watsonx.data – Advisory Delivery Consultant in MARKHAM, Ontario

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 Consultant, you will work closely with IBM clients and partners to design, deliver, and optimize IBM Technology solutions that align with your clients’ goals. In this role, you will apply your technical expertise to ensure world-class delivery while leveraging your consultative skills such as problem-solving issue- / hypothesis-based methodologies, communication, and service orientation skills. As a member of IBM Technology Expert Labs, a team that is client focused, courageous, pragmatic, and technical, you’ll collaborate with clients to optimize and trailblaze new solutions that address real business challenges.  If you are passionate about success with both your career and solving clients’ business challenges, this role is for you. To help achieve this win-win outcome, a ‘day-in-the-life’ of this opportunity may include, but not be limited to… Solving Client Challenges Effectively: Understanding clients’ main challenges and developing solutions that helps them reach true business value by working thru 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. Technical Solution Workshops: Conducting and participating in technical solution workshops. Building Effective Relationships: Developing successful relationships at all levels —from engineers to CxOs—with experience of navigating challenging debate to reach healthy resolutions. Self-Motivated Problem Solver: Demonstrating a natural bias towards self-motivation, curiosity, 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

• Strong industry experience in data science – i.e. statistical functions and algorithms, data modelling, analytics, business intelligence, natural language processing, decision optimization, DataOps

• Strong knowledge AI/ML, LLM-based models, Data + MLOps lifecycle

• Experience with statistical programming in one of the most popular languages (ex: Python, R, SAS or Java) and data science toolkits (Jupyter notebooks, PyTorch, PyCharm, sci-kit, etc.)

• Understanding of data usage, process analysis and improvement

• Understanding of hybrid cloud architectures, data integration needs and containerized environments

Preferred technical and professional experience

• Experience in open source Machine and Deep Learning frameworks, model validation and deployment tools

• Understanding of concepts of data governance, data stewardship and trustworthy AI

• Understanding of generative AI concepts, large language models, data labelling and structuring

• Experienced in data migration, debugging and data system performance optimization

• Familiarity with IBM Watson Knowledge Catalog, Watson Studio and Watson Assistant, Watson Natural Language Processing