Machine Learning Engineer

Skills required:

• Advanced skill in Computer Science/Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.) or a related discipline.
• Robust data modelling and data architecture skills.
• Programming experience in Python, R, Java, C++, etc.
• Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc.
• Experience in working with ML frameworks like TensorFlow and Keras.
• Worked with ML libraries and packages like Scikit learn, Theano, Tensorflow, Matplotlib, Caffe, etc.

• To study and convert data science prototypes.
• To design and develop Machine Learning systems and schemes.
• To perform statistical analysis and fine-tune models using test results.
• To find available datasets online for training purposes.
• To train and re-train ML systems and models as and when necessary
• To extend and enrich existing ML frameworks and libraries.
• To develop Machine Learning apps according to customer/client requirements.
• To research, experiment with, and implement suitable ML algorithms and tools.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by their success probability.
• To explore and visualize data for better understanding and identify differences in data distribution that could impact model performance when deploying it in real-world scenarios.