Qualys | Hiring | Senior Machine Learning Operations (MLOps) Engineer | Pune | BigDataKB.com | 2022-09-29

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Job Location: Pune

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

We are seeking a talented Senior MLOps Engineer to help build next generation Security Analytics product from ground-up.
Working with a team of data scientist and engineers, you will be responsible for prototyping, designing, developing and supporting a highly scalable SaaS based Security Analytics product.
This is a great opportunity to be an integral part of a team building Qualys’ next generation Micro-Services based technology platform processing over a 100 million transactions and terabytes of data per day, leverage open-source technologies, and work on challenging and business-impacting projects.
Responsibilities:
Work as part of Data Science team to gather requirements for developing and deploying machine learning models.
Design and implement an automation of the model training/feedback loop process (continuous training)
Develop and implement solutions for continuous observability of ML models and their performance.
Establish a platform and modular approach to accelerating the deployment of ML models, including solutions for feature stores, parameter stores, and time series data.
Create, document, and maintain a processing pipeline deploying models using MLflow, Kubeflow, MLRun, W&B, Data Version Control (DVC), etc.
Collaborate with external SRE, Operations, product engineering, security, development, and business teams to provide ML model monitoring, analytics, and dashboard solutions.
Deploy application code and analytical models using CI/CD tools and techniques, and supports deployed data applications and analytical models.
Researching and implementing for code design, adoption of new technologies and skills. Qualifications:
Bachelors/Masters/Doctorate in Computer Science or equivalent
4 years of experience in designing, developing and delivering scalable MLOps pipelines.
3 years of experience in one of the ML OPs tools like MLFlow/Apache Airflow/Luigi/Argo/ML Flow/Kube Flow/Sage Maker.
Knowledge of SQL databases such as Oracle and NoSQL databases such as MongoDB, Cassandra, Redis.
Experience working with Columnar Databases and JSON/Parquet/ORC message formats.
Working knowledge of Apache Spark/PySpark.
Experience with ML libraries (scikit-learn, Keras/Tensorflow/PyTorch).Good to have:
Knowledge of cybersecurity products such as Endpoint Detection and Response (EDR), Vulnerability Management, Antivirus, Network Intrusion Detection Systems, etc.

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