
Sr Machine Learning Engineer (Hybrid)
Are you passionate about utilizing cutting-edge technology to solve complex problems? Do you have a strong background in machine learning and a desire to make a significant impact in the real estate industry? If so, then we have the perfect opportunity for you. First American is seeking a highly skilled Sr Machine Learning Engineer (Hybrid) to join our dynamic team. In this role, you will have the opportunity to work with a talented group of individuals and use your expertise to develop innovative solutions for our clients. We are looking for a driven and creative individual with a minimum of 5 years of experience in machine learning and a strong understanding of data manipulation and predictive modeling techniques. If you are ready to take your career to the next level and make a difference, then we encourage you to apply for this exciting position.
- Utilize cutting-edge technology to develop innovative solutions for complex problems in the real estate industry.
- Develop and implement machine learning algorithms and models to improve the accuracy and efficiency of our processes.
- Collaborate with cross-functional teams to identify business needs and translate them into technical requirements.
- Stay updated on industry trends and advancements in machine learning to continuously improve our solutions.
- Manipulate large datasets and apply predictive modeling techniques to extract valuable insights.
- Ensure the quality and integrity of data used in machine learning processes.
- Provide technical guidance and mentorship to junior team members.
- Communicate complex technical concepts and findings to non-technical stakeholders.
- Conduct regular tests and evaluations to monitor and improve the performance of machine learning models.
- Identify and resolve any issues or errors in the machine learning process.
- Participate in research and development projects to explore new methods and technologies in machine learning.
- Collaborate with external partners and vendors to enhance our machine learning capabilities.
- Adhere to data privacy and security regulations in all machine learning processes.
- Continuously seek opportunities to optimize and automate processes using machine learning techniques.
- Take ownership of projects and ensure timely delivery of high-quality solutions.
Advanced Degree In Computer Science, Engineering, Mathematics, Or Related Field
Minimum Of 5 Years Of Experience In Machine Learning And Data Science
Strong Programming Skills In Languages Such As Python, R, Java, Or C++
Experience With Both Supervised And Unsupervised Machine Learning Techniques
Proven Track Record Of Successfully Implementing Machine Learning Models In A Business Setting, Preferably In The Financial Or Insurance Industry.
statistical analysis
Deep Learning
Cloud Computing
Natural language processing
Machine learning algorithms
Data Analytics
Predictive modeling
Big Data management
Neural Networks
Programming Languages (Python, Java, Etc
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Problem Solving
Time management
creativity
flexibility
Teamwork
Adaptability
According to JobzMall, the average salary range for a Sr Machine Learning Engineer (Hybrid) in Santa Ana, CA, USA is between $135,000 - $165,000 per year. This range can vary depending on factors such as experience, skills, and the specific industry or company the engineer is working in. Additionally, bonuses and other forms of compensation may also affect the overall salary.
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First American Financial Corporation provides comprehensive title insurance protection and professional settlement services for homebuyers and sellers, real estate agents and brokers, mortgage lenders, commercial property professionals.

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