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- Tasks: Design AI solutions using AWS cloud and collaborate with clients' teams.
- Company: Join a leading tech transformation company with a global presence.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real difference.
- Qualifications: 3+ years in AI/ML solutions and strong coding skills in Python or R.
- Other info: Diverse and inclusive workplace that values collaboration and excellence.
The predicted salary is between 70000 - 90000 £ per year.
We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
Key Responsibilities
- Working with customers’ development and data science teams to deeply understand their business and technical needs.
- Designing solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Polly, Amazon Forecast, Amazon Personalize, and other AI/ML services.
- Acting as a technical liaison between customers and the AWS SageMaker services team to provide customer driven product improvement feedback.
Basic Qualifications
- 3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions.
- 1+ years of experience with one or more Deep Learning frameworks such as Apache MXNet, TensorFlow, Caffe2, Keras, Microsoft Cognitive Toolkit, Torch, and Theano.
- 5+ years professional experience in software development in languages related to ML like Python or R.
- Experience working with RESTful API and general service-oriented architectures.
- 3+ years of experience in technical architecture, design, deployment and operations for AI platforms, standards, protocols and devices.
Preferred Qualifications
- Graduate degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.).
- 5+ years of industry experience in predictive modeling and analysis.
- Ability to develop experimental and analytical plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships.
- Consulting experience and track record of helping customers with their AI needs.
- Publications or presentations in recognized Machine Learning, Deep Learning and Data Mining journals/conferences.
- Experience with AWS technologies like SageMaker, Redshift, S3, EC2, Data Pipeline, Kinesis & EMR.
- Knowledge of SparkML.
- Able to write production level code, which is well-written and explainable.
- Experience using ML libraries, such as scikit-learn, caret, mlr, mllib.
- Experience working with GPUs to develop models.
- Experience handling terabyte size datasets.
- Track record of finding data to discover hidden patterns.
- Experience in working with data visualization tools.
- Knowledge and experience of running SQL.
- Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format.
- Experience giving public presentations.
Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
AI Specialist Solutions Architect, London employer: Ci&T
Contact Detail:
Ci&T Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Specialist Solutions Architect, London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and solutions. We recommend using platforms like GitHub to share your code and demonstrate your expertise in AWS services and machine learning frameworks.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Specialist roles and practice your responses. We suggest doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our diverse and inclusive team.
We think you need these skills to ace AI Specialist Solutions Architect, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI/ML solutions and AWS services, as this is what we’re looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about AI and how your background makes you a great fit for the role. Don’t forget to mention any consulting experience or projects that showcase your expertise!
Showcase Your Projects: If you’ve worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially with tools like TensorFlow or SageMaker.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Ci&T
✨Know Your Tech Inside Out
Make sure you’re well-versed in the AWS AI/ML services mentioned in the job description. Brush up on SageMaker, Amazon Comprehend, and others. Being able to discuss how you've used these tools in past projects will show your expertise and make you stand out.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using AI or machine learning. Think about challenges you've faced, the solutions you implemented, and the impact they had. This will demonstrate your ability to understand customer needs and design effective solutions.
✨Communicate Clearly and Confidently
Since you'll be acting as a liaison between customers and technical teams, practice explaining complex concepts in simple terms. Use examples from your experience to illustrate your points. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Emphasise Collaboration and Diversity
Highlight your experience working in diverse teams and how collaboration has led to successful outcomes in your projects. Share any experiences that reflect your commitment to fostering an inclusive environment, as this aligns with the company’s values.