Applied AI/ML Analyst at JPMorgan Chase
JPMorgan Chase · Bengaluru, Karnataka, India
- Salary: ₹18–₹30 LPA (estimated)
- Experience: 2+ years
📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company JPMorgan Chase 👥 Experience 2+ years 🎓 Qualification Relevant technical degree 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹18–₹30 LPA (estimated) 🏢 Industry Technology 🛠 Key Skills Software engineering Data engineering GenAI AI-agent workflows Cloud fundamentals Data governance Python Java PyTorch TensorFlow Applied AI/ML Analyst at JPMorgan Chase — Full Details & How to Apply JPMorgan Chase is seeking an Applied AI/ML Analyst in Bengaluru, Karnataka, India , where you can leverage cutting-edge technologies like GenAI and cloud fundamentals. This role offers a salary range of ₹18–₹30 LPA , making it a lucrative opportunity for fresh graduates. The demand for AI and ML expertise is surging in India, with companies like JPMorgan Chase investing heavily in these technologies to enhance financial services. As an Applied AI/ML Analyst , you will play a crucial role in developing AI features that improve user experience and operational efficiency, impacting millions of transactions daily. JPMorgan Chase , founded in 2000, is one of the largest financial institutions globally, employing over 250,000 people and serving millions of customers. The company is recognized for its commitment to innovation, making it an ideal environment for aspiring professionals in the tech sector. This position is perfect for 2023, 2024, 2025, 2026 graduates with a relevant technical degree and 2+ years experience . With a competitive salary of ₹18–₹30 LPA (estimated) , this role offers a robust career trajectory within a leading global firm. In this role, you will gain hands-on experience with essential skills such as software engineering , data engineering , GenAI , AI-agent workflows , cloud fundamentals , Python , Java , PyTorch , TensorFlow , AWS , and Kubernetes . This unique exposure will set you apart from competitors and open doors to advanced career opportunities in the tech industry. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Applied AI/ML Analyst at JPMorgan Chase is to leverage advanced AI technologies to enhance financial product offerings and improve customer interactions. Develop AI features using Python and TensorFlow to enhance predictive analytics capabilities for financial products, ensuring data-driven decision-making. Implement AI-agent workflows leveraging GenAI to automate customer service interactions, improving response times by up to 30% . Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions into existing platforms, enhancing overall system functionality. Monitor and evaluate AI model performance metrics to ensure compliance with data governance standards and improve accuracy in financial predictions. Take ownership of project timelines and deliverables, ensuring that AI features are deployed on schedule and meet quality benchmarks. Document technical specifications and workflows to facilitate knowledge sharing and compliance with internal auditing processes, promoting transparency. Engage with clients to understand their needs and troubleshoot AI-related issues, enhancing user satisfaction and trust in AI solutions. This role fosters an ownership culture, allowing analysts to directly impact the efficiency and effectiveness of AI applications within JPMorgan Chase . Required Skills & Technical Competencies The ideal candidate for the Applied AI/ML Analyst position must possess a robust technical skill set to effectively develop and implement AI solutions. Technical Skills Python — advanced — essential for developing AI models and automating workflows, requiring proficiency in libraries like Pandas and NumPy . Data engineering — intermediate — critical for managing and processing large datasets, ensuring data quality and accessibility for AI applications. GenAI — advanced — utilized for creating intelligent agents that can interact with users, requiring a solid understanding of machine learning principles. Cloud fundamentals — intermediate — knowledge of AWS is necessary for deploying AI solutions in a scalable environment, enhancing operational efficiency. Kubernetes — intermediate — used for container orchestration, ensuring that AI applications are easily deployable and manageable in cloud environments. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world applications. Eligibility Criteria This role is designed for candidates with a strong technical foundation and a keen interest in AI and machine learning applications in finance. Candidates must hold a relevant technical degree, such as Computer Science or Engineering , to ensure a strong foundation in software and data engineering. Eligible batches include 2023 to 2026 , allowing recent graduates and those nearing graduation to apply and start their careers. While 2+ years of experience is preferred, freshers with strong technical skills and internships may also be considered for this role. A minimum CGPA of 7.0 is expected to demonstrate academic proficiency relevant to the technical demands of the role. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's profile, especially for freshers. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant technical skills, projects, and experiences. Include links to your GitHub or portfolio to showcase your work. Pro tip: Tailor your application to highlight specific experiences with Python and TensorFlow that demonstrate your ability to contribute to AI projects effectively. Salary for Applied AI/ML Analyst at JPMorgan Chase 💰 Compensation ₹18–₹30 LPA (estimated) The advertised compensation for the Applied AI/ML Analyst role at JPMorgan Chase is ₹18–₹30 LPA (estimated) . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Applied AI/ML Analyst Upskilling with the right resources significantly enhances your chances of selection for the Applied AI/ML Analyst role at JPMorgan Chase . Recommended Courses & Resources Cloud fundamentals — Essential for understanding cloud-based AI solutions. Python — A key programming language for AI/ML development. Java — Useful for building scalable AI applications. TensorFlow — Crucial for developing machine learning models. KodNest — Provides hands-on experience with AI projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Customize it to reflect the specific skills and responsibilities outlined in the job description. ❌ Neglecting to showcase relevant projects — Highlight internships or projects that demonstrate your technical abilities in AI and ML. ❌ Overlooking quantifying achievements — Include metrics that show improvements in efficiency or accuracy in previous roles. ❌ Submitting a generic cover letter — Personalize it to explain why you are a good fit for JPMorgan Chase . ❌ Not preparing for technical interviews — Practice coding problems or AI-related scenarios relevant to the role. ❌ Ignoring the significance of soft skills — Emphasize communication and teamwork abilities, crucial for collaboration. Before You Apply — Checklist ✅ Research JPMorgan Chase 's recent technological advancements and how they relate to the role before applying. ✅ Update your resume to reflect relevant skills and experiences aligned with the job description. ✅ Prepare a tailored cover letter that highlights your interest in AI and your fit for the company culture. ✅ Gather any necessary documents, such as transcripts or certifications, to support your application. ✅ Practice common interview questions related to AI/ML and technical skills to prepare for the interview process. ✅ Ensure your LinkedIn profile is up-to-date and reflects your resume for consistency. ✅ Follow JPMorgan Chase on social media to stay informed about company news and updates. ✅ Set reminders for application deadlines and follow up if you haven't heard back within a reasonable timeframe. Resume Tailoring & ATS Keywords for Applied AI/ML Analyst Optimizing your resume for ATS is crucial for standing out in the application process for the Applied AI/ML Analyst role. ATS Keywords to Include Applied AI Machine Learning Data Engineering GenAI Python AWS Kubernetes AI-agent workflows Cloud fundamentals Data governance Software engineering TensorFlow PyTorch Resume Tips for This Role Highlight your technical projects related to AI/ML, especially those using Python or TensorFlow , to demonstrate practical experience. Emphasize teamwork and collaboration experiences, particularly in cross-functional settings, to align with the company's culture. Include links to your GitHub or portfolio showcasing relevant projects to provide tangible evidence of your skills. Optimize your resume for ATS by including keywords from the job description, ensuring it passes initial screenings. Avoid including unrelated work experiences or generic skills that do not pertain to the role of an Applied AI/ML Analyst . Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated work experiences or generic skills that do not pertain to the role. How to Apply for Applied AI/ML Analyst at JPMorgan Chase Apply Now — JPMorgan Chase Visit the application portal and create an account to start your application. Upload your resume, ensuring it is tailored to the job description and highlights relevant skills. Fill out the application form accurately, providing all requested information and details. After submission, monitor your email for updates regarding your application status. Use the application portal to track the progress of your application and any upcoming interviews. Applications reviewed on a rolling basis — early submission recommended. Apply Now — JPMorgan Chase NexisGrow.com does not charge any fees for job applications. JPMorgan Chase JPMorgan Chase was formed through the merger of several institutions, including J.P. Morgan & Co. and Chase Manhattan Corporation , and is headquartered in New York City . With a significant global presence, the company operates in over 100 markets and employs more than 250,000 individuals worldwide, showcasing its extensive reach in the financial services sector. As a leader in investment banking, JPMorgan Chase offers a wide range of services, including asset management , commercial banking , and financial transaction processing . The firm leverages advanced technologies such as artificial intelligence and blockchain to enhance client services and operational efficiency, positioning itself at the forefront of financial innovation. JPMorgan Chase has cultivated an inclusive company culture, earning a Glassdoor rating of 4.0 and being recognized as one of the 'World's Most Admired Companies' by Fortune. The company actively promotes employee development through structured mentorship programs and diversity initiatives, fostering a supportive environment for its workforce. Recently, JPMorgan Chase announced a substantial $12 billion investment in technology and innovation, underscoring its commitment to enhancing its technological capabilities. This funding aims to accelerate the development of cutting-edge solutions that will improve client experiences and streamline operations across its global network. For freshers looking to launch a career in technology, JPMorgan Chase offers a robust onboarding process and extensive training programs. The company's focus on AI and machine learning provides an ideal platform for new talent to develop essential skills and gain valuable experience in a rapidly evolving industry. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 jpmc.fa.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Applied AI/ML Analyst at JPMorgan Chase? Eligibility Tap to expand + Answer Candidates with Relevant technical degree and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Software engineering, Data engineering, GenAI, AI-agent workflows, Cloud fundamentals. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹18–₹30 LPA (estimated). Final offer depends on skills, experience, and interview performance. ? What is the interview process at JPMorgan Chase? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Software engineering, Data engineering, GenAI, AI-agent workflows, Cloud fundamentals. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Applied AI/ML Analyst interview? Preparation Tap to expand + Answer (1) Core concepts of Software engineering, Data engineering, GenAI, AI-agent workflows, Cloud fundamentals, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) JPMorgan Chase research, (5) Clear communication. ? What is the work culture like at JPMorgan Chase? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at JPMorgan Chase Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com