Applied AI ML Director
Applied AI ML Director
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
As an Applied AI/GenAI ML Director within the Asset Management AM Ops Techs GenAI/AI ML Team at JPMorgan Chase you will utilize your profound engineering knowledge to collaborate with agile teams in enhancing creating and delivering trusted toptier technology products in a secure stable and scalable manner. Your deep expertise will be leveraged to consistently challenge the norm innovate for business impact and spearhead the strategic development of new and existing products and technology portfolios. You will stay abreast of industry trends best practices and technological advancements. Your role will concentrate on establishing and nurturing common capabilities best practices and reusable frameworks thereby laying the groundwork for AI excellence that propels innovation and consistency across business functions.
Job responsibilities
- Establish and promote a library of common ML assets including reusable ML models features stores data pipelines and standardized templates.
- Lead efforts to create shared tools and platforms that streamline the endtoend ML lifecycle across the organization.
- Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines
- Advise on the strategy and development of multiple products applications and technologies.
- Lead advisor on the technical feasibility and business need for AIML use cases.
- Liaise with firm wide AI ML stakeholders.
- Translate highly complex technical issues trends and approaches to leadership to drive the firms innovation and enable leaders to make strategic well informed decisions about technology advancements.
- Influence across business product and technology teams and successfully manages senior stakeholder relationships.
- champion the firms culture of diversity opportunity inclusion and respect.
Required qualifications capabilities and skills
- Formal training or certification on Machine Learning concepts and 10 years applied experience in one of the programming languages like Python Java C/C etc. In addition 5 years of experience leading technologists to manage anticipate and solve complex technical items within your domain of expertise
- MS and/or PhD in Computer Science Machine Learning or a related field
- Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Handson experience with machine learning and deep learning methods.
- Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team.
- 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 needed.
- Experience with Ray MLFlow and/or other distributed training frameworks.
- Understanding of Embedding based Search/Ranking Recommender systems Graph techniques and other advanced methodologies.
using Advanced knowledge in Reinforcement Learning or Meta Learning. - 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.
Required Experience:
Director
Employment Type
Full-Time
