Senior Software Engineer, Artificial Intelligence

6 months ago

Singapur, Singapore ST Engineering Full time

Title: Senior Software Engineer, Artificial Intelligence

Job ID: Location:

Elect – Jurong East Street, SG

Description:

The Company - ST Engineering Group Engineering Center

At ST Engineering, we apply our technology and innovation to solve real-world problems and improve lives. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust as a global technology, defence and engineering group. Our diverse portfolio of businesses spans the aerospace, smart city, digital solutions, defence and public security segments. As the Group Engineering Centre, we aim to transform the use of technology across all of ST Engineering businesses.

Job Brief (Full-Time)

We are looking for a Senior Software Engineer specializing in large language models and natural language processing. Our mission is to push the boundaries of what is possible in the realm of AI and to create transformative solutions that impact industries worldwide. You will play a pivotal role in advancing our state-of-the-art AI-powered applications and products. You will collaborate with cross-functional teams of engineers, researchers, and product managers to design, develop, and deploy innovative solutions that redefine the way our users engage with language-based technologies. You will be expected to translate state-of-the-art techniques into working products and deploy them at scale. Your technical leadership and deep domain knowledge will drive the evolution of our platform and contribute to our mission of revolutionizing the way people interact with machines.

Responsibilities:

Lead the design, development, and deployment of robust and scalable applications leveraging large language models and natural language processing techniques. Collaborate with research teams to implement and optimize cutting-edge algorithms for language understanding, generation, and manipulation. Architect and maintain infrastructure for training and deploying language models, ensuring efficient and reliable production-grade performance. Collaborate closely with product managers to define technical requirements and ensure alignment with business objectives. Stay abreast of industry trends, emerging technologies, and advancements in natural language processing to drive continuous innovation. Participate in code reviews, design discussions, and contribute to the overall technical excellence of the engineering team. Identify and address performance bottlenecks, scalability challenges, and other technical constraints. Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and growth within the team.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. PhD is a plus. Minimum of 3 years of experience in software engineering in the area of AI and Deep Learning development. Understanding of machine learning fundamentals with proven track record of designing and deploying large language models, such as GPT, BERT, or similar. Familiarity with working in a Linux environment on public clouds and locally with extensive hands-on experience with natural language processing libraries and frameworks, including TensorFlow, PyTorch, TensorRT, spaCy, NLTK, or equivalent. Strong programming skills in languages such as Python, Java, C++, or similar. Solid grasp of software engineering principles, software design patterns, and architectural best practices. Experience with building and consuming RESTful APIs. Experience with databases and data storage solutions, such as SQL, NoSQL, vector databases, and caching systems. (e.g. PostgreSQL, MongoDB, Milvus, MinIO, Redis) Experience with designing and implementing real-time data processing, event-driven architectures using message queuing and publish-subscribe patterns. (e.g. Apache Kafka) Proficiency in setting up, maintaining or using CI/CD pipelines using tools (e.g. Jenkins, GitLab CI/CD) Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Excellent problem-solving skills, attention to detail, and a passion for staying at the forefront of technological advancements. Effective communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders.

Working Perks & Professional Development

Great opportunity to get industry and enterprise experience. Exposure to the full spectrum of product development. Join a young and dynamic team with forward-looking working culture. Lots of room to tinker and experiment.

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