Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.
Compensation
This position is based at our Bengaluru office.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Lead and mentor team members to enhance their technical skills and project contributions.
Coordinate with cross-functional teams to ensure seamless integration and delivery of software solutions.
Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the establishment and enforcement of development standards to maintain code quality and consistency.
Design, develop, and deploy machine learning and artificial intelligence solutions that drive business decision-making and operational excellence.
Responsibilities
Develop, validate, deploy, and monitor machine learning models that support forecasting, optimization, customer intelligence, operational decision-making, and business growth.
Design and implement advanced predictive models using supervised and unsupervised learning techniques.
Perform feature engineering, model selection, hyperparameter tuning, and performance evaluation.
Establish model governance processes, including documentation, explainability, fairness assessments, and monitoring.
Translate business challenges into analytical frameworks and data-driven solutions.
Build and deploy machine learning models for dexterity-driven physical AI robots, collaborating with researchers and engineers to integrate ML into production systems.
Responsibilities
Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.
Implement scalable and efficient software solutions to integrate machine learning models into production systems.
Optimize and fine-tune machine learning algorithms for improved performance and accuracy.
Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.
Provide technical guidance and mentorship to junior team members.
Requirements
Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
Lead privacy-centric engineering initiatives within JPMorgan Chase’s Chief Data & Analytics Office, managing the Data Privacy & Governance roadmap and driving technical direction for privacy impact assessments and technology integrations.
Responsibilities
Manage the Data Privacy & Governance roadmap
Lead firmwide privacy initiatives
Drive technical direction for Privacy Impact Assessment
Structure roadmap delivery and operating model
Oversee engineering projects, risks, issues, and dependencies
Requirements
Nice to have: Complex data governance
Nice to have: Security and compliance requirements
We are seeking a skilled Analytics Engineer to build and maintain robust data systems that enable high-impact quantitative analysis and business decision-making. This role combines strong software engineering practices with expertise in large-scale data processing and advanced analytical methods to deliver reliable, scalable solutions across the organization.
Compensation
$140,000 - $225,000 USD
Responsibilities
Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, and/or Flink
Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement
Build and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows
Collaborate with product engineering, product, and operations teams to translate business requirements into production-grade data systems and insights
Conduct A/B tests, causal analysis, and performance evaluations to drive measurable improvements in key metrics
Design, implement, and optimize sophisticated machine learning models in Banking domain for Credit Risk modeling.
Responsibilities
Design, implement, and optimize sophisticated machine learning models in Banking domain for Credit Risk modeling.
Enable us to uncover meaningful patterns, trends, and insights from data, ultimately solving analytical use cases.
Utilize sophisticated algorithms and methodologies to refine and improve the performance of credit risk/ marketing mix models, enabling accurate predictions and actionable outputs for analytical use cases.
Stay updated on the latest machine learning advancements, actively identifying and integrating cutting-edge techniques to continuously improve our models and address diverse analytical use cases.
Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles.
Lead complex technical efforts in autonomous and semi-autonomous vehicle systems, developing machine learning algorithms, decision support systems, and advanced architectures for transportation safety and resilience.
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