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About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

Roles & Responsibilities

We are seeking a Machine Learning Software Engineer to transform data science solutions into production-ready systems. The successful candidate will be responsible for productionizing algorithms and models efficiently for our manufacturing analytics solutions.

Your Role and Impact

As our ML Software Engineer, you will have a crucial role in bridging the gap between data science research and production systems. You will work closely with Data Scientists to transform algorithms and AI/ML models prototypes into production systems. Your role will be focusing on robust software architecture, efficient processing systems, and scalable deployment solutions. You will work alongside Data Engineers to ensure seamless integration of ML systems with data infrastructure.

What You’ll Do

1. Transform experimental feature extraction algorithms and ML models from prototypes created by data scientists into production-ready systems.

1. Build efficient data processing pipelines for model training and inference.

1. Develop backend services for real-time predictions and analytics.

1. Optimize database queries and data access patterns.

1. Create automated testing and validation systems.

What We’re Looking For

Educational Background:

Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.

Technical Expertise:

• 3+ years of software engineering experience, with 1+ year in ML systems.

• Strong Python programming and software engineering practices.

• Strong system design and software architecture thinking.

• Proficiency in SQL database, NoSQL database, and in-memory caching (e.g., Redis).

• Experience with ML frameworks and model serving, with solid understanding of ML pipelines and MLOps practices.

• Experience with RESTful API, task queue system (e.g., Celery), and data pipeline orchestrator (e.g., Apache Airflow, Dagster).

• Experience with containerization (Docker), version control (Git), and CI/CD practices.

• Solid understanding in software testing practices (unit testing, integration testing).

• Knowledge of performance optimization and profiling tools.

Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.

• Excellent problem-solving and debugging abilities.

• Ability to balance engineering tradeoffs.

Bonus Skills:

• Experience with distributed computing systems.

• Familiarity with frontend web development.

• Knowledge of time-series data processing and signal processing techniques.

What we Offer

• A leading role in cutting-edge AI projects within the semiconductor industry.

• The opportunity to work with an learn from experts in the field of AI and data science.

• A dynamic, innovative, and supportive work environment.

• Competitive salary and benefits package.

• Career growth opportunities in a fast-paces technology company.