Software Developer

2 weeks ago

Singapore Nanyang Technological University Full time

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A software developer is crucial in a research institute because they manage and analyze large data sets, automate repetitive tasks, and enhance collaboration among researchers. They develop custom tools and platforms that streamline workflows, improve accuracy, and facilitate the sharing of data and findings. Additionally, developers drive innovation by prototyping new ideas and integrating advanced technologies like AI and big data. They also support the visualization and dissemination of research outputs, making complex data more accessible and impactful. Overall, their expertise significantly boosts the efficiency, accuracy, and innovation of research activities.

Key Responsibilities:
- Design, develop, and implement AI and ML models to support research initiatives.- Collaborate with researchers to understand project requirements and translate them into technical solutions.- Develop and maintain data pipelines for efficient data processing and analysis.- Perform data analysis and visualization to derive insights and support decision-making.-
- Conduct experiments and tests to validate AI and ML models and refine them based on results.-
- Document development processes, models, and algorithms for future reference and reproducibility.- Ensure compliance with data privacy and security regulations in all development activities.- Be an R&D team lead to define & achieve the project goals- Work closely with researchers, developers, partners and/or external vendors for timely project delivery- Any other ad-hoc duty or responsibility, e.g., project presentation, progress report preparation, procurement and research collaborations etc. assigned by the project supervisor

Job Requirements:
- Bachelor’s or master’s degree in computer science, Data Science, AI, or a related field.- Min. Years 8 Years of experience in data engineering, software development, or similar roles- Prior exposure to ML/Data products is a good to have- Work on tasks that are an intersection of Software development, Data engineering & Data science Management/Artificial Intelligence/Machine Learning

Solid knowledge & Strong expertise:
- Experience of open-source SQL/NoSQL databases e.g., Postgres, Timescale DB, Cassandra- Experienced in secure RESTful API development- Experienced in Unix/Linux shell scripting- Experienced in containerized Microservice development using Docker, Kubernetes- Familiar with modern data ETL stack components (Apache Airflow, streaming/events via Kinesis/Kafka, etc.)- Familiar with Python data science tools/packages (Pandas, Numpy)- Experience of MLOps is a plus- Code integration (Merge request and conflicting code resolution)- Experience fixing software build issues- Software Code Review techniques and code debugging skill- Writing clean code & structured approach in building software systems- Worked in Agile methodology- Interested in learning AI/ML workflows- Willing to learn new technologies based on the project needs

Proficiency:
- Proficient in JavaScript, Python, Go and similar programming languages for backend development- Proficient in SQL- Strong skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, Pandas, Numpy, TensorFlow and Spark, etc.- Experience with building and maintaining Big Data, using open-source technologies such as Hadoop and Cassandra- Proficient in React, Angular or similar frontend technologies- Proficient in deploying and maintaining CI/CD pipelines e.g. Gitlab CI/CD.

Hiring Institution: NTU

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