Machine Learning Engineer

3 weeks ago


Bengaluru, Karnataka, India Kloud9 Full time

Job Title: Machine Learning Engineer - Data Science Innovator

At Kloud9, we are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in data science and machine learning, with experience in deploying models to production.

Key Responsibilities:

  • Studying, transforming, and converting data science prototypes
  • Deploying models to production
  • Training and retraining models as needed
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores
  • Verifying data quality and ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Requirements:

  • 6+ years of IT experience in which at least 3+ years of relevant experience primarily in converting data science prototypes and deploying models to production
  • Proficiency with Python and machine learning libraries such as pandas, xgboost
  • Strong working experience with pyspark
  • Experience with Machine Learning life cycle and training/retraining
  • Strong expertise in using kubeflow/airflow and docker containerization
  • Knowledge of Big Data frameworks like Hadoop, Spark, etc
  • Experience in working with ML frameworks like TensorFlow, Keras, OpenCV
  • Strong written and verbal communications
  • Excellent interpersonal and collaboration skills
  • Expertise in visualizing and manipulating big datasets
  • Familiarity with Linux
  • Ability to select hardware to run an ML model with the required latency
  • Robust data modelling and data architecture skills
  • Advanced degree in Computer Science/Math/Statistics or a related discipline
  • Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc)

Nice to Have:

  • Familiarity with Scala, Java, and R code writing


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