Sales Executive

Job Description:

Experience: 7 -15 Years

Job Description :

Key responsibilities

As an GEN AI Expert [Min 4 + years of relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities.

• Model & Agent Design: Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity,   latency, failover and functionality.
• Hands-on Coding: Write,test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming.
• Build high quality multi-modal & multi-agents applications/frameworks
• Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents
• Performance Monitoring: Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness.
• Research Implementation:Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry   research to apply cutting-edge methodologies and techniques.
• Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and   system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
• Innovation and Research:Stay updated with the latest advancements in AI agents technologies,experimenting with new techniques and tools to enhance agent capabilities and performance.
• Continuous Learning: Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal).
• Clear understanding of tool usage and structured outputs in agents
• Clear understanding of speculative decoding and AST-Code RAG
• Clear understanding of Streaming and Sync/Async processing
• Clear understanding of embedding models and their limitations

Tech stack required:

Programming languages: Python

Public Cloud: Azure

Frameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool.

Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production.

Skills And Qualifications 

• 2-3 years of hands-on experience in back-end development with Node.js. ● Knowledge of Node.js frameworks 
• Good understanding of server-side templating languages 
• Understanding of code versioning tools, such as Git ● Have worked in any of the cloud based platform AWS, GCP, Docker, Kubernetes. 

• Would be responsible for end to end loan processing, from initial receipt of loan application to credit approval stage within TAT parameters.

• Reviewing the loan application.
• Reviewing the credit application
• Credit underwriting 
• KYC verfication.

· Creating Sales lead

· Customer visit to the scale

· Converting lead to prospects/order.

· Meeting customers and providing necessary product information to all the stakeholders

· Proposal and customized solution to be shared with a customer

· Maintain relationship with customer

• Must worked on Spring Boot as an individual contributor.
• Develop a distributed and scalable solution for high-performance financial solutions
• Design, code, test, debug, and document programs as well as support activities for the corporate systems architecture
• Develop tools for performance tracking, monitoring, and reporting on the suite of server-side applications
• Perform and manage stages of the SLDC and participate in the systems review with Project Lead/Manager
• Should have knowledge on Cloud applications preferably on AWS
• Devops with Jenkins, Shellscripting
• Must have experience / knowledge in Cluster Management Frameworks , Spark, Kafka,
• Elastic Search, Docker and database, build-and-test (preferred).
• Demonstrate skills in problem-solving and decision-making
• Experience with Test Driven Development using TestNG/Junit testing framework

• Minimum of 3+ years of experience with server-side core java development
• Hand-on experience in Micro Services with Spring Boot and use of tools like Sonar Qube, Jenkins, AWS.
• Test methodologies and testing tools e.g. JUnit.
• Shell scripting to handle basic scripting
• Able to work independently and produce high-quality solutions.
• Excellent team player and strong interpersonal skills.
• Participating in code reviews
• Knowledge in cloud and DevOps will be plus

1. Application Developer -API

• Experience: 2-5 years
• Experience in Design, build and configure applications to meet business process and application requirements using AZURE API development.
• Design, Build, Test and deploy the APIs using Microsoft Azure.
• Needs to support and handle the production APIs.
• Should have knowledge in Design Patterns.

Securities:

1. Should have Knowledge in T24
2. Should be having good knowledge in Investment Products like, Equities, Bonds, Derivatives, Structured Products etc.
3. Also should be well versed with processes like Corporate Actions, Mandate Management, Portfolios, Positions etc

Finance:

1. Should have FI module knowledge of T24
2. Should be having a very good knowledge on processes like IFRS, US GAAP, Year End Process, Accrual Bookings, Yearend process etc.
3. Should have good knowledge in configuring Reports, Products etc.

TPH:

1. Should have good knowledge on various payment systems like CHAPS, BACs etc
2. Should have good knowledge on T24 configurations for TPH
3. Should be well versed with the T24 TPH integration with other T24 modules
4. Should be well versed with various SWIFT messages
5. Should have development experience (for Developer profiles)

Tax & Regulatory Compliance

1. Should have basic knowledge of T24 Modules
2. Should have worked in European Regulatory space with Investment perspective
3. Should have good knowledge of WHT, Corporate tax etc with respect to Investment portfolios