As a key member of the Equinix’s Analytics and Data Science team you will be developing machine learning and artificial intelligence data products for various departments across Equinix.
You will be fully owning end to end design, development, implementation and maintenance of various Machine Learning solutions and data products that you build.
Job Profile Summary
Work with various team members of Analytics and Data Science team to design, develop and deploy various ML / AI solutions.
You will not only work on architecting and designing your projects but also influence the design of other projects as well.
You will also be concentrating on data discovery and researching new use cases that will bring value to the company. The role is hands on individual contributor role.
ML / AI : You will be fully owning the design, development of various machine learning usecases using machine learning techniques.
Exploration / Experimentation : We thrive on innovation. You will be working with cutting edge of tools and technologies in our Data / Machine Learning platform.
You will constantly be trying to find an optimized / better solution of solving the AI usecases. You will experiment with latest and brightest ideas and approaches.
Massive data : You will wrangle / examine, experiment with massive structured and unstructured data to solve machine learning problems to create value for Equinix.
Production deployment : You will be working closely with our data engineering team for integration and deployment of the machine learning solutions into production where your ideas will come to life.
Optimization : You will work on unique and different ideas to optimize a solution
Collaboration : Coordinate and work with cross functional teams, sometimes located at different geo locations.
CS fundamentals : You have earned at least a B.S. / MS / PhD in Computer Science / Statistics / Applied Math / Operational Research or related degree and you have a strong ethos of continuous learning.
Experience : You have 3+ years of professional software development experience with languages and systems such as Python and version control (GIT), with good analytical & debugging skills.
You have 1+ years in building machine learning solutions.
ML / AI : You have worked on python libraries like Scikit learn, Tensorflow, Keras, fast.ai in developing different ML / AI solutions.
Knowledge about solving problems using time series, classification etc. is an advantage. Experience in Finance and Anomaly Detection is preferred.
Languages & Tools : Experience in developing solutions in Python is a requirement. Experience in SQL is a must.
Environments : You have working knowledge of cloud environments like GCP (preferred), AWS or other cloud data platforms.
Proj ect management : You demonstrate excellent project and time management skills, exposure to scrum or other agile practices in JIRA.
Successful candidate will
Be a talent multiplier who gets the team around them to excel
Be persistent, creative and driven to get results relentlessly
Exhibit a strong backbone to challenge the status quo, when needed
Exhibit a high level of curiosity, keeping abreast of the latest trends & technologies
Show pride of ownership and strive for excellence in everything undertaken