Website FinTechCore FinTech Core Systems
Banking Infrastructure Reinvented
Job Description
About the Role
Design, develop, and deploy machine learning models that drive innovative solutions. Partner with cross-functional teams to integrate these models into production software, enhancing user experiences and business outcomes.
Responsibilities
- Develop and deploy robust machine learning models using Python and TensorFlow
- Conduct experiments to test and refine machine learning algorithms
- Collaborate with data scientists to transform raw data into usable resources for model training
- Integrate machine learning models into production-level software and mobile applications
- Continuously monitor and optimize the performance of machine learning systems in live environments
- Prepare and document technical details and procedures of machine learning systems
- Mentor junior engineers to foster a growing culture of innovation and collaboration
Requirements
- Master’s or PhD in Computer Science, Engineering, or a related field
- 5+ years of experience in machine learning engineering
- Proficiency in machine learning frameworks such as TensorFlow and PyTorch
- Solid understanding of mathematical and statistical concepts relevant to machine learning
- Experience with big data processing tools like Hadoop or Spark
- Strong coding skills, particularly in Python and SQL
- Experience with cloud platforms like AWS or Google Cloud for deploying ML models
Benefits
- Competitive salary with performance-based bonuses
- Comprehensive health benefits including dental and vision
- Flexible work hours and remote working options
- Continuous learning and professional development support
- Generous paid leave and public holidays
- Employee wellness and recreational programs
- An inclusive and dynamic work environment focused on innovation
About the Company
NeuroTech Labs drives innovation at the intersection of neuroscience and machine learning. Our mission is to revolutionize the way we understand and interact with the brain through cutting-edge technology. We promote a collaborative and innovative culture, and we are dedicated to advancing scientific and engineering expertise.
Job ID: machine-learning-engineer-jr2Fg
