Senior Lead Software Engineer - ML- Data Platform
Senior Lead Software Engineer - ML- Data Platform
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$ 171000 - 260000
1 Vacancy
Job Description
Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver topnotch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank Digital & Platform Services Team you are an integral part of an agile team that works to enhance build and deliver trusted marketleading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problemsolving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Develops and implement a comprehensive strategy for the adoption and integration of Generative AI technologies within the Payments Data Platform.
- Designs and oversees the implementation of AIdriven solutions including chatbots and agentic architectures to enhance customer experience and operational efficiency.
- Provides leadership and mentorship to the existing team of ML Engineers fostering a culture of innovation and continuous learning.
- Works closely with data engineers software developers and business stakeholders to ensure alignment of AI initiatives with business goals.
- Leads the development and deployment of machine learning models for analytics reporting and predictive insights leveraging Databricks and other tools.
- Establishes and enforces best practices for ML model development testing and deployment ensuring highquality and reliable outputs.
- Keeps abreast of the latest advancements in AI and ML technologies and assess their potential impact on the organization.
- Collaborates with data engineering teams to optimize data pipelines and ensure efficient data processing for ML workloads.
- Assesses and recommends AI tools and technologies that can enhance the capabilities of the Payments Data Platform.
- Creates and implements training programs to upskill team members and promote the adoption of AI technologies across the organization.
- Regularly reports on the progress and impact of AI initiatives to senior management providing insights and recommendations for future strategies.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Proven experience in designing developing and deploying machine learning models with a strong understanding of both traditional ML and Generative AI techniques.
- Expertise in programming languages such as Python Java and experience with ML frameworks like TensorFlow PyTorch and Scikitlearn.
- Familiarity with big data processing tools and platforms such as Apache Flink and Databricks for handling largescale data analytics and ML workloads.
- Demonstrated ability to lead and mentor a team of engineers fostering a collaborative and innovative work environment.
- Strong strategic thinking and problemsolving skills with the ability to develop and implement AI strategies that align with business objectives.
- Excellent verbal and written communication skills with the ability to convey complex technical concepts to nontechnical stakeholders.
- Experience in managing and delivering complex AI projects on time and within budget with a focus on quality and impact.
- Uptodate knowledge of the latest trends and advancements in AI and ML with the ability to assess their relevance and applicability to the organization.
- Strong interpersonal skills and the ability to work effectively with crossfunctional teams including data engineers software developers and business leaders.
- Proactive approach to identifying and solving technical challenges with a focus on continuous improvement and innovation.
Preferred qualifications capabilities and skills
- Prior experience working in the financial services industry particularly in payments or banking with an understanding of industryspecific challenges and opportunities.
- Handson experience in implementing Generative AI solutions such as chatbots or agentic architectures in a production environment.
- Proficiency in advanced data analytics and statistical methods with the ability to derive actionable insights from complex datasets.
- Certifications in AI or ML such as AWS Certified Machine Learning Specialty Google Professional Machine Learning Engineer or similar credentials demonstrating a commitment to professional development in the field.
Required Experience:
Senior IC
Employment Type
Full-Time
