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.
IBM Technology Expert Labs is hiring an AI/ML Engineer who is passionate about helping customers use the latest Data and AI computing technologies to solve their real-world problems. You will work closely with clients and IBM consultants, technology experts, and product development teams to collect, organize and analyze data to use Data Science and AI to address mission needs.
As a Data & AI Consultant in the IBM Technology Expert Labs Delivery organization, you will work in an agile, collaborative environment, partnering with customer stakeholders, to develop mission-based solutions with Banks & Government customers to:
- Assess customer mission requirements and architect appropriate data science solutions to meet mission needs
- Develop data science and AI solutions using Cloud Pak for Data technologies such as watsonx.ai, watsonx.assistant, watsonx.governance, watsonx.data.
- Deploy innovative Cloud Pak for Data and watsonx solutions across a variety of cloud platforms
- Exploit the data fabric architecture of Cloud Pak for Data and watsonx.data to accelerate data science and AI
Who You Are:
- You have strong technical and analytical abilities, a knack for driving impact and growth, and experience with cloud native computing technologies
- You are great at solving problems, debugging, troubleshooting, and designing & implementing solutions
- You have excellent communication skills and are adept at describing complex technical issues to a non-technical audience.
- You are technically forward-thinking, passionate about embracing new technology and developing your technical skills, such as in Cloud Pak for Data and watsonx
· Designing and delivering AI solutions: With a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
· Strong programming skills: Proficiency in Python and experience with AI frameworks preferably LangChain, flask, fast api, or alternatively TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
· Solutioning Experience: Solution architecture and design, translating business requirements into technical specifications, developing scalable and robust AI solutions.
· Business Acumen: Experience collaborating closely with customers, understanding their needs, business objectives, and translating their requirements into effective AI solutions.
· Excellent interpersonal and communication skills: Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
· Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
- 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
- Familiarity in AWS, Azure, GCP infrastructure and consumption models.
- GraphML knowledge and associated methods, algorithms.
- 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