Machine Learning Engineer

2 weeks ago


Bengaluru, Karnataka, India Kloud9 Full time
Job Title: Machine Learning Engineer

Job Summary:

Kloud9 is seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models to solve complex business problems.

Responsibilities:

  • Design and develop machine learning models to solve complex business problems
  • Deploy models to production and ensure their performance and scalability
  • Train and retrain models as needed to improve their accuracy and efficiency
  • Analyze the errors of the model and design strategies to overcome them
  • Identify differences in data distribution that could affect model performance in real-world situations
  • Perform statistical analysis and use results to improve models
  • Supervise the data acquisition process if more data is needed
  • Define data augmentation pipelines and pre-processing or feature engineering to be done on a given dataset
  • Extend and enrich existing ML frameworks and libraries
  • Understand when the findings can be applied to business decisions
  • Document machine learning processes

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
  • 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
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets online that could be used for training


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