Job Description

Job Responsibilities:

• Work with internal and external stakeholders including customers, partners, and colleagues to solicit requirements, design, develop, test and maintain Machine Learning systems.
• Responsible for documentation of system specifications
• Conduct technical exploration of new Machine Leaning tools, techniques, and platforms.
• Assist to maintain Machine Learning/AI knowledge repository.
• Support pre-sales initiatives, proposal development and provide post-sales support for Machine Learning systems.

Period:

• Permanent

Working Hours:

• Mon \xe2\x80\x93 Fri; 8.30am \xe2\x80\x93 6pm

Salary:

• Up to $6400

Location:

• Island wide, depending on project, most likely AMK/ Bukit Merah / Science Park

Requirements:

• Degree in Computer Science/Engineering, Knowledge Engineering, Information Systems, Information Technology, Mathematics or equivalent with working experience in development of Machine Learning systems
• Recognized professional or industrial certifications in relevant Machine Learning technologies or competencies.
• In-depth technical knowledge in at least two of the below areas:

• Data Modelling
• Data Mining
• Statistical Analysis
• Simulation
• Operations Research
• Data Visualisation
• Predictive Analytics

• Technical expertise in Python, R, SQL, Java, C/C++, MATLAB, Scala etc.
• Knowledge of big data technologies e.g., Hadoop, Spark, Hive, HBase etc. will be an added advantage.
• Knowledge of cloud computing platforms e.g., AWS, Google Cloud Platform, Microsoft Azure will be an added advantage.
• Experience in agile development methodologies
• Knowledge of MLOps best practices in model development and deployment, CI/CD, version control etc.
• Excellent written and verbal communications skills.
• Highly organized, motivated, independent, and resourceful team player
• Strong analytical thinking, interpersonal and problem-solving skills
• Able to work productively in an agile and fast-paced consulting environment.

Interested applicants, kindly email your detailed resume (MS Word format is preferred):
nicholas@successhrc.com.sg (Registration no: R1549023)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 04C3201)

3 Shenton Way, #19-01 Shenton House, Singapore 068805

T: 6337 3183 | F: 6337 0329 | W: www.successhrc.com.sg

Success Human Resource Centre