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- Tasks: Lead innovative AI projects, optimising ML workflows and coding in Python.
- Company: Join JPMorgan Chase, a global leader in financial services with a commitment to diversity.
- Benefits: Enjoy a full-time role with opportunities for growth and collaboration in a dynamic environment.
- Why this job: Be at the forefront of AI development, shaping intelligent testing solutions that impact the future.
- Qualifications: Must have a degree in Computer Science or related field, with strong Python and ML experience.
- Other info: Flexible work options and a culture that values your unique contributions.
The predicted salary is between 48000 - 84000 £ per year.
Senior Lead Software Engineering – Agnetic AI Development
Join to apply for the Senior Lead Software Engineering – Agnetic AI Development role at JPMorganChase
Senior Lead Software Engineering – Agnetic AI Development
1 week ago Be among the first 25 applicants
Join to apply for the Senior Lead Software Engineering – Agnetic AI Development role at JPMorganChase
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what\’s possible.
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what\’s possible.
As a Senior Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter decision-making across SDLC. Join us in shaping the future of intelligent testing through cutting-edge AI and model-driven engineering.
Job Responsibilities
- Serves as a subject matter expert on a wide range of ML techniques and optimizations.
- Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
- Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conducts experiments using latest ML technologies, analyzing results, tuning models
- Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
- Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
- Integrates Generative AI within the ML Platform using state-of-the-art techniques.
Required Qualifications, Capabilities, And Skills
- Formal training or certification (MS and/or PhD) in Computer Science, Machine Learning, or a related field, with applied machine learning concepts experience.
- Experience in the Python programming language is essential
- Experience in applying data science, ML techniques to solve business problems.
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Hands-on experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow through. Excellent communication skills and team player
Preferred Qualifications, Capabilities, And Skills
- Master’s degree in computer science, ML or related areas
- Experience with Ray, MLFlow, and/or other distributed training frameworks.
- In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
- Experience working with large-scale MLOps pipelines, working with and deploying models to production services.
ABOUT US
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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.
About The Team
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Senior Lead Software Engineering - Agnetic AI Development employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Software Engineering - Agnetic AI Development
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and AI, particularly focusing on large language models (LLMs) and their applications. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the tech community by attending meetups or webinars related to AI and software engineering. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your hands-on experience with Python and relevant ML frameworks like PyTorch or TensorFlow through personal projects or contributions to open-source. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures, as well as ML-specific problems. This preparation will boost your confidence and improve your problem-solving skills.
We think you need these skills to ace Senior Lead Software Engineering - Agnetic AI Development
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly in AI and machine learning. Emphasise your proficiency in Python and any hands-on experience with ML frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning. Discuss specific projects where you've applied ML techniques and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, especially those mentioned in the job description, such as experience with large language models, GPU optimisation, and MLOps pipelines.
Highlight Collaboration Experience: Since the role involves working with product and engineering teams, mention any past experiences where you collaborated on projects. This could include teamwork in agile environments or cross-functional projects.
How to prepare for a job interview at JPMorganChase
✨Showcase Your Technical Expertise
As a Senior Lead Software Engineer, it's crucial to demonstrate your deep understanding of machine learning algorithms and frameworks. Be prepared to discuss specific projects where you've applied these techniques, especially in Python, and how they contributed to solving business problems.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and technical knowledge. Think about past experiences where you optimised ML workflows or integrated AI solutions, and be ready to explain your thought process and the outcomes.
✨Highlight Collaboration Skills
Collaboration is key in this role. Be sure to share examples of how you've worked with cross-functional teams, particularly in delivering tailored technology-driven solutions. Emphasise your communication skills and ability to work effectively within an agile environment.
✨Demonstrate Passion for Innovation
JPMorgan Chase values innovation, so express your enthusiasm for cutting-edge technologies and methodologies in AI and machine learning. Discuss any personal projects or research you've undertaken that showcases your commitment to staying ahead in the field.
