Applied Ai Ml Director jobs at Jpmorgan in India, Bengaluru

As a Technology Support III team member in Commercial & Investment Bank - Payments Technology team, you will ensure the operational stability, availability, and performance of our production application flows. Encourage a culture of continuous improvement as you troubleshoot, maintain, identify, escalate, and resolve production service interruptions for all internally and externally developed systems, leading to a seamless user experience.

Job responsibilities

• Provides end-to-end application or infrastructure service delivery to enable successful business operations of the firm
• Supports the day-to-day maintenance of the firm’s systems to ensure operational stability and availability
• Assist in the monitoring of production environments for anomalies and address issues utilizing standard observability tools
• Identify issues for escalation and communication, and provide solutions to the business and technology stakeholders
• Analyze complex situations and trends to anticipate and solve incident, problem, and change management in support of full stack technology systems, applications, or infrastructure

Required qualifications, capabilities, and skills

• 3+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services
• Demonstrated knowledge of applications or infrastructure in a large-scale technology environment both on premises and public cloud
• Experience in observability and monitoring tools and techniques
• Exposure to processes in scope of the Information Technology Infrastructure Library (ITIL) framework
• Knowledge of one or more infrastructure components such as networking, cloud services, orchestration tools, containerization, compute and storage systems
• Experience in service-level changes to a system and troubleshooting components
• Experience in a production support environment
• Experience with creating Alerts, Dashboard monitoring with Splunk, Dynatrace, Datadog and Grafana monitoring tools.
• Working knowledge of the Unix/Linux environment
• Solid working background in AWS

Preferred qualifications, capabilities, and skills

• Experience with one or more general purpose programming languages and/or automation scripting
• Working understanding of public cloud

Job Description

Job Responsibilities
• Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
• Develop and maintain machine learning models to solve complex business problems
• Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions
• Analyse large, heterogenous datasets to extract actionable insights and inform decision-making
• Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems
• Identify the right state of the art solutions for the bank’s objectives and implement them as clean, production-ready code
• Communicate findings and recommendations through clear and concise reports and presentations
• Required qualifications, capabilities and skills
• Proficiency in Python and SQL and familiarity with good software engineering practices
• Excellent written and verbal communication
• Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn
• Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus
• Collaborative, humble and enthusiastic attitude

Preferred qualifications, capabilities and skills
• Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc
• Experience in deep neural networks and familiarity with the latest developments in related fields
• Experience in LLM model finetuning and continuous learning techniques
Experience in prompt engineering techniques and state-of-the-art LLM architectures

Job Responsibilities:

• Lead large software development teams, fostering a culture of innovation, collaboration, and excellence.
• Provide strategic direction and mentorship to ensure alignment with organizational goals.
• Oversee the planning, execution, and delivery of complex software projects, ensuring they meet business requirements, timelines, and budget constraints.
• Implement best practices in project management and software development methodologies.
• Utilize extensive technical expertise in Python to develop scalable and robust software solutions.
• Ensure optimal design and implementation of data architectures.
• Leverage experience with JPMorgan's in-house risk management system, Athena, and demonstrate a comprehensive understanding of the trade lifecycle, risk management, and financial products, especially in commodities.
• Work with cross-functional teams to ensure seamless integration and functionality of software solutions.
• Promote innovation by staying updated on emerging technologies and industry trends.
• Champion Agile methodologies to enhance project delivery, team collaboration, and continuous improvement.
• Facilitate Agile ceremonies and ensure adherence to Agile principles.

Required qualifications, capabilities and skills:

• Formal training or certification on large scale technology program concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Advanced programming skills in Python and proficiency in Python web services frameworks.
• Proficiency in React and TypeScript for building scalable web applications.
• Proven success in leading large or cross-functional teams and collaborating effectively with diverse stakeholders.
• Experience in influencing complex organizations and delivering value at scale.
• Strong understanding of trade lifecycle, risk management, and financial products in investment banking.
• Exceptional leadership, communication, and interpersonal skills.
• Extensive practical cloud-native experience.
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred qualifications, capabilities and skills:

• Experience working at code level.
• Familiarity with JPMorgan's Athena RMS is preferred.

Job Summary:

As a Client Operations Lead within the Wealth Management Client Operations team, you will partner with global business-facing teams to ensure compliance and meet day-to-day deliverables. You will identify opportunities for automation and service improvement, maximizing productivity and quality. Your leadership will drive team development and enhance client experiences.

Job Responsibilities:

• Partner with Middle and Front office teams for client onboarding.
• Drive results through leadership, communication, and influence.
• Function effectively in a high-volume, deadline-oriented environment.
• Manage KPIs to ensure quality and timeliness.
• Serve as an escalation point for Client Operations issues.
• Promote process improvement and share best practices.
• Support consistent hiring and performance management.
• Manage risk, identify issues, and escalate as needed.
• Assess process and system improvements, providing solutions.
• Create an effective control environment within the team and build partnerships with onshore leads through communication and governance.

Required Qualifications, Capabilities, and Skills

• 12+ years of experience in Financial Services or Operations.
• Proven leadership in strategic change management and process re-engineering.
• Experience managing across multiple locations.
• Strong relationship-building and influencing skills.
• Industry experience with understanding of standards and networking.
• Consultative approach, anticipating business partner needs.
• Critical thinking and proactive best practices.
• Motivated with advanced strategy and problem-solving skills.
• Commercial background with ability to transform operations.
• Knowledge of automation tools and AI/ML understanding.

Preferred Qualifications, Capabilities, and Skills:

• Client Operations experience in Investment Banking or Wealth Management.
• Experience in technology-driven projects.
• Strong industry networking and peer relationships.
• Ability to collaborate with Operations Leaders and key partners.
• Understanding of client needs and impact on relationships.
• Proven ability to transform operations across business areas.
• Advanced interpersonal and communication skills.

• Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
• Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
• Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.
• Collect and curate datasets for model training and evaluation.
• Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
• Monitor and improve model performance through feedback and active learning.
• Collaborate with technology teams to deploy and scale the developed models in production.
• Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
• Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.

• Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
• Minimum of 4 years of experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting.
• Advanced python programming skills with experience writing production quality code
• Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc.
• Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.
• Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
• Familiarity with latest development in deep learning frameworks.
• Ability to communicate complex concepts and results to both technical and business audiences.

• Prior experience of developing solutions for Financial domain
• Exposure to distributed model training, and deployment
• Familiarity with techniques for model explainability and self validation

As ain our Transformation and Analytics , you will spend each day defining, refining and delivering set goals for our firm.

Job Responsibilities

• Implement various exploratory data analysis techniques . Analyze for Trends and Patterns .
• Identify key data sources that can make business impacts.
• Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategic solutions.
• Design and develop datamining queries from large data sets (Both Structured and Unstructured) . Experienced in conversion of data into information.
• Proficient in Visualization and storytelling which can make an impact to the business .
• Employs scalable automation solutions for faster and robust data preparation
• Transform model outputs into formats that is understandable to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.

Required qualifications, capabilities and skills

• Self-starter, attention to details and results orientated, able to work under minimal guidance.
• Uses pertinent data and facts to identify and solve a range of problems within area of expertise.
• Having mandatory experience in Statistics along with Exploratory and regression data analysis
• Strong proficiency in LLM, concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based agents. Proficient in building evaluation metrics..
• Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and Claude models,
• Experience in model development using Machine Learning techniques [Data Analysis /Model Tuning].
• Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL)
• Bachelor’s Degree in, Data science, Computer Science, or Engineering. Different field of study, with significant professional experience in AI oriented Analytics and BI development, is acceptable.
• Experience Required: 8+ years in Data related projects and 3+ years in Data Science/AI
• Good communication and analytical skills

Preferred qualifications, capabilities and skills

• Exposure for complex ETL development is an added advantage.
• Knowledge on CI/CD pipelines.