Axtria - Ingenious Insights
Location
Noida | India
Job description
Be an Individual Contributor in the Analytics Research and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies. Be a part of large delivery teams working on advanced projects when expert assistance is required. Help clients to translate the business use cases they are trying to crack into data science solutions. Provide genuine assistance to users by advising on how to leverage Dataiku DSS to implement data science projects, from design to production. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Gathering requirements from project teams covering areas such as capacity, users, data Data Source Configuration, Maintenance, Document and maintain work-instructions. Deep working knowledge of machine learning frameworks such as TensorFlow, Caffe, Keras, SparkML Expert knowledge in Statistical and Probabilistic methods such as SVM, Decision-Trees, Clustering. Expert knowledge of python data-science and math packages such as NumPy, Pandas, Sklearn Proficiency in object-oriented languages (Java and/or Kotlin), Python and common machine learning frameworks (TensorFlow, NLTK, Stanford NLP, Ling Pipe etc.) Good understanding of MLOPS framework including model operations, integrations, MLOPS L1/L2/L3 support and pipeline automations.
Must have Skills: Minimum of 4-6 years software development experience using object-oriented languages. Firm understanding of software development practices, automated testing, and code design/optimization 3+ years of experience with Dataiku DSS (Data Science Studio) development 3+ year of experience with programming languages such as PySpark and Python. Experience with cloud infrastructure including integrated DataIku + Jenkins + Sonar Cubes + CheckMarx CI/CD. 3+ Experience of working in MLOPS projects. Experience with Big Data analytics and development ยท Setup Dataiku DSS install DSS connect to databases user management permissions setup Maintenance of Dataiku DSS update backup migration of DSS instances Management of Dataiku workflows and access data sharing among flows projects Other tasks Hands-on experience with developing, architecting or running ML/deep learning workloads in the cloud Experience with predictive modelling, Data modelling, hypothesis testing, statistical, mathematical, predictive modelling, machine learning Using time series analysis techniques in R and/or Python Experience on Spark with Scala/Python/Java. Experience leading development teams implementing robust software applications using natural language processing, machine learning on unstructured data, and information retrieval Hands-on experience with AWS implementations with one or more Big Data platforms such as EMR, Databrick, Hortonworks, Cloudera Pharma knowledge will be a plusJob tags
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