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JPMorganChase

Senior Lead Software Engineer - Data Science, AI/ML

Job Posted 13 Days Ago Posted 13 Days Ago
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Hybrid
Mumbai, Maharashtra
Senior level
Hybrid
Mumbai, Maharashtra
Senior level
Lead an agile team focusing on AI/ML solutions using AWS. Responsibilities include developing code, mentoring, and driving technological innovations.
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Job Description
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Securities Services Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
  • Lead and mentor a team of data engineers and manage delivery using agile methodologies
  • Design, develop and maintain scalable data pipelines, transform data to a LDM supporting data analytics and business intelligence initiatives
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Involves designing, developing, and deploying AI/ML solutions on AWS to solve complex business problems and drive innovation.
  • Collaborate with cross-functional teams to understand business requirements and formulate technical solutions.
  • Manage business stakeholders with product roadmap and delivery

Required qualifications, capabilities, and skills
  • Experience in data platforms like Databricks, Snowflake, redshift etc.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Proficiency in programming languages such as Enterprise Java or Python,
  • Experience in technologies like Spark and Kafka
  • Experience in using machine learning frameworks like TensorFlow or PyTorch.
  • Design and implement AI/ML models and algorithms to address business challenges and opportunities.
  • Develop and deploy scalable machine learning solutions.
  • Optimize and fine-tune machine learning models for performance and scalability and ensure the security, reliability, and efficiency of AI/ML solutions deployed on AWS.
  • Conduct research and experiments to explore new AI/ML techniques and methodologies.
  • Good Understanding of data privacy, security best practices, and compliance requirements to ensure safe and ethical use of LLMs.

Top Skills

AWS
Ec2
Enterprise Java
Lambda
Python
PyTorch
Sagemaker
TensorFlow

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