Machine learning engineer recruitment in Mumbai - For a client of TeamLease Services Ltd

Accountabilities

·        Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.                

·        Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

·        Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world. 

·        Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

·        Analyze the errors of the model and design strategies to overcome them.

·        Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

 Qualifications & Specifications

·        Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

·        Experience of machine learning algorithms and libraries

·        Understanding of data structures, data modeling and software architecture.

·        Deep knowledge of math, probability, statistics and algorithms

·        Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

·        Big data environment: Hadoop, Spark

·        Programming languages: Python, R, PySpark

·        Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means clustering, ensemble models, random forest, svm, gradient boosting

·        Sampling data: bagging & boosting, bootstrapping

·        Neural networks: ANN, CNN, RNN related topics

·        Deep learning: Keras, Tensorflow

·        Experience with AWS Sagemaker deployment and agile methodology

·        For Analyst – 3 to 5 years of experience and for Sr. Analyst – 5 to 8 years of experience