• Marine Electronics & Telecommunication
• Basic $3000 - $3500
• 5 days (8.30am – 5.30pm)
• Location: Pandan Loop

Responsibilities

• Work together with the clients, either at our office or client’s locations, to understand their needs and translate them into an actionable plan with the team.
• Work closely and communicate effectively with project manager, and other project team members to create and deliver quality solutions for the clients.
• Perform quality control work, taking into considerations of the budget, schedule, and plans.
• Keep track of project status and provide regular reports.
• Assure all the deadlines are being met.

Requirements

• Min Diploma/ Degree in Engineering or other relevant
• No experience are also welcome

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R23114214 | Chloe Tan

Senior Data Storage Engineer

Contract: 12 months

Job Descriptions

• Design, configure, develop, integrate, test, implement, document to support the storage infrastructure ecosystem.
• Work with different teams to explain requirements and suggest the appropriate storage systems and backup solutions and procedures.
• Build storage systems for information and networks for large enterprises that can cater to thousands of users at the same time.
• Facilitate the designing of the concepts and procedures, besides handling resource allotment.
• Maintain the fiber channel switches and SAN arrangements by ensuring that software and firmware are in keeping with the latest needs of the organization.
• Work with vendors to fix issues.
• Research new technologies to find out if they suit their organization’s existing infrastructure. Otherwise build appropriate infrastructure to fit them for the organization needs
• Set up and maintain documentation of the existing technology and solutions.
• Design the concept and process and handle resource allocation.
• Creating data usage and precise performance reports with office applications.
• Technology - storage and backup, Netback, Veeam, ArcServ
• Degree in Computer science or Equivalent
• At least 5-8 years of experience working with Data storage including 1-3 years of implementation experiences

Company Reg No.: 201131609D, Licence No.: 11C4684, EA Reg no: R1655133, Ashraf Ali

Job Description

SIA has multiple positions for senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 2 or more years of relevant industry experience as a hands-on data scientist/AI engineer in shallow and deep learning (you should be very familiar with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
   
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
   
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
   

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Morgan McKinley is partnering with a Global Financial Solutions firm on a Senior Data Scientist position. The incumbent will be involved in developing advanced analytics and machine learning models, and delivering data-driven insights to business leaders across the organization.

Key Responsibilities:

• Develop and implement powerful models using a range of supervised and unsupervised techniques.
• Analyze vast data sets and extract valuable insights.
• Translate business needs into data-driven solutions, collaborating across the organization.
• Empower citizen data scientists to leverage data for their own projects.
• Champion responsible and ethical data use through robust governance practices.
• Stay ahead of the curve with continuous learning in the ever-evolving data science space

Requirements:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Actuarial Science or related fields.
• 7 years of experience in data science or related field.
• Strong knowledge of machine learning algorithms and statistical modelling techniques, especially using Scikit-learn.
• Proficiency in Python, PySpark and SQL.
• Experience with data visualization and reporting tools (e.g. Power BI, QlikSense).
• Excellent communication and problem-solving skills.
• Experience with GenAI solutions and prompt engineering

If you meet these requirements and are passionate about leveraging data science and machine learning to drive business success, we encourage you to apply for this exciting opportunity. Join our client's team and play a pivotal role to understand business needs and translate them into data-driven solutions.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field with at least 5 years of relevant experience

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.