Description

Role & responsibilities Understand business requirements and translate them into technical requirements Designing and Development of optimized and efficient solutions using technologies including but not limited to .Net, Python, R, SQL Managing a set of resources with varied skill sets including but not limited to Python , R, .Net, SQL Testing of the application / tools / solutions and changes developed Maintenance and Troubleshooting of internally developed applications Create specification, technical documentation and estimations as required for various projects. Preferred candidate profile Advanced (PhD/Masters/Bachelors) degree in a Statistics, Engineering, Mathematics field, Computer Science or other relevant disciplines Have excellent conceptual understanding of Machine Learning and Deep Learning algorithms Interest in building End-to-End Machine Learning projects with full accountability Excel in Data Wrangling, Cleaning, Feature Engineering and Data Visualizations Must have strong experience in SQL, Python Strong hands on Machine Learning experience across Classification, Clustering, Regression, Ensemble Algorithms, Naive Bayes, Time Series etc Solid understand of Statistical/ Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments, Data Structures Hands on experience in Deep Learning knowledge across CNNs, RNNs, GANs, NLP Applications, Computer Vision Applications, LSTMs, GRUs Experience working in Cloud environment is a plus, not mandatory Building Restful APIs with Flask, Docker Deployments is a plus, not mandatory Perks and benefits

Role and Responsibilities

• Role & responsibilities Understand business requirements and translate them into technical requirements Designing and Development of optimized and efficient solutions using technologies including but not limited to .Net, Python, R, SQL Managing a set of resources with varied skill sets including but not limited to Python , R, .Net, SQL Testing of the application / tools / solutions and changes developed Maintenance and Troubleshooting of internally developed applications Create specification, technical documentation and estimations as required for various projects. Preferred candidate profile Advanced (PhD/Masters/Bachelors) degree in a Statistics, Engineering, Mathematics field, Computer Science or other relevant disciplines Have excellent conceptual understanding of Machine Learning and Deep Learning algorithms Interest in building End-to-End Machine Learning projects with full accountability Excel in Data Wrangling, Cleaning, Feature Engineering and Data Visualizations Must have strong experience in SQL, Python Strong hands on Machine Learning experience across Classification, Clustering, Regression, Ensemble Algorithms, Naive Bayes, Time Series etc Solid understand of Statistical/ Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments, Data Structures Hands on experience in Deep Learning knowledge across CNNs, RNNs, GANs, NLP Applications, Computer Vision Applications, LSTMs, GRUs Experience working in Cloud environment is a plus, not mandatory Building Restful APIs with Flask, Docker Deployments is a plus, not mandatory Perks and benefits