At a Glance
- Tasks: Lead technical projects in AI and ML, shaping the future of document processing.
- Company: Join JPMorgan, a global leader committed to diversity and innovation.
- Benefits: Enjoy competitive pay, inclusive culture, and opportunities for personal growth.
- Other info: Be part of a diverse team that values your unique talents.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: Experience in AI/ML, big data, and microservices is preferred.
The predicted salary is between 80000 - 100000 £ per year.
Take a technical leadership position within JPMorgan's Commercial convey information clearly and create trust with stakeholders.
Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e. g.
Kubeflow, DVC, Ray) Experience of big data technologies (e. g.
Spark, Hadoop) Have constructed batch and streaming microservices exposed as REST/g RPC endpoints Familiarity with Graph QL We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Visit our FAQs for more information about requesting an accommodation. #J-18808-Ljbffr
Applied AI ML Lead - DocAI employer: Next Frontier Capital
Next Frontier Capital is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the EMEA Energy sector. Employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to lead high-impact M&A and capital markets transactions in a dynamic environment. Join us to be part of a team that values strong leadership and proactive engagement, ensuring meaningful contributions to the energy landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Lead - DocAI
✨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 Next Frontier Capital!
✨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 Applied AI ML Lead - DocAI at Next Frontier Capital.
✨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 Next Frontier Capital.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI ML Lead - DocAI at Next Frontier Capital, 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 Applied AI ML Lead - DocAI
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 Next Frontier Capital, 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 Next Frontier Capital. 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 Next Frontier Capital
✨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 Next Frontier Capital!
✨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.
