Total 2 Senior Executive lab manager job vacancies in D17 Loyang, Changi

Key Responsibilities:
• Perform routine microbiology/chemistry testing services by using established procedures/protocols. Support testing by following procedure in completing validation/revalidation activities (equipment and/or processes) for critical systems and sterilization equipment.
• Perform preliminary investigation and write-up; deliberate with Microbiologist/Chemist in root cause investigations for product/sample failures and Out-of-Specifications (OOS).
• Perform validation/re-validations for new/existing laboratory equipment according to established protocol.
• Update operating procedures and/or validation protocols/reports
• Data entry and trending of routine microbial/chemistry testing for analysis by Microbiologist/Chemist
• Review, follow and perform job functions in compliance with established work instructions and adherence with SOPs, including recording traceable information on device history records.
• Other incidental duties

Education and Experience:
Other: in NITEC or equivalent in related science field, 3 years experience previous experience working in a laboratory environment Required or
Other: in Higher NITEC or equivalent in related science field, 2 years experience previous experience working in a laboratory environment Required or
Associate's Degree or equivalent in Diploma in related science field, 1 Year experience previous experience working in a laboratory environment Preferred or
Bachelor's Degree in in related science field Preferred

Additional Skills:
• Ability to read, comprehend, and write English; good communication and interpersonal skills, required
• Knowledge of and adherence to Edwards Environmental Health and Safety and Quality guidelines as they relate to department clean room medical device manufacturing
• Must be able to work in a team environment and with minimum supervision
• Good Computer skills, required
• Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control

About the job

As a Machine Learning Data Engineer at CAG, you will be responsible for designing, implementing, and maintaining the data pipelines and infrastructure that support our machine learning projects. You will work closely with data scientists, machine learning engineers, cloud engineer and other cross-functional teams to ensure the availability, reliability, and performance of our data systems. Your role will be critical in enabling the development and deployment of advanced machine learning models that drive key business insights and innovations.

This role requires a blend of technical expertise, project management skills, and the ability to deliver robust, scalable data solutions in a fast-paced environment.

Responsibilities:

1. Architect and implement scalable data solutions to address complex business challenges, leveraging advanced analytics, statistical methods, and machine learning techniques. Apply advanced data preprocessing, transformation, and enrichment techniques to ensure high-quality inputs for machine learning models.
2. Partner with data scientists and ML engineers to translate data requirements into actionable insights, optimizing feature engineering processes and model deployment strategies.
3. Construct and manage modern data infrastructure, including data warehouses and data lakes, to facilitate seamless data access for analysis and model training.
4. Continuously optimize data pipelines for performance, scalability, and cost-effectiveness, considering factors such as data volume, processing speed, and resource utilization.
5. Collaborate closely with DevOps and IT teams to ensure smooth deployment, monitoring, and maintenance of data pipelines in production environments.
6. Work cross-functionally to ensure adherence to data governance, security, and privacy regulations.
7. Stay at the forefront of data engineering and machine learning advancements, driving the adoption of best practices within the team.
8. Mentor junior team members and contribute to the overall data strategy of the organization.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 5 years’ work experience
2. Extensive hands-on experience with cloud platforms, particularly AWS and GCP, including their data services and analytics offerings.
3. Strong coding skills with proficiency in:Infrastructure as Code (e.g., Terraform, CloudFormation)
   Shell scripting
   Python
   SQL
   
4. Deep understanding of big data technologies, distributed computing, and modern data architecture patterns. Proven track record in designing and implementing large-scale data solutions, including data pipelines, data warehouses, and data lakes.
5. Demonstrated ability to successfully deliver projects, meet milestones, and drive initiatives from conception to production.
6. Experience with data streaming technologies (e.g., Kafka, Kinesis) and batch processing frameworks (e.g., Spark, Hadoop).
7. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
8. Strong problem-solving skills and ability to translate complex business requirements into technical solutions.
9. Excellent communication skills with the ability to collaborate effectively across cross-functional teams.