Senior ML Engineer

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Experience:  6 to 9 years

Salary:  upto 30 LPA

Location: Bangalore

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
  • Analyzing the errors of the model and designing strategies to overcome them
  • Identifying differences in data distribution that could affect model performance in real-world situations
  • Performing statistical analysis and using results to improve models
  • Supervising the data acquisition process if more data is needed
  • Defining data augmentation pipelines
  • Defining the pre-processing or feature engineering to be done on a given dataset
  • To extend and enrich existing ML frameworks and libraries
  • Understanding where the findings can be applied to business decisions
  • Documenting machine learning processes


Role Proficiencies:

  • 6+ years of IT experience in which at least 4+ years of relevant experience primarily in converting data science prototypes and deploying models to production
  • Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc
  • Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas
  • 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
  • Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)
  • Advanced degree in Computer Science/Math/Statistics or a related discipline.
  • Robust data modelling and data architecture skills.
  • Experience:

    6 - 9 Years

  • Salary:

    25 LPA - 30 LPA

  • Diversity Candidate:


  • Location:


  • Address:


  • Primary Skills:

    GCP, Python, Flask, Machine Learning, Deep Learning, Jupyter Notebook, Kube Flow & Kubernetes

  • Industry:

    Information Technology

  • Job Type:

    Full time

  • Degree:

    Btech, MTech, B.Sc., MSc, BCA, MCA

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