SAP CO

• Act as a bridge between business users and technical teams, translating business requirements into LOANIQ solution designs.
• Gather, analyze, and document detailed functional requirements for new features, system enhancements, and regulatory changes.
• Work closely with development teams to validate LOANIQ configurations, test workflows, and review technical designs.
• Lead or support UAT, coordinate with QA teams, and ensure sign-off from business stakeholders.
• Conduct gap analysis and suggest best practices using LOANIQ's capabilities to improve loan operations.
• Create detailed BRDs, FRDs, process flow diagrams, and user stories aligned with Agile/Scrum methodology.
• Support LOANIQ implementation, upgrades, and version migrations.
• Conduct training, prepare user guides, and provide post-go-live support.

Responsibilities

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
• Conduct research and stay informed about the latest developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks to support generative AI development.
• Participate in code reviews and contribute to maintaining high code quality standards.
• Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
• Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Primary Skills

• Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
• Experience in Agentic AI tools such as: LangGraph, Langchain, Autogen, Smolagents, Agentic RAG, Crew Al, ADK (Agent Development Kit), Agents, Gen Al Conversational Chatbot, MCP (model context protocol), ACP (Agent communication protocol), AZA (Agent-to-Agent), etc.
• Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
• Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
• Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
• Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.

Role Summary: Front-end Developer who would contribute towards building a highly flexible and scalable front-end by bringing deep core technology expertise.

Job Description:

- Ensure proper offline access using service workers and PWA

- Develop components which are SEO friendly

- Have experience in server-side rendering

- Drive evolution of application performance

- Ensure project scalability by having good project architecture

Skill Requirements:

- Good experience in HTML5, CSS3, JS 

- React

- React native

- Angular

- Redux exposure

- Have handled service workers and PWA caching and updates

- CSS pre-processors knowledge like sass

- Knowledge of webpack, parcel, grunt etc.

 -Knowledge of pre-processors like SASS/LESS, CSS-Modules.

- Architecting and automating the build process for production, using task runners or scripts (Gulp / Grunt)

-Have an eye for good UI/UX, Progressive Web Apps, Responsive Design

-Interested in writing code, actively experimenting along with learning new things.

Individual applying to the role should ideally have the following attributes

- 2+ years of experience

-Passionate about Frontend Development and continually follow the platform & innovations

-Strong and innovative approach to problem solving and finding solutions

-Interested in working on fast-paced

- Excellent communicator (written and verbal, formal and informal)

- Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution

- Ability to multi-task under pressure and work independently with minimal supervision.

- Ability to prioritize when under pressure.

• Act as primary day-to-day contact on analytics to agency-client leads
• Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
• Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
• Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
  
• Ensure data quality and integrity
  
• Interpret and analyse data problems
  
• Build analytic systems and predictive models
  
• Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
  
• Visualize data and create reports
  
• Experiment with new models and techniques
  
• Align data projects with organizational goals

• Min 6 - 7 years’ experience working in Data Science
• Prior experience as a Data Scientist within a digital media is desirable
• Solid understanding of machine learning
• A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
• Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
• A knack for statistical analysis and predictive modelling
• Good knowledge of R, Python
• Experience with SQL, MYSQL, PostgreSQL databases
• Knowledge of data management and visualization techniques
• Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
• Evidence of technical comfort and good understanding of internet functionality desirable
• Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
• Proactive and results-oriented
• A positive, can-do attitude with a thirst to continually learn new things
• An ability to work independently and collaboratively with a wide range of teams
• Excellent communication skills, both written and oral

Responsibilities:

• Build and maintain REST APIs
• Proficient in Python or any other programming language
• Experience in writing Unit/Integration tests.
• Experience with Distributed Version Control System.
• Elasticsearch or Solr experience.
• NOSQL experience- Cassandra, MongoDB.
• Experience in Message brokers - Rabbitmq.
• Experience with AWS Infrastructure, Lambda, Docker/Containers

Desired to have:

• Should be pragmatic and realize when a solution is over-engineered as well as knowing when to spend time on creating the right abstraction that allows us to move faster in the long run.
• Passion for your work and striving to do things “the right way”.
• Familiarity with Agile/Lean process.
• Willingness to work in a Startup environment.
• Excellent debugging and optimization skills.
• Knowledge of emerging technologies and a solid understanding of the full product development life cycle.
• Excellent knowledge of mobile user experience, information architecture and trends

What you need to have:

• Threat and vulnerability analysis.
• Investigating, documenting, and reporting on any information security (InfoSec) issues as well as emerging trends.
• Analysis and response to previously unknown hardware and software vulnerabilities.
• Preparing disaster recovery plans.

SOC analysts are considered the last line of defense and they usually work as part of a large security team, working alongside security managers and cybersecurity engineers. Typically, SOC analysts report to the company’s chief information security officer (CISO).

SOC analysts need to be detail oriented because they are responsible for monitoring many aspects simultaneously. They need to watch the protected network and respond to threats and events. The level of responsibility typically depends on the size of the organization.

• Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
• Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness
• Work closely with other functional teams to integrate implemented systems into the SaaS platform
• Suggest innovative and creative concepts and ideas that would improve the overall platform

‍

The ideal candidate must have the following qualifications:

• 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
• MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
• In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python is a must
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.

Chennai, India