Proven track record in the research, data science and engineering around building and shipping machine learning or statistical models that scale to high volumes of data (billions of data points)
Proficiency with Python and SQL
Experience using key ML libraries including scikit-learn, tensorflow , pytorch , sparkml
Experience with data fusion and data cleansing techniques for creating labelled data sets
Experience with developing synthetic data sets using generative and statistical modelling techniques
Understanding of classical ML and DNN modelling techniques for supervised and unsupervised learning and sequence modelling.
Understanding of 3 of either PGMs, RL, GNN, statistical modelling, or time series modelling
Understanding of ensembles and multi modal machine learning techniques to solve complex problems
Familiarity of large-scale distributed systems and related technologies such as Spark, Elasticsearch, Kubernetes, etc. is a plus
Familiarity with cloud platforms (we use AWS here) and automation technologies (e.g., Kubernetes, Jenkins, Chef, etc.) is a plus
Familiarity with the information / cyber security domain is a plus
Responsibilities :
Analyze and correlate complex data from multiple sources
Perform exploratory data analysis to gain deeper understanding of the data
Work with stakeholders, including domain experts and product, to understand use cases and domain-specific problems and identify opportunities for applying machine learning to drive outcomes
Develop tools and algorithms for generating synthetic data sets
Define KPIs to measure model performance
Develop and test statistical and machine learning models for efficacy and operational impact
Write production quality code and work with other software engineering teams to deploy models into production
Support deployed models as a subject matter expert
Be creative and engineer novel features and methods to push beyond our current capabilities
Security Requirements :
Conducts duties and responsibilities in accordance with AW s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity, and availability of AW business information assets.
Must pass a criminal background check and an employment verification as a condition of employment.
(ref : hirist.tech)
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Data Scientist • Vizag
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