Delivery Consultant Technology Expert Labs Watsonx
hace 7 meses
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.
Your Role and Responsibilities
- / 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
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
Creating and executing agile plans where you are responsible for installing and provisioning assets, testing, migrating to production, and day-two operations
Conducting and participating in technical solution workshops
Developing successful relationships at all levels —from engineers to CxOs—with experience of navigating challenging debate to reach healthy resolutions.
Demonstrating a natural bias towards self-motivation, curiosity, initiative in addition to navigating data and people to find answers and present solutions
Strong collaboration and communication skills as you work across the client, partner, and IBM team
Required Technical and Professional Expertise
Proficiency in Python and object-oriented programming.
Experience consuming APIs and reading documentation.
Understanding of machine learning algorithms, statistical modeling, and data mining techniques.
Knowledge of document understanding techniques, such as text extraction, classification, entity recognition, information retrieval, and semantic analysis.
Experience with data preprocessing, feature engineering, and data wrangling techniques to handle real-world datasets.
Hands -on experience in data science and machine learning frameworks and libraries such as TensorFlow, PyTorch, SciKit Learn, Pandas, Matplotlib, etc.
Understanding of key concepts in the Foundation Models literature and expertise in building and deploying them for real-world examples.
Hands on in prompt engineering and fine tuning pre-trained Foundation Models.
Proficiency with cloud technologies, particularly Kubernetes and Cloud Platforms like AWS, IBM Cloud or Microsoft Azure.
Understanding of MLOps concepts and technologies.
Preferred Technical and Professional Expertise
Proficiency in Python and object-oriented programming.
Experience consuming APIs and reading documentation.
Understanding of machine learning algorithms, statistical modeling, and data mining techniques.
Knowledge of document understanding techniques, such as text extraction, classification, entity recognition, information retrieval, and semantic analysis.
Experience with data preprocessing, feature engineering, and data wrangling techniques to handle real-world datasets.
Hands -on experience in data science and machine learning frameworks and libraries such as TensorFlow, PyTorch, SciKit Learn, Pandas, Matplotlib, etc.
Understanding of key concepts in the Foundation Models literature and expertise in building and deploying them for real-world examples.
Hands on in prompt engineering and fine tuning pre-trained Foundation Models.
Proficiency with cloud technologies, particularly Kubernetes and Cloud Platforms like AWS, IBM Cloud or Microsoft Azure.
Understanding of MLOps concepts and technologies.
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an out
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