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For Companies At a Glance
- Tasks: Lead the development of cutting-edge AI solutions using advanced frameworks and models.
- Company: Join ENGINEERINGUK, a leader in innovative technology solutions.
- Benefits: Enjoy flexible work options and access to the latest tech tools.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Bachelor's degree in relevant fields and strong experience with ML frameworks and cloud computing.
- Other info: Work with top-tier technologies like PyTorch, Docker, and Kubernetes.
The predicted salary is between 54000 - 84000 £ per year.
Communication Libraries, Frameworks, and Models
When it comes to communication libraries, we utilize NCCL and MPI. Our work also involves frameworks like PyTorch, NeMO, and Jax, along with models such as Llama and Nemotron.
We heavily engage with containers such as Docker and Enroot, as well as orchestrators/schedulers like EKS.
BASIC QUALIFICATIONS
- Bachelor’s degree in computer science, engineering, mathematics, or related fields
- Deep familiarity across the stack is required, including:
- Compute infrastructure such as Amazon EC2 and Lustre
- ML frameworks PyTorch and JAX
- Orchestration layers like Kubernetes and Slurm
- Parallel computing with NCCL and MPI
- MLOPs
- Experience with target use cases in the cloud
You will be responsible for driving the development of…
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Principal GenAI Specialist Solutions Architect, Training & Inference in London - ENGINEERINGUK employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal GenAI Specialist Solutions Architect, Training & Inference in London - ENGINEERINGUK
✨Tip Number 1
Make sure to showcase your hands-on experience with the specific frameworks and libraries mentioned in the job description, like PyTorch and JAX. Highlight any projects where you've utilized these technologies to demonstrate your practical knowledge.
✨Tip Number 2
Familiarize yourself with the latest trends and advancements in GenAI and MLOps. Being able to discuss recent developments or case studies during your interview can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with cloud computing, particularly with Amazon EC2 and orchestration tools like Kubernetes. Be ready to provide examples of how you've leveraged these technologies in past roles.
✨Tip Number 4
Network with professionals in the field through platforms like LinkedIn or relevant tech meetups. Engaging with others who work with similar technologies can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace Principal GenAI Specialist Solutions Architect, Training & Inference in London - ENGINEERINGUK
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities and requirements of the Principal GenAI Specialist Solutions Architect position. Familiarize yourself with the specific technologies mentioned, such as NCCL, MPI, PyTorch, and Docker.
Tailor Your CV: Customize your CV to highlight your experience with the required technologies and frameworks. Emphasize your familiarity with cloud computing, orchestration layers, and parallel computing to align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and how your background fits the company's needs. Mention specific projects or experiences that demonstrate your expertise in ML frameworks and compute infrastructure.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all technical terms are used correctly to present a professional image.
How to prepare for a job interview at ENGINEERINGUK
✨Show Your Technical Expertise
Be prepared to discuss your experience with communication libraries like NCCL and MPI, as well as frameworks such as PyTorch and JAX. Highlight specific projects where you've utilized these technologies to demonstrate your deep familiarity across the stack.
✨Discuss Cloud Experience
Since the role involves cloud-based solutions, be ready to talk about your experience with Amazon EC2 and other cloud services. Share examples of how you've implemented MLOps in cloud environments and the impact it had on your projects.
✨Emphasize Parallel Computing Knowledge
Make sure to convey your understanding of parallel computing concepts, especially with NCCL and MPI. Discuss any relevant projects where you optimized performance through parallel processing, showcasing your problem-solving skills.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to drive development in complex environments. Think of situations where you had to make critical decisions regarding orchestration layers like Kubernetes or Slurm, and be ready to explain your thought process.
