Big Data Engineer

We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.

What will you need to be successful in this role?

Core Technical Skills

• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)

• Proven experience deploying production LLM applications with 1M+ tokens processed

• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling

• Production experience with RAG systems including hybrid search and re-ranking

• Deep understanding of embedding models and vector databases at scale

• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)

• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)

• Experience implementing multi-agent systems and orchestration

• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)

Advanced Capabilities

• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)

• Knowledge of knowledge graphs and graph-based RAG implementations

• Understanding of model hosting, inference optimization, and cost management

• Experience with MLOps pipelines, CI/CD for ML, and model versioning

• Ability to architect end-to-end ML solutions from data ingestion to deployment

• Experience with data pipelines and ETL for ML workflows

• Proficiency in containerization and orchestration (Docker, Kubernetes)

Client Engagement & Delivery

• Experience presenting technical solutions to clients and stakeholders

• Ability to translate business requirements into technical ML solutions

• Track record of delivering client POCs and production implementations

• Experience creating technical documentation and implementation guides

Good to have

• Experience hosting private LLMs (7B-13B models on-premises or cloud)

• Knowledge of graph databases (Neo4j) and graph neural networks

• Experience with streaming and real-time ML inference

• Published research papers or contributions to open-source ML projects

• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning

• AWS/Azure ML certifications or working towards them

Competencies

• Excellent verbal and written communication skills

• Strong mentoring ability for junior ML engineers

• Self-driven with ability to work independently on complex problems

• Excellent problem-solving skills with systematic debugging approach

• Proactive ownership of projects from ideation to deployment

• Ability to stay current with rapidly evolving AI/ML landscape

• Excellent academic record – B.E./B.Tech, MCA,

Company name: JPMorgan (JPMC)

Job Category:
 Predictive Science

Location: Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru

Job Schedule: 
Full time

JOB DESCRIPTION

JPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity. 

As a senior ML and GenAI engineer, you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure. 

You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. 

 Job responsibilities 

• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions 

• Close partnership with peers in a geographically dispersed team and colleagues across organizational lines 

• Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities 

• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services. 

• Deploy solutions into public cloud infrastructure 

• Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact 

 Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• MS in Computer Science, Statistics, Mathematics or Machine Learning. 

• Development experience, along with hands-on Machine Learning Engineering 

• Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions 

• Solid Python programming skills required; with other high-performance language such as Go a big plus 

• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes. 

• Experience in using LLMs (OpenAI, Claude or other models) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus 

• Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis) 

• Expertise in application, data, and infrastructure architecture disciplines 

• Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. 

• Excellent communication skills and ability to communicate with senior technical and business partners 

 Preferred qualifications, capabilities, and skills

• Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. 

• Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn 

• Understanding of finance or wealth management businesses is an added advantage 

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

📢 Job Description: HR Associate Intern (Recruitment & HR Operations)

Location: Bangalore

🔹 Role Overview

We are seeking a dynamic and proactive HR Associate Intern who can manage end-to-end recruitment along with core HR operations. This role requires a hands-on individual capable of balancing talent acquisition with employee lifecycle management.

🔹 Key Responsibilities

1. Talent Acquisition

• Manage the complete recruitment lifecycle (sourcing to onboarding)
• Understand hiring requirements and draft job descriptions
• Source candidates through job portals, LinkedIn, referrals, and other channels
• Screen resumes and conduct initial HR interviews
• Coordinate interviews with hiring managers
• Handle offer rollouts, negotiation, and candidate engagement
• Ensure a seamless onboarding experience

2. HR Operations

• Manage onboarding processes and employee documentation
• Maintain employee records and HR databases
• Track attendance, leave, and assist with payroll coordination
• Draft HR policies, offer letters, and internal communications
• Ensure compliance with company policies and labor laws
• Address employee queries and manage grievances
• Support performance management processes

🔹 Required Skills

• Strong understanding of end-to-end recruitment
• Knowledge of HR operations and employee lifecycle
• Excellent communication and interpersonal skills
• Ability to multitask and manage multiple roles
• Familiarity with job portals and sourcing techniques
• Basic knowledge of labor laws and HR compliance

🔹 Good to Have

• Experience in a startup or fast-paced environment
• Exposure to HRMS tools
• Experience in employer branding or employee engagement initiatives

🔹 Qualification

MBA / PGDM in HR or a related field

🌟 Why Join Us

• Gain hands-on experience across recruitment and HR operations
• Work in a fast-paced, growth-oriented environment
• Opportunity to take ownership and build core HR skills

You will be working hands-on on a complex and compound product that has the potential to be used by millions of sales and marketing people around the world. Your contribution to delivering an excellent product platform that:

• enables quick iteration
• supports product customization
• and handles scale

What do we expect you to have?

• 2+ years of experience in backend engineering
• An intent to learn and an urge to build a product by learning different technologies
• Interest in writing complex, scalable, and maintainable backend applications
• Tech stack requirements:

Must haves

• Experience in building application server in Java (Spring / Spring boot) / NodeJS / Golang / Python
• Experience in using SQL databases and designing schemas based on application need
• Experience with container services and runtimes (docker / docker-compose / k8s)
• Experience with cloud paas (AWS / GCP / Azure cloud)
• Experience and familiarity with microservices’ concepts
• Experience with bash scripting

Good to have (Preferred)

• Preferred experience with org wide message queue (rabbitmq / aws sqs)
• Preferred experience with task orchestration services (apache airflow / aws step function)
• Preferred experience with infra as code (or system configuration) tools (terraform / chef / ansible)
• Preferred experience with build essential tools (make / makefile)
• Preferred experience with monitoring and tracing systems for performance / system / application monitoring (grafana + loki + prometheus / aws cloudwatch)

What will you learn?

• Building highly available, complex, compound, performant systems of microservices platform that acts as an API layer
• Industry-standard state-of-the-art tools + methodologies + frameworks + infra for building a product.
• Fable is not a trivial CRUD app. It requires a lot of consideration and care for building the API layer as the product is highly customizable per user.
• How different functions (sales, marketing, product, engineering) in a high-velocity product company work in synergy to deliver an iterative product in real life.

Who would you be working with?

• You would be directly working with the co-founder & CTO who has built multiple companies before and has built large teams in large-scale companies like ThoughtSpot, Unacademy, etc.

Position details

• Fully remote.
• 5 days/week (all public and government holidays will be non-working days).
• No specific work hours (we will sync over zoom over the course of the day).

Roles & Responsibilities:

 3+ years of experience developing mobile apps.  Experiencing fine tuning applications to improve performance and memory utilization.  Thorough understanding of iOS development for iPhone, iPod Touch, and iPad devices.  Experience of design and development of iOS applications, preferably in an Enterprise setting  Proficient with Xcode, Objective-C, and Cocoa Touch  Experience with iOS frameworks such as Core Data, SQLite, MapKit, UIKit, Core Location, etc.  String knowledge in Restful, SOAP APIs to connect iOS applications to back-end services  Strong knowledge of Storyboard, Autolayout, ARC.  Experience of design and development of iOS applications, preferably in an Enterprise setting  Proficient with Xcode, Objective-C, and Cocoa Touch.  experience with iOS frameworks such as Core Data, SQLite, MapKit, UIKit, Core Location, etc  Experience with offline storage, threading, multitasking, and performance and memory tuning with  tools  (such as Instruments).  Understanding of Apple’s design principles and interface guidelines  Knowledge of low-level C-based libraries is preferred  Knowledge of Graph APIs is preferred.  Familiarity with cloud message APIs, Local and push notifications  Proficient understanding of code versioning tools (such as Git, TFS or SVN)  Familiarity with continuous integration.

1. Building up and leading the Testing Team to the success of project
2. Defining the scope of testing within the context of each release / delivery
3. Deploying and managing resources for testing
4. Applying the appropriate test measurements and metrics in the product and the Testing Team
5. Planning, deploying and managing the testing effort for any given engagement.

Role: Senior Software Developer

Experience: 3-6 years of experience.

Work Location: Bangalore

Job responsibility The Software Developer contributes, to create a customer’s solution, in the building phase of the software development life cycle. The Software Engineer is responsible for performing the detailed design of application and technical architecture components and classes in accordance to the specification provided by the Solution Architect, for coding of SW components, and for the early testing phases (component testing), and system testing support

Requirement:
Must Have skills: Java/J2ee, SQL, Web services, Spring Boot, Elastic search

Job description
- Hands on experience in Java, Python, scripting
- Design, implement, deploy and support web-based applications and web services using server technologies stacks that include Java, MySQL
- Experience in Java/J2EE using web frameworks Play or Spring boot, REST API Development and ORM (JPA, Hibernate eBean etc.)
- In depth knowledge of Design patterns and Data structures
- Databases - MySQL, Oracle, SQL
- Solid understanding of concepts like Web Services, SOA, REST APIs, Message Queue, Caching, Distributed/Scalable Architecture
- Secure application development best practices, such as OWASP
- Document and maintain all design documents and involve in review process.
- Experienced problem solving and debugging skills.
- Good verbal and written communication and interpersonal skills
- Experience in Agile methodology is added advantage
- Knowledge of Cloud Knowledge /Azure
- Must know about Unix knowledge
- experience in Elastic search