DevOps, Data Scientist
6 months ago
Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role and Responsibilities
- resolution for client cases and increase support deflection rates. You will work across the entire software delivery cycle including requirements gathering, use case definition, design, implementation, test, documentation and delivery. You'll frequently work with IBM Research, Architects, Data Scientists, Support Engineers, and a high performance development team throughout this process. This role may require some attention after normal working hours in order to collaborate with the WW team, or troubleshoot and resolve production issues experienced by clients.
The undisputed priority for IBM is to scale watsonx as the AI for business platform for enterprise clients and establish IBM as the top-of-mind choice for AI and foundation models.
Our watsonx suite makes it possible for clients to build, train, tune and deploy AI across their business, leveraging critical, trusted data wherever it resides. TLS is aiming to become client zero in capturing the full potential of this platform.
Required Technical and Professional Expertise
- 8 - 12 years of relevant industry experience
- Minimum of 5 years of experience in a DevOps Developer or Engineer role or similar.
- Proficiency in scripting and Python programming language
- Experience in analytics and interactive visualization platforms like Grafana
- Strong understanding of CI/CD pipelines and tools like Tekton
- Experience in Terraform modules.
- Experience with IBM cloud and cloud-based services
- Working knowledge with ML Ops and maintenance
- Proficiency in containerization technologies (e.g., Docker, Kubernetes, OCP).
- Can understand and program Python code from in-code comments and high-level description/instructions
- Has experience with scripting/automating AI/ML experiments and benchmarking
- Specific libraries: Python libraries for Deep NNs and LLMs/foundation models (e.g. transformers, BERT, GPT, BLOOM, T5), DB libraries jaydebeapi and psycopg2 (IBM DB2 and Postgress), indexing and clustering (scikit-learn and FAISS)
- Comfortable/experienced with: logging, pathlib, json, pandas (data manipulation), scikit-learn (preprocessing, model evaluation metrics, visualization), time (timestamp processing)
- Strong experience with Angular / typescript
- Experience in Monitoring and operating Kubernetes clusters
- Understanding of networking and security concepts
- Self-starter, organised with self-learning skills, ability to work independently
- Great communication skills, self-managed and a team player
- Ability to work effectively as part of a worldwide, agile development team.
- Fluent English
Preferred Technical and Professional Expertise
- Skills for implementation, operations and maintenance of DevOps environnent - MLOps, DevOps, UX Design
- Experience in deploying and maintaining services and pipelines in IBM Cloud containerized environments.
- Experience in automating the deployment and scheduling of micro
- services
About Business UnitIBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world’s most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing.
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 outcome focused approach within everything that they do.
Are you ready to be an IBMer?
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