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Job Description:
@c
#Responsibilities:
‣Develop and implement machine learning algorithms and models for oil & gas applications, including computer vision, recommendation systems, and predictive analytics.
‣Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to define requirements and translate them into scalable and efficient software solutions.
‣Design and build software components and infrastructure to support data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
#Requirements:
‣Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
‣Strong programming skills in languages such as Python, Java, or C++, with experience in software development and version control systems.
‣In-depth knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
‣Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
‣Experience with data preprocessing, feature engineering, and model evaluation techniques.
‣Solid understanding of statistics, probability theory, and linear algebra.
About Company:
Caliche is a multidisciplinary tech company with a deep understanding of the emerging technologies. It deals with technology development for various disciplines and handles the deployment of novel technologies. Caliche leverages their expertise in Energy, Biotech and AI to develop technologies. All technologies that are developed at Caliche are carbon neutral or net-carbon negative.
