At a Glance
- Tasks: Deploy AI solutions and onboard customer documents while collaborating globally.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with endless learning opportunities.
- Why this job: Be at the forefront of AI technology and make a real difference in the industry.
- Qualifications: Experience in data engineering, AI ethics, and cloud platforms like AWS or Azure.
The predicted salary is between 60000 - 80000 £ per year.
Please note: You must be eligible for SC (Security Check) clearance to apply for this position.
What you’ll be doing:
- Deploy solution into new customer tenant (based on a re‑usable method)
- Onboard customer documents into the solution, including making sure diagrams have been properly parsed
- Configure Langchain for vector processing and graph extraction
- Create agents to generate new outputs from existing knowledge graph
- Tune prompts so that customers can find the information they are looking for
- Collaborate with off‑shore teams and share knowledge with other AI developers around the world
What experience you’ll bring:
- Technical data engineer with a strong desire and drive to learn new technologies and to apply these technologies in new spaces
- Someone with a real technical facility to solve problems without significant oversight or leadership
- An understanding of AI and AI ethics
- An understanding of data safety in use of Large Language Models
- Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, SageMaker, Lambda, S3, EC2)
- Python
- LangGraph
- Neo4j/cypher
- Other coding languages/frameworks e.g. Java/.Net
- AI RAG (retrieval augmented generation)
- Graph RAG
- Embedding models/LLMs – how they work, how they are trained
Gen AI Developer employer: NTT DATA, Inc.
As a Gen AI Developer with us, you'll be part of a forward-thinking team that values innovation and collaboration, working in a dynamic environment that encourages continuous learning and professional growth. Our commitment to employee development is matched by our supportive work culture, where diverse ideas are celebrated, and your contributions directly impact cutting-edge AI solutions. Located in a vibrant area, we offer unique advantages such as flexible working arrangements and access to industry-leading resources, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Gen AI Developer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like NTT DATA, Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Gen AI Developer at NTT DATA, Inc..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NTT DATA, Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Gen AI Developer at NTT DATA, Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Gen AI Developer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at NTT DATA, Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NTT DATA, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NTT DATA, Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NTT DATA, Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
