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

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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.