Senior Staff Machine Learning Engineer

Key Skills

ipad, Java Programming, Python Programming, SQL, Agile methodologies, Machine learning techniques, Deep Learning, Docker, Kubernetes-K8s, Continuous Integration & Continuous Delivery - CI/CD, Algorithms, Data Modelling, MLOps tools, Statistical modeling, Data structuring

Job Description

Senior Staff Data Scientist

Location: Shugart, SG

About our group:

• The Operations & Technology Advanced Analytics Group work for initiative helping 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:

Senior Staff Machine Learning Engineer:

• Understand business requirement 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. Understanding of the complete analytics lifecycle and applications.
• 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.
• Lead projects independently until results meet the internal stakeholder requirements.
• Be the subject matter expert and mentor other Machine Learning Engineers.
• Ability to teach in our analytics upskilling program and coach participants when required.

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 oral and written communication skills are skills you possess.
• Self-starter with the ability to drive initiatives and influence.
• The ability to work alone as well as in a team environment.
• A collaborative attitude and a global mindset with an ability to work well with native and non-native English speakers.
• Able to participate in conference calls outside of regular local work hours.
• Fast learning capability.
• Ability to drive initiatives and influence.

Your experience includes:

Senior Staff Machine Learning Engineer:

• More than 10 years of experience in Python (and basic ML libraries), Java, and SQL. Knowledge of ML frameworks and hands-on deployment experience.
• Proficient in git version control. 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.
• Experience in working with HDD cert log and cert data.
• 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:

The Shugart site (named after Seagate's founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT station, many employees choose to take mass-transportation to work. Ample free on-site parking is also available. Being a purpose built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym and recreation rooms. Our yogo and zumba classes are very popular. We also offer classes and interest groups in photography, gardening and foreign languages, and have various on-site celebrations, and community volunteer opportunities.

Location: Shugart, Singapore

Travel: None