Senior AI/ML Analytics Scientist & Solutions Architect

Mindcloud Consultants; Sydney; Hybrid; AUD 180,000 - 240,000; Full time

Job summary

Mindcloud Consultants in Sydney invites a seasoned AI/ML/AA specialist to work with customers to identify opportunities where AI, ML and analytics can solve pain points. You will develop prototypes and PoCs to derive actionable insights from data and collaborate with stakeholders to design data storage and compute infrastructure for deployment.

You will also define project scope, requirements, budgets and timelines, implement projects, and ensure AI/ML/AA objectives are met in line with client

Qualifications

• Bachelor's (Honours) in Computer Science, Information Systems, Statistics, Applied Mathematics, Operations Research, or related disciplines.
• 10+ years experience in AI/ML/AA.
• Desirable domain experience in public safety, defence, transport, education or healthcare.
• Experience with large data sets, data visualization, data mining and data cleansing/transformation.
• Experience with Hadoop/Hive/HBase/NoSQL and languages Python, Perl, Java.
• Strong knowledge of Big Data architectures (Hadoop, MPP, in-database).
• Familiarity with SAS, SPSS, SQL, STATA, R, Python.

Responsibilities

• Identify opportunities to apply AI/ML/AA to data to solve customer pain points.
• Develop prototypes/PoC/PoV to derive actionable insights from data.
• Architect storage and compute infrastructure to support deployment of AI/ML/AA models and visualisation.
• Collaborate with project managers to define project scope, requirements, budget and timeline.
• Implement AI/ML/AA projects and ensure objectives are met.

Skills

AI/ML/AA

Big Data

Python

Java

SQL

Data visualization

Statistical analysis

Education

Bachelor's (Honours) in CS/IS/Statistics/Math/OR related

Tools

Hadoop

Hive

HBase

NoSQL

Python

Perl

Java

Job description

Mindcloud Consultants in Sydney invites a seasoned AI/ML/AA specialist to work with customers to identify opportunities where AI, ML and analytics can solve pain points. You will develop prototypes and PoCs to derive actionable insights from data and collaborate with stakeholders to design data storage and compute infrastructure for deployment.

You will also define project scope, requirements, budgets and timelines, implement projects, and ensure AI/ML/AA objectives are met in line with client