Job Description

We are looking for an MLOps Engineer who can migrate and stabilize SparkML pipelines from ODL to GCP. Please refer below for more details

Responsibilities

Should have strong hands-on knowledge of Pandas, Numpy, Plotly, etc important fundamental libraries used for day-to-day ML work.
Should have worked on at least 2 real-time ML use cases and be familiar with end-to-end model-building steps and approaches. (min relevant exp 3+)
Should have worked with ML framework like scikit-learn, and one of TensorFlow or PyTorch. (min experience 3+)
Should have working experience on SparkML (min exp 2+)
Pipeline development using SparkML (min exp 1+)
Deep Learning specially NLP (min exp 2+). Projects done on intent identification will be added on.
Should be familiar with experiment tracking, Model Registry (MLFlow), and Feature Store (Feast) concepts (min experience 1+)
Familiar with Google Cloud Platform
Understanding of Kubernetes, container platform, Docker would be an add-on

Skills and Qualifications

Proficiency with Pandas, Numpy, Plotly, etc.
Proficiency with SparkML
Proficiency with experiment tracking like MLFlow
Proficiency with container technologies like Docker and Kubernetes

About Pixeldust Technologies

Pixeldust - where ideas come to life. Started as a bootstrapped product development consultancy by some crazy misfits in 2019, Pixeldust has come a long way within a short span of a few years. It began with a vision to combine the best of design, technology, and innovation to solve complex business challenges in the digital domain. With over 100 turnkey solutions delivered in over 3 years, in diverse industries ranging from FMCG, Fintech, Pharma, Entertainment, Edtech, Real Estate, Social Sector, and more, Pixeldust has proved to be a force to reckon with.