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- Tasks: Design and develop AI/ML solutions to tackle data management challenges.
- Company: Join J.P. Morgan's innovative Applied AI ML team.
- Benefits: Competitive salary, diverse teams, and career acceleration opportunities.
- Other info: Embrace a collaborative culture focused on innovation and transformation.
- Why this job: Shape the future of data and AI while making a global impact.
- Qualifications: Expertise in AI/ML, Python, and SQL required.
The predicted salary is between 80000 - 100000 £ per year.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. Join us to shape the future of data, analytics, and AI at JPMorganChase. As part of our Applied AI ML team, you will have the opportunity to work in dynamic squads focused on impactful products and projects. You’ll collaborate with diverse teams, accelerate your career, and help deliver solutions that enhance our data management and governance capabilities. We value your technical expertise, solution-oriented mindset, and passion for innovation. Your contributions will directly influence how we maximize the value of data globally.
As a Vice President in the Firmwide Chief Data Office’s Applied AI ML team, you will design and deliver AI solutions that advance our data governance and management capabilities. You will work closely with business lines, corporate functions, and engineering teams to identify opportunities and create impactful solutions. Your role will empower you to move between tribes and squads, leveraging your strengths and interests. You will help foster a collaborative, innovative culture focused on driving transformation through AI and machine learning.
Job Responsibilities- Design and develop AI/ML solutions for data management challenges
- Build prototypes to demonstrate value to stakeholders
- Collaborate with business lines and corporate functions to identify needs
- Partner with engineering and data science teams for solution delivery and integration
- Maintain comprehensive documentation of models, experiments, and processes
- Deliver written, visual, and oral presentations of modeling results to stakeholders
- Stay current with research in LLM, ML, and data science
- Identify and leverage emerging techniques to enhance solutions
- Formal training or certification in data and AI/ML concepts with expert applied experience
- Proven commercial experience developing in Python and manipulating large volumes of complex data using SQL
- Extensive experience as a data scientist, AI/ML engineer, or AI/ML researcher
- Demonstrated ability to solve complex problems with multiple constraints
- Ability to articulate business needs to technical leadership and technical issues to business leadership
- Proven ability to engage constructively and collaboratively with engineers, designers, and company leaders
- Experience using AI agents and copilots to enhance business processes or user experiences
- Experience with data management
The Firmwide Chief Data Office is dedicated to maximizing the value and impact of data globally, with a strong focus on governance. Our teams accelerate JPMorganChase’s data, analytics, and AI journey through strategy, impact optimization, privacy, governance, transformation, and talent development. 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.
Applied AI ML Lead employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI ML Lead
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at J.P. Morgan or in similar roles. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or prototypes, make sure to highlight them. Demonstrating your AI/ML solutions can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex data challenges in the past. They’ll want to see your thought process in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re all about making connections, so let’s get you in the door!
We think you need these skills to ace Applied AI ML Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Applied AI ML Lead role. Highlight your technical expertise in AI/ML, Python, and SQL, and don’t forget to showcase any relevant projects or achievements.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data management. Share specific examples of how you've solved complex problems and contributed to innovative solutions in your previous roles.
Showcase Your Collaboration Skills: Since this role involves working with diverse teams, emphasise your ability to collaborate effectively. Mention any experiences where you’ve partnered with engineers, designers, or business leaders to deliver impactful solutions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to review your application and get you on the path to joining our dynamic team at J.P. Morgan!
How to prepare for a job interview at hackajob
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and machine learning concepts. Be ready to discuss your experience with Python and SQL, as well as any projects you've worked on that demonstrate your ability to solve complex data management challenges.
✨Showcase Collaboration Skills
Since this role involves working closely with diverse teams, prepare examples of how you've successfully collaborated with engineers, designers, and business leaders in the past. Highlight your ability to articulate technical issues to non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills under constraints. Think of specific instances where you've tackled complex problems and be ready to explain your thought process and the impact of your solutions.
✨Stay Current with Trends
Familiarise yourself with the latest research in LLM, ML, and data science. Being able to discuss emerging techniques and how they can enhance solutions will show your passion for innovation and commitment to staying ahead in the field.