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Software and Machine Learning Engineer

2 weeks ago

Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$4,500 - S$6,000 / Monthly

**Job Type**

**Seniority**

Junior

**Years of Experience**
At least 2 years

**Tech Stacks**
TensorFlow AWS C++ PyTorch Rust Git Java Python

About Us

We're a diverse team from Singapore, all driven by one mission: giving everyone a private, secure identity. At Seventh Sense, we're a deep-tech AI company on a mission to make self-sovereign identity available to everyone. With advanced biometric verification, we provide solutions for accurate face recognition and easy video analysis, shaping a safer, smarter future for all.

We are backed by well-known international investors and recognized local investors, such as CapVista (the strategic investment arm of Singapore’s Defense, Science and Technology Agency within the Ministry of Defense).

As a Software and Machine Learning Engineer, you will be responsible for developing, implementing, and deploying software solutions that incorporate machine learning algorithms and techniques. You will work closely with cross-functional teams to design and build robust, scalable, and efficient systems that leverage the power of machine learning to solve complex problems.

**Responsibilities**
- Research, prototype, and implement machine learning models and algorithms to solve real-world problems.
- Optimize machine learning pipelines and algorithms for efficiency and effectiveness.
- Collaborate with data engineers to ensure the availability and quality of data for machine learning projects
- Design and implement experiments to evaluate the performance of machine learning models using appropriate metrics.
- Deploy machine learning models into production environments, ensuring reliability, scalability and maintainability
- Test and debug code to ensure functionality, reliability and performance
- Research and explore new technologies, frameworks, and tools that can enhance development processes
- Assist in documenting code, APIs and technical specifications

**Qualifications**
- Bachelor’s in Computer Engineering or Computer Science
- Strong programming skills in languages such as Python, Java, Rust, or C++
- Experience with machine learning frameworks and libraries such as TensorFlow and PyTorch
- GIT and AWS Cloud experience
- Creative, collaborative, and innovation-focused
- Strong sense of project ownership and personal responsibility