Machine Learning Engineer
Overview:
We are seeking a talented Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to drive business insights and decision-making.
Duties:
- Design, develop, and deploy machine learning models using Machine learning frameworks to solve complex business problems.
- Utilize tools and techniques to extract insights from large datasets.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
- Optimize algorithms for performance and scalability in a Big data environment.
- Conduct data analysis using SQL and other database technologies.
- Implement Unsupervised learning techniques for anomaly detection and pattern recognition.
- Work on AWS cloud services for model deployment and maintenance.
- Participate in Database design discussions to ensure efficient data storage and retrieval.
Qualifications:
- Master's degree in Computer Science, Engineering, Mathematics, or related field; Phd preferred.
- Proven experience in machine learning, data analysis, and statistical modeling.
- Proficiency in programming languages such as Python.
- Strong understanding of machine learning concepts including supervised and unsupervised learning.
- Knowledge of database design principles and SQL queries.
Join our team as a Machine Learning Engineer and contribute to cutting-edge projects that leverage the power of data analytics. If you are passionate about machine learning and enjoy solving complex problems, we want to hear from you!
Job Type: Full-time
Pay: $118,414.00 - $161,201.00 per year
Benefits:
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
Compensation package:
- Bonus opportunities
- Performance bonus
- Yearly bonus
Experience level:
Schedule:
- 8 hour shift
- Day shift
- Monday to Friday
Experience:
- Python: 4 years (Required)
- SQL: 2 years (Required)
- Machine learning: 2 years (Required)
Work Location: Remote