Your role and responsibilities
As a Technical Consultant in Cloud Platform Engineering Services:
Your primary responsibilities will include:
- Compute Fundamentals: Demonstrating a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.
- Cloud Technologies: Demonstrate experience with cloud platforms like GCP, AWS, and Azure, including their AI/ML services.
- Demonstrate Generative AI Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)
- ML Development: Demonstrate experience with Machine Learning model development and deployment.
- AIML Frameworks: Demonstrate experience with frameworks for deep learning (e.g.PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.
Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
• Exposure to Cloud Platforms: Familiarity with cloud platform engineering services, including architecture, deployment, and management of cloud-based systems.
• Experience with Skill Taxonomies: Knowledge of skill taxonomy development and implementation, including categorization, mapping, and maintenance of technical skills.
• Integration Expertise: Exposure to integrating new offerings into existing practices, ensuring minimal disruption and optimal results.
• Cloud Service Offerings: Familiarity with cloud service offerings, including infrastructure, platform, and software as a service (IaaS, PaaS, SaaS) models.
- Compute Fundamentals: Demonstrating a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.
- Cloud Technologies: Demonstrate experience with cloud platforms like GCP, AWS, and Azure, including their AI/ML services.
- Demonstrate Generative AI Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)
- ML Development: Demonstrate experience with Machine Learning model development and deployment.
- AIML Frameworks: Demonstrate experience with frameworks for deep learning (e.g.PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.
Preferred technical and professional experience
• Cloud Service Models Knowledge: Familiarity with cloud service offerings, including infrastructure, platform, and software as a service (IaaS, PaaS, SaaS) models.
• Cloud Platform Architecture: Exposure to cloud platform engineering services, including architecture, deployment, and management of cloud-based systems, to support the development of a new skill taxonomy.
OTHER RELEVANT JOB DETAILSIBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
We consider qualified applicants with criminal histories, consistent with applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
