
Chief Data Innovation Officer
4 days ago
Job Description:
- You are a key player in driving innovation and leading complex projects to success.
- With impressive experience in steering multiple projects forward, you will make a profound impact on technologies and departments across the organization.
- You will lead innovation for AI/ML platforms and drive impact within teams, technologies, and projects.
- You will be part of an innovative team, working closely with Product Owners, ML Engineering, and Software engineering to build new AI/ML solutions.
- You will take on mentorship roles and foster a culture of constant learning and architecture evolution.
Responsibilities:
- You will own and evangelize solutions related to data architecture, ML Platform, and GenAI platform architecture.
- You will provide tactical solution and design support to the team and embedded with engineering on the execution and implementation of processes and procedures.
- You will serve as a subject matter expert on a wide range of ML techniques and optimizations.
- You will provide in-depth knowledge of distributed ML platform deployment including training and serving.
- You will create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques.
- You will gain experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines.
- You will get hands-on code and design to bring experimental results into production solutions by collaborating with the engineering team.
- You will own end-to-end code development in Python/Java for both proof of concept/experimentation and production-ready solutions.
- You will optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks.
- You will collaborate with product and engineering teams to deliver tailored, science and technology-driven solutions.
Required Qualifications:
- Formal training or certification in software engineering concepts and 10+ years applied experience.
- At least 10 years experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
- Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs).
- Hands-on experience with machine learning and deep learning methods.
- Good understanding in deep learning frameworks such as PyTorch or TensorFlow.
- Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
- Ability to work on system design from ideation through completion with limited supervision.
- Passion for detail and follow through. Excellent communication skills and team player.
- Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.
- Practical cloud-native experience such as AWS.
Benefits:
- JPMorgan Chase offers innovative financial solutions to millions of consumers, small businesses, and prominent corporate clients.
- 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.
Miscellaneous:
- Applicants need to apply on the company's redirected page of this job.
Keyword: Data Architect
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