Ai Engineer

Introduction

Joining the IBM Technology Expert Labs teams means you'll have a career delivering world-class services for our clients.

As the ultimate expert in IBM products, you'll bring together all the necessary technology and services to help customers solve their most challenging problems.

Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best—running and growing their business.

Excellent onboarding and industry-leading learning culture will set you up for a positive impact, while advancing your career.

Our culture is collaborative and experiential.

As part of a team, you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us.

Your Role And Responsibilities

As a Delivery Engineer, you will learn and experience how we apply technical expertise to ensure world-class delivery using consultative skills such as problem-solving, issue- / hypothesis-based methodologies, communication, and service orientation skills.

As a member of IBM Technology Expert Labs, you will be client-focused, courageous, pragmatic, and technical to optimize and trailblaze new solutions that address real business challenges.

To help achieve this win-win outcome, a 'day-in-the-life' of this role may include, but not be limited to…

Developing Solutions to Reach True Business Value : Understanding clients' main challenges and developing solutions that help them reach true business value by working through the phases of design, development, integration, implementation, migration, and product support with a sense of urgency.

Agile Planning and Execution : Creating and executing agile plans where you are responsible for installing and provisioning assets, testing, migrating to production, and day-two operations.

Self-Motivated Problem Solving : Demonstrating a natural bias towards self-motivation, curiosity, and initiative in addition to navigating data and people to find answers and present solutions.

Collaboration and Communication : Strong collaboration and communication skills as you work across the client, partner, and IBM team.

Required Technical And Professional Expertise

Required Technical and Professional Experience :

The ideal candidate will have a data science background and experience including but not limited to identifying use cases, building and validating models, deployment models via APIs, monitoring and retaining models, and creating Machine Learning pipelines and training modules.

Background in several areas including :

Computer Science,

Programming,

Probability and Statistics,

Big Data and Machine Learning.

NV1 Clearance and Australian Citizen are required.

Minimum 1 to 2 Years of Hands-on Experience

Preferred Technical and Professional Experience

Exposure to programming in at least two of the following : Python, R, Scala, or Java.

Preference for Python expertise.

Experience with Machine Learning pipelines—data ingestion, feature engineering, modeling including ensemble methods, prediction, explanation, deployment, and diagnosing overfitting.

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