Senior Manager of Software Engineering AI/ML Solutions Chase- Candidate Experience page

5.0 - 9.0 years

0 Lacs

hyderabad, telangana

On-site

When you mentor and advise multiple technical teams and drive financial technologies forward, you face a significant challenge with a substantial impact. This role of a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking- Data Technology places you in a leadership position. Your responsibilities include providing technical coaching and advice to multiple technical teams, anticipating the needs and potential dependencies of other functions within the firm. Your expertise in the field enables you to influence budget and technical considerations to enhance operational efficiencies and functionalities. As the Senior Manager of Software Engineering, you will: Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers handling basic to moderately complex tasks. Be accountable for decisions affecting team resources, budget, tactical operations, execution, and implementation of processes and procedures. Ensure successful collaboration across teams and stakeholders, identifying and mitigating issues, and escalating them as necessary. Offer input to leadership on budget, approach, and technical considerations to enhance operational efficiencies and functionality for the team. Create a culture of diversity, equity, inclusion, and respect for team members, giving priority to diverse representation. Enable the Gen AI platform and implement the Gen AI Use cases, LLM fine-tuning, and multi-agent orchestration. Manage an AIML Engineering scrum team comprising ML engineers, Senior ML engineers, and lead ML engineer. Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts with over 5 years of applied experience. Extensive practical experience with Python and AWS cloud services, including EKS, EMR, ECS, and DynamoDB. Experience in DataBricks ML lifecycle development. Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance. Demonstrated prior experience in leading complex projects, encompassing system design, testing, and ensuring operational stability. Expertise in computer science, computer engineering, mathematics, or a related technical field. Understanding of large language model (LLM) approaches, such as Retrieval-Augmented Generation (RAG). Preferred qualifications, capabilities, and skills: Real-time model serving experience with Seldon, Ray, or AWS SM. Experience in agent-based model.,

Posted 1 day ago

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Senior Manager of Software Engineering AI/ML Solutions JPMorganChase

5.0 - 9.0 years

0 Lacs

hyderabad, telangana

On-site

When you mentor and advise multiple technical teams and advance financial technologies, you face a significant challenge with a profound impact. Your innate abilities align perfectly with this role. As a Senior Manager of Software Engineering at JPMorgan Chase in the Consumer and Community Banking-Data Technology division, you play a crucial leadership position. Your responsibilities include providing technical guidance and coaching to multiple teams while anticipating the needs and dependencies of various functions within the firm. Your expertise influences budget decisions and technical considerations to enhance operational efficiencies and functionalities. You will: - Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers handling basic to moderately complex tasks. - Take accountability for decisions affecting the team's resources, budget, tactical operations, and the execution of processes. - Ensure successful collaboration among teams and stakeholders, identifying and addressing issues while escalating them when necessary. - Offer input to leadership on budget, approach, and technical considerations to enhance operational efficiencies and team functionality. - Foster a culture of diversity, equity, inclusion, and respect within the team, emphasizing diverse representation. - Enable the Gen AI platform and implement Gen AI Use cases, LLM fine-tuning, and multi-agent orchestration. - Manage an AIML Engineering scrum team consisting of ML engineers, Senior ML engineers, and lead ML engineers. Required qualifications, capabilities, and skills: - Formal training or certification in software engineering concepts and a minimum of 5 years of applied experience. - Extensive practical experience with Python and AWS cloud services, including EKS, EMR, ECS, and DynamoDB. - Proficiency in DataBricks ML lifecycle development. - Advanced knowledge in software engineering, AI/ML, MLOps, and data governance. - Demonstrated experience leading complex projects, system design, testing, and ensuring operational stability. - Expertise in computer science, computer engineering, mathematics, or related technical fields. - Understanding of large language model (LLM) approaches like Retrieval-Augmented Generation (RAG). Preferred qualifications, capabilities, and skills: - Real-time model serving experience with Seldon, Ray, or AWS SM. - Experience in agent-based model development. This role offers an exciting opportunity to lead and influence cutting-edge technology projects within a dynamic and innovative environment.,

Posted 1 day ago

Apply

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