Technical Lead

hace 4 semanas

Tlahuac, México Wipro Limited A tiempo completo

Overview:ONSITE POSITION****Responsibilities**:- Strong problem-solving skills with an emphasis on product development.- Selecting features, building and optimizing machine learning techniques to improve the accuracy of new products.- Analyse data for trends and patterns, understanding insight from data with a unbiassed mindset.- Implement different analytical methodologies to help solve various problems related to the energy industry.- Close collaboration with software developers and machine learning engineers in the implementation of analytical models into production or commercialization.- Develop and utilize algorithms to perform error analysis to improve model uniformity and accuracy.- Communicate your findings to both technical and non-technical stakeholders.- Comfort working in a very dynamic, research-oriented team with several projects under construction in parallel.Required Qualifications:- Advanced degree in a highly quantitative field: Computer Science, Machine Learning, Geology, Statistics, Mathematics, etc.- Advanced English conversational and written skills.- Proficiency with data mining, knowledge of probability theory and advanced statistical techniques.- Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis.- Experience with scientific scripting languages (e.g., Python, R, Matlab)- Experience accessing and manipulating data in SQL database environments.Preferred Qualifications:- Recent work or internship experience in an advanced data analytics role.- Experience with object-oriented programming (e.g., C#/C++, Java).- Knowledge of deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc.- Knowledge of the energy industry, understanding the different challenges and potential solutions.Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.Roles & Responsibilities:- Título avanzado en un campo altamente cuantitativo: Informática, Machine Learning, Geología, Estadística, Matemáticas, etc.- Habilidades avanzadas de conversación y escritura en inglés.- Dominio de la minería de datos, conocimiento de la teoría de la probabilidad y técnicas estadísticas avanzadas.- Experiência con análisis de regresión (más allá de la regresión lineal), aprendizaje supervisado, aprendizaje no supervisado o análisis de series temporales.- Experiência con lenguajes de programación científicos (por ejemplo, Python, R, Matlab)- Experiência en acceso y manipulación de datos en entornos de bases de datos SQL.

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