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- Tasks: Join us as a Data Scientist / AI Engineer, focusing on NLP and deep learning.
- Company: Work with a global leader in AI technology based in Norwich.
- Benefits: Enjoy a competitive salary, bonuses, and great benefits.
- Why this job: Be part of cutting-edge AI projects that make a real impact.
- Qualifications: 3+ years in AI/ML, expertise in Python, TensorFlow, and NLP required.
- Other info: Must have excellent communication skills and UK work eligibility.
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist / AI Engineer (TensorFlow, PyTorch) Required Our Norwich based Global client seeks an experienced Data Scientist / AI Engineer with the following must have skills and experience Min of 3 years of commercial experience in a similar DS / AI Engineer role Essential technical skills: * Technical Skills: * Proficiency in programming languages such as Python, C++, or Java. * Deep knowledge of LLMs and natural language processing, including hands-on experience with transformer architectures (e.g., GPT, BERT, T5). * Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX. * Strong knowledge of machine learning algorithms and their application to NLP tasks. * Experience with cloud platforms such as AWS, GCP, or Azure for model deployment and scalability. * Experience in building APIs, services, and infrastructure to support AI-driven applications. * Experience: * Experience in AI/ML engineering with a focus on LLMs and NLP. * Proven track record of fine-tuning pre-trained models for various NLP tasks. * Experience in MLOps and deploying machine learning models in production. Our client is offering a competitive salary including bonus and benefits Candidates must have excellent communication sklills and be eligible to live and work in the UK without any restrictions Please note only candidates with all of the above will be considered for this role
Data Scientist / AI Engineer (TensorFlow, PyTorch) employer: Chameleon IT Solutions
Contact Detail:
Chameleon IT Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / AI Engineer (TensorFlow, PyTorch)
✨Tip Number 1
Make sure to showcase your hands-on experience with transformer architectures like GPT, BERT, or T5. Highlight specific projects where you fine-tuned these models for NLP tasks, as this will demonstrate your expertise in the field.
✨Tip Number 2
Familiarize yourself with the cloud platforms mentioned in the job description, such as AWS, GCP, or Azure. If you have experience deploying models on these platforms, be ready to discuss it during the interview.
✨Tip Number 3
Prepare to talk about your experience with MLOps and how you've successfully deployed machine learning models in production. This is a key aspect of the role, so having concrete examples will set you apart.
✨Tip Number 4
Since excellent communication skills are essential for this position, practice explaining complex technical concepts in simple terms. This will help you convey your ideas clearly during interviews and show that you can work well with cross-functional teams.
We think you need these skills to ace Data Scientist / AI Engineer (TensorFlow, PyTorch)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your minimum of 3 years of experience in a similar Data Scientist / AI Engineer role. Detail specific projects where you utilized LLMs, NLP, and deep learning frameworks like TensorFlow or PyTorch.
Showcase Technical Skills: Clearly list your proficiency in programming languages such as Python, C++, or Java. Include any hands-on experience with transformer architectures and machine learning algorithms relevant to NLP tasks.
Demonstrate MLOps Knowledge: Discuss your experience with MLOps and deploying machine learning models in production. Mention any cloud platforms you've worked with, such as AWS, GCP, or Azure, to show your capability in model deployment and scalability.
Communicate Effectively: Since excellent communication skills are essential for this role, ensure that your application is well-structured and free of errors. Use clear and concise language to convey your qualifications and enthusiasm for the position.
How to prepare for a job interview at Chameleon IT Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in programming languages like Python, C++, or Java. Highlight specific projects where you've utilized deep learning frameworks such as TensorFlow or PyTorch, and be ready to explain your approach to working with transformer architectures like GPT or BERT.
✨Demonstrate Your Experience with LLMs and NLP
Share concrete examples of your experience in AI/ML engineering, particularly focusing on LLMs and natural language processing. Discuss any fine-tuning of pre-trained models you've done and the impact it had on your projects.
✨Discuss MLOps and Deployment Strategies
Prepare to talk about your experience with MLOps and how you've deployed machine learning models in production. Mention any cloud platforms you've used, such as AWS, GCP, or Azure, and how they contributed to the scalability of your applications.
✨Communicate Effectively
Since excellent communication skills are a must, practice explaining complex technical concepts in simple terms. Be ready to engage in discussions about your work and how you can contribute to the team, ensuring clarity and confidence in your responses.
