Machine Learning Intern

Key Skills

Agile methodologies, AWS, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, Data Mining, Data Modeling, Data science techniques, Data structuring, Deep Learning, Docker, Java Programming, Kubernetes-K8s, Machine learning techniques, MLOps tools, Python Programming, SQL, Statistical modeling

Job Description

About our group:

The Data Science Group works to help our internal customers turn the data they have into the information they need to develop and deliver industry-leading storage solutions.

About the role - you will:

• Understand business requirements to build reliable data infrastructure using big data technologies
• Maintain scalable machine learning solutions in production and take end-to-end ownership of the ML systems and solutions from data pipelines, model training, optimization, verification, deployment to real-time prediction engines
• Build AI/ML models: apply ML algorithms and libraries, train and retrain ML systems and models, tune and analyze AI/ML algorithms and extract actionable insights
• Play a key role in MLOps: follow machine learning model management, lifecycle best practices, and MLOps for all AI/ML models created
• Design ML systems, research and implement ML algorithms and tools
• Identify, design and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security standards
• Architect and create data views from big data store to feed into analysis engines, visualization engines etc.
• Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues
• Focus on Seagate advanced analytics projects related to Machine Learning (ML)
• Develop data mining algorithms, perform data wrangling and exploration

About you:

• Data science/Machine Learning evangelist and an assessor in promoting new ways of diving into complex issues while assessing current practices and identifying areas where training or knowledge would help
• Strong interpersonal and communication skills (written and verbal)
• Self-starter with the ability to drive initiatives
• Fast and independent learner
• Good team player with a collaborative attitude and a global mindset to work well with native and non-native English speakers

Your experience includes:

• Experience in Python (and basic ML libraries), Java, and SQL
• Knowledge of ML frameworks and hands-on deployment experience
• Proficient in Git version control and experience working in an agile environment.
• Strong foundation in data modeling, data structure, CI/CD, MLOps, software engineering, and system architecture design principles
• Build production-ready ML models
• Experience in Kubernetes/Docker and Microservices
• Ability to deploy data science solutions in cloud and edge analytics infrastructure, and AWS
• Solid technical knowledge and hands-on skills in machine learning engineering, deep learning, statistical algorithms, data mining, and data structures
• Ability to participate in conference calls outside of regular local work hours

Location: Shugart, Singapore
Travel: None