Job Responsibilities

• Bachelor’s Degree in the fields of Statistics or an equivalent with a minimum of 3 years of experience in data science.
• Should be able to interpret complex requirements and translate them to a machine learning algorithm.
• Should have expertise in machine learning techniques: Regression, Classifications, Decision Trees, Random Forest.
• Should have expertise in Deep Learning & Reinforcement Learning techniques
• Should have experience in building statistical models using the above-mentioned techniques
• Should possess the ability to build & deploy the models and interpret the results to business users
• Should have experience working with NLP models and building-related applications such as chatbot, text-classifications, etc
• Should have experience working with big data tools – Hadoop, Hive, Spark.
• Proficiency in Python, Good understanding of OOPs is a must.
• Worked with at least one mainstream machine learning framework such as Caffe, convNet, Tensor Flow and Torch
• Experience working with Cloud platforms (Azure, AWS, GCP)
• Should have experience in building & designing data warehouses.
• Should have the ability to write complex SQL & stored procedures
• Should have experience in working with API’s - deploying models, extracting data.
• Should have good communication skills and ability to interact with customers