3 Graph Techniques Jobs

As a Software Engineer III at JPMorganChase within the AI/ML & Data Platform team, you will play a critical role in designing and delivering market-leading technology products. Here's a summary of what you can expect in this role: **Role Overview:** You will be a seasoned member of an agile team, responsible for executing software solutions, design, development, and technical troubleshooting. Your role involves creating secure and high-quality production code, maintaining algorithms, and producing architecture and design artifacts for complex applications. Additionally, you will gather, analyze, synthesize, and develop visualizations and reporting from large data sets to drive continuous improvement of software applications and systems. **Key Responsibilities:** - Execute software solutions with innovative approaches - Create secure and high-quality production code - Produce architecture and design artifacts for complex applications - Gather, analyze, synthesize, and develop visualizations and reporting from large data sets - Identify hidden problems and patterns in data for system improvements - Contribute to software engineering communities of practice and events - Foster a team culture of diversity, opportunity, inclusion, and respect **Qualifications Required:** - Formal training or certification in AI/ML concepts with 3+ years of applied experience - Hands-on experience in programming languages, particularly Python - Ability to apply data science and machine learning techniques to address business challenges - Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs) - Expertise in deep learning frameworks such as PyTorch or TensorFlow - Strong communication skills and demonstrated leadership in collaborating effectively with team members Please note that the job description does not include any additional details about the company.,

As a Software Engineer III at JPMorganChase within the AI/ML & Data Platform team, you will play a crucial role in designing and delivering trusted technology products in a secure, stable, and scalable manner. Your responsibilities will involve executing software solutions, troubleshooting technical issues, and creating secure production code that aligns with design constraints. Additionally, you will be involved in analyzing and synthesizing data sets to drive continuous improvement in software applications. **Key Responsibilities:** - Execute software solutions, design, development, and technical troubleshooting with innovative approaches - Create secure and high-quality production code, maintaining algorithms for synchronous operation - Produce architecture and design artifacts for complex applications, ensuring design constraints are met - Analyze and synthesize data sets to develop visualizations and reporting for software applications enhancement - Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture - Contribute to software engineering communities of practice and events exploring new technologies - Foster a team culture of diversity, opportunity, inclusion, and respect **Qualifications Required:** - Formal training or certification in AI/ML concepts with a minimum of 3 years of applied experience - Hands-on experience in programming languages, especially Python - Ability to apply data science and machine learning techniques to solve business challenges - Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs) - Expertise in deep learning frameworks like PyTorch or TensorFlow, and advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search) - Capable of completing tasks independently with minimal supervision, demonstrating attention to detail and follow-through - Excellent communication skills, team player, and proven leadership in collaborating with engineers, product managers, and ML practitioners *Note: Preferred qualifications, capabilities, and skills are not provided in the job description.*,

As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions. Your responsibilities will include establishing and promoting a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates. You will lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization. Additionally, you will create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques, and gain experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines. You will advise on the strategy and development of multiple products, applications, and technologies, serving as a lead advisor on the technical feasibility and business need for AIML use cases. Furthermore, you will liaise with firm-wide AI ML stakeholders, translating highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well-informed decisions about technology advancements. You will also influence across business, product, and technology teams and successfully manage senior stakeholder relationships, championing the firm's culture of diversity, opportunity, inclusion, and respect. To be successful in this role, you must have formal training or certification on Machine Learning concepts and at least 10 years of applied experience, along with 5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise. An MS and/or PhD in Computer Science, Machine Learning, or a related field is required, as well as at least 10 years of experience in one of the programming languages like Python, Java, C/C++, etc., with intermediate Python skills being a must. You should have a solid understanding of using ML techniques, especially in Natural Language Processing (NLP) and Large Language Models (LLMs), hands-on experience with machine learning and deep learning methods, and the ability to work on system design from ideation through completion with limited supervision. Practical cloud-native experience such as AWS is necessary, along with good communication skills, a passion for detail and follow-through, and the ability to work effectively with engineers, product managers, and other ML practitioners. Preferred qualifications for this role include experience with Ray, MLFlow, and/or other distributed training frameworks, in-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies, advanced knowledge in Reinforcement Learning or Meta Learning, and a 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., is also desirable.,