Technical Lead

hace 3 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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