Lead Software Engineer VP and Senior Associate
Lead Software Engineer VP and Senior Associate
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Job Description
Join our Applied AI/ML team to advance AI in financial services and optimise business decisions.
As an Applied AI ML Scientist/Engineer in the Engineering Space at JPMorganChase youll be at the forefront of AI innovation combining cutting-edge techniques with unique data assets to optimise business decisions and automate processes. This role offers a unique blend of artificial intelligence and software engineering allowing you to advance engineering processes and build impactful products.
In this role you will leverage the latest research in Large Language Models Natural Language Processing and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with engineering and testing teams to design scalable Machine Learning services and communicate AI capabilities to diverse audiences.
Job Responsibilities
- Development of advanced machine learning models to address complex operational challenges.
- Evaluating and communicating the impact brought by proposed solutions.
- Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes.
- Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions.
- Analyse large datasets to extract actionable insights and support data-driven decision-making at a strategic level.
- Ensure the scalability reliability and security of AI/ML solutions in a production environment with a focus on long-term sustainability.
- Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations.
- Mentor and guide junior team members fostering a culture of innovation and continuous learning.
Required Qualifications Capabilities And Skills
- Advanced degree in a STEM field (Degree in Computer Science or Software Engineering) with experience in AI/ML.
- Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing.
- Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment with expertise in deploying models on AWS platforms.
- Familiarity with MLOps practices covering the full cycle from design experimentation deployment to monitoring and maintenance of machine learning models.
- Familiarity with AI/ML frameworks such as OpenAI SDK Langchain TensorFlow PyTorch PyTorch Lightning or Scikit-learn.
- Experience with generative AI models mainly as cloud service APIs (e.g. OpenAI).
- Experience with integrating user feedback to establish self-improving AI applications.
- Solid understanding of data preprocessing feature engineering and model evaluation techniques.
- Familiarity with cloud platforms (AWS).
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
Preferred Qualifications Capabilities And Skills
- Experience in software engineering practices.
- Experience in developing AI solutions using agentic frameworks.
- Experience fine-tuning LLMs with advanced techniques.
- Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering.
- Demonstrated ability to design and implement AI application architecture.
- Significant experience in bringing AI applications to production with a focus on strategic impact and innovation.
#ICBCareer #ICBEngineering
Required Experience:
Exec
Employment Type
Full-Time
