where we're always looking forward.
always serving up new ways to meet life's moments.
a future where we keep dreaming bigger.
we look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential.
the power we create together - when we combine your strengths with ours - is unstoppable.
are you ready to join a team that dreams as big as you do?Responsibilitiesdefine and lead long-term vision for ml productsexecutive presentations to senior leadershiplead meetings, sessions, and workshops with a solid technical foundationdevelop and implement software solutions that leverage workflow automationactively engage and participate in software architecture and designparticipate in code reviews and provide constructive feedback to peerswrite clean, efficient, and well-documented code that adheres to industry best practicesstay up to date with emerging technologies and industry trends to ensure our software solutions remain at the forefront of the industryhard skillsmachine learning systems designexpertise in machine learning end to end pipelinesstrong python coding skills (object oriented programming)strong problem-solving skills in new and legacy codesoftware design or architecture (design patterns, reliability, and scaling) of new and existing systemsfull software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experiencecommunication protocols for ml productsrest apispython web frameworks (django, flask, fastapi)streaming (kafka, rabbitmq, others)batch delivery and offline deliverycontainerization platforms (docker / kubernetes)expertise in infrastructure as code (terraform, ansible)ci/cd/ct (github actions, jenkins, ansible, circle ci, etc.
)observability and monitoring (for infrastructure, data, ml and kpis)expertise in git and branching strategiesmicrosoft azure cloud or any other cloud platform resources focused on ml solutionsexperience working in agile software developmentexpertise in machine learning modeling techniquesdatabricks ecosystem applied for ml productsexpertise in sql & nosql databasesdata science and data engineering foundationsflexible adoption of innovative technologies (genai, computer vision, llms, and others)big data technologies such as hadoop, spark, pig, hive, etc.big data infrastructure (data lakes, snowflake, databricks, blob storage, s3)ml libraries/frameworks such as tensorflow, keras, pytorch, etc