IBM | Hiring | AI Architect | Bangalore/Bengaluru | BigDataKB.com | 2022-09-28

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Job Location: Bangalore/Bengaluru


Your Role and Responsibilities

  • As an AI Architect at IBM, you will help transform our clients data into tangible business value by analysing information, communicating outcomes and collaborating on product development. Work with Best-in-Class open source and visual tools, along with the most flexible and scalable deployment options. You will work to solve real world problems for the industries transforming how we live.
  • You are responsible for designing algorithms and implementation including loading from disparate data sets, pre-processing using data science tools
  • Scope and deliver solutions with the ability to design solutions independently based on high-level architecture.
  • Gathering requirements, extracting right data, pre-processing, labelling and ML model creation for massive real-world dataset
  • Working knowledge in one NoSQL database like Cassandra
  • Proven ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers
  • Extract data from multiple varied sources and integrate it for analytics and application development
  • Data expertise to manipulate and integrate big data and different data types such as Videos, Images, Documents (pdfs, xls, csv) and other structured data bases


Required Technical and Professional Expertise

  • Overall 10 years of Industry experience with minimum 5 years of experience in the data science, machine learning and deep learning.
  • Experience in working with time-series data analysis using ARIMA, LSTM, CNN based encoder-decoder networks etc models
  • Practical experience of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
  • Well versed with skills on predictive analytics, correlation analysis, anomaly detection etc.
  • Experience coding and debugging in one or more general purpose programming languages including: Python, Java
  • Experience with standard machine learning techniques and machine learning tools and frameworks including but not limited to: TensorFlow, PyTorch, scikit-learn
  • Expertise in Data Interpretation and Visualization skills
  • Solid understanding of feature extraction, feature selection techniques, correlations, test data preparation and defining the models
  • Experience analyzing large scale data from a variety of sources
  • Working knowledge of building machine learning and deep learning models
  • Experience in deploying machine learning pipelines
  • Practical experience in designing explainable AI applications
  • Proficient in cloud platforms such as IBM Cloud
  • Knowledge on storage systems telemetry data such as IBM Storages Flash, DS8K, Scale etc will be an added advantage


Preferred Technical and Professional Expertise

  • NONE

Apply Here

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