At a Glance
- Tasks: Develop and deploy cutting-edge AI solutions in the financial sector.
- Company: Synechron, a leader in digital transformation for financial services.
- Benefits: Collaborative environment, ongoing learning, and impactful projects.
- Why this job: Join a forward-thinking team revolutionising financial services with AI.
- Qualifications: Experience with AI techniques, teamwork, and problem-solving skills.
- Other info: Exciting opportunities for growth and innovation in a dynamic field.
The predicted salary is between 28800 - 48000 Β£ per year.
About Us: Synechron is a leading global consulting and technology services provider, specialising in digital transformation within financial services. Our AI Practice focuses on delivering cutting-edge AI and machine learning solutions to our clients.
Position Overview: We are seeking a proactive and skilled AI Engineer to join our dynamic AI Practice. In this role, you will support the development, deployment, and maintenance of AI and ML solutions across various projects in the financial sector. The ideal candidate is passionate about leveraging AI to solve real-world problems, has practical experience with AI techniques, and demonstrates strong collaboration skills.
Key Responsibilities:
- Assist in developing, testing, and deploying AI applications aligned with business goals.
- Collaborate with cross-functional teams to seamlessly integrate AI solutions into existing systems.
- Preprocess data, engineer features, and conduct basic analysis to support machine learning models.
- Support ongoing maintenance and iterative improvement of AI models in production environments.
- Contribute to research initiatives, staying updated on the latest AI and ML advancements.
- Document project processes and present findings to stakeholders effectively.
Qualifications:
- Familiarity with JavaScript is advantageous.
- Knowledge of cloud platforms like AWS and Azure.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving, teamwork, and communication skills.
Nice to have:
- Exposure to explainable AI (XAI), time-series forecasting, or NLP.
- Experience deploying AI models at scale.
- Familiarity with containerisation (Docker), CI/CD pipelines, and version control systems.
Why Join Us:
Be part of a forward-thinking team harnessing the power of AI to revolutionise financial services. We offer a collaborative environment, ongoing learning opportunities, and the chance to work on innovative projects that make an impact.
Artificial Intelligence Engineer employer: Synechron
Contact Detail:
Synechron Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Artificial Intelligence Engineer
β¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether they're personal or professional. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. Practice explaining your thought process and problem-solving approach. We want to see how you tackle real-world challenges!
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI techniques, cloud platforms, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Passion: In your cover letter, let us know why you're passionate about AI and how you see it solving real-world problems. We love candidates who are excited about leveraging technology to make a difference in financial services.
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your experiences and skills. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it shows youβre keen to join our team at StudySmarter!
How to prepare for a job interview at Synechron
β¨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss specific techniques you've used, like data preprocessing or feature engineering. Having real-world examples will show your passion and practical experience.
β¨Show Off Your Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any projects where teamwork was key to integrating AI solutions.
β¨Get Familiar with the Tools
If you have experience with cloud platforms like AWS or Azure, make sure to mention it. Also, if you've worked with containerisation tools like Docker or CI/CD pipelines, bring that up too. It shows you're ready to hit the ground running!
β¨Stay Updated on Trends
Demonstrate your commitment to the field by discussing recent advancements in AI and ML. Mention any research initiatives you've been part of or interesting articles you've read. This shows you're proactive and genuinely interested in the industry.