Enphase Energy | Hiring | AI/ML Scientist,Sr. Staff | Bangalore/Bengaluru | BigDataKB.com | 2022-09-28

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Job Location: Bangalore/Bengaluru

  • Hands on experience to work on time series modelling, time series prediction and forecast algorithms
  • Apply various conventional AI/ML algorithms such as ARIMA, SARIMA and deep ML based algorithms such as LSTM, RNN, Auto encoders
  • Apply state-of-the-art AI/ML algorithms such as Linear regression, Na ve Bayes, Decision Trees, Random Forest, SVM, PCA, PLS etc.
  • Apply probabilistic forecast on time series data
  • Work on problems related to predictive maintenance, asset health monitoring, Residual Useful Life (RUL) calculation etc.
  • Apply statistical signal processing techniques for data cleaning
  • Apply time series techniques like Fourier transform, Fast Fourier transforms, Wavelets to solve problems related to time series analysis
  • Analyze time series data using correlation analysis, partial correlation analysis, factor analysis, contribution plots
  • Estimate model orders, delays from the data, refine models based on performance metrics
  • Build pipeline of AI/ML using data pre-processing, feature engineering, modelling, post processing, result validation, model deployment
  • Ability to work on large scale time series data

Qualifications: Education, Competencies (Knowledge, Skills Behaviour) and Experience

  • Minimum Qualifications
  • PhD, M.E/ M. Tech, B Tech in Computer Science (preferred), Electrical Engineering, Mathematics, Statistics any other related discipline
  • PhD+5 years or Master+8 years, B.Tech. +12 years of solid experience in Industry or academia.
  • Experience in programming languages like R, Python, PySpark, MATLAB etc.
  • High quality organizational and leadership skills
  • Ability to study state of the art of research publications and patents
  • Outstanding communication (verbal, written) and presentation abilities
  • Positive team player attitude with conflict management and influencing skills.
  • Experience mentoring team members and/or leading teams
  • Preferred Qualifications
  • Exposure or knowledge in Renewable Tech companies
  • Hands-on experience in Big data tools like Apache Spark, Kafka, Pulsar, HDFS, Apache Airflow, Cassandra, MongoDB, Elasticsearch, time-series databases etc.
  • Exposure to machine vision and deep-ML architectures such as CNN, R-CNN, Fast CNN, Faster R-CNN, YOLO, Detectron etc.
  • Experience of publishing patents and publications

Apply Here

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