Senior Data Scientist
2 months ago
We are a pioneering force in the field of geospatial technology and artificial intelligence, dedicated to developing state-of-the-art AI models and applications.
Job Title: Senior Machine Learning EngineerWe are seeking an experienced Senior Machine Learning Engineer to lead the development and implementation of our machine learning models.
Key Responsibilities:- Design, develop, and deploy machine learning models and algorithms.
- Analyze and preprocess large datasets to create high-quality training data.
- Develop, implement, and optimize machine learning algorithms to solve complex problems.
- Collaborate with cross-functional teams to integrate machine learning models into production systems.
- Evaluate and compare model performance using various metrics and improve model accuracy and reliability.
- Conduct code reviews, provide mentorship, and guide junior engineers in best practices.
- Stay current with the latest advancements in machine learning technology and industry best practices.
- Bachelor's or master's degree in Computer Science, Engineering, Mathematics, or a related field.
- At least 5 years of working experience in computer vision, deep learning, machine learning, or AI methodologies.
- A minimum of 3 years of hands-on experience developing machine learning models.
- Proficiency in Python, TensorFlow, PyTorch, and/or other ML languages and frameworks.
- Strong understanding of machine learning algorithms, statistical methods, and data processing techniques.
- Experience with big data technologies such as Hadoop, Spark, and cloud platforms.
- Knowledge of deep learning techniques and applications.
- Experience with computer vision and natural language processing (NLP).
- Experience with geospatial data and geographic information systems (GIS).
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