Data Analyst

About Us

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/.

Role Overview:

As a Senior Data Scientist / AI Engineer, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs). You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.

Key Responsibilities:

• Architect & Develop AI Solutions: Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.
• Build AI Infrastructure: Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.
• Lead AI Research & Innovation: Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.
• Solve Business Problems: Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.
• End-to-End Project Ownership: Take ownership of the entire lifecycle of AI projects—from ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.
• Team Leadership & Mentorship: Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.
• Cross-Functional Collaboration: Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.
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Required Skills and Qualifications

• Master’s (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
• 6+ years of professional experience in a Data Scientist, AI Engineer, or related role.
• Expert-level proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).
• Demonstrable, hands-on experience building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions.
• Proven experience in developing and deploying scalable systems on cloud platforms, particularly AWS. Experience with GCS is a plus.
• Strong background in Natural Language Processing (NLP), including experience with multilingual models and transcription.
• Experience with containerization technologies, specifically Docker.
• Solid understanding of software engineering principles and experience building APIs and microservices.

Preferred Qualifications

• A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.
• Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).
• Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).
• Proven ability to lead technical teams and mentor other engineers.
• Experience developing custom tools or packages for data science workflows.

Job Responsibility ::

• Proficiency in Java, with a good understanding of its ecosystems
• Sound knowledge of Object-Oriented Programming (OOP) Patterns and Concepts
• Familiarity with different design and architectural patterns
• Skill for writing reusable Java libraries 
• Knowhow of Java concurrency patterns
• Basic Understanding of the concepts of MVC (Model-View-Controller) Pattern, JDBC (Java Database Connectivity), and RESTful web services
• Experience in working with popular web application frameworks like Play and Spark
• Relevant Knowledge of Java GUI frameworks like Swing, SWT, AWT according to project requirements
• Ability to write clean, readable Java code
• Basic knowhow of class loading mechanism in Java
• Experience in handling external and embedded databases
• Understanding basic design principles behind a scalable application
• Skilled at creating database schemas that characterize and support business processes
• Basic knowledge of JVM (Java Virtual Machine), its drawbacks, weaknesses, and workarounds
• Implementing automated testing platforms and unit tests 
• In-depth knowledge of code versioning tools, for instance, Git
• Understanding of building tools like Ant, Maven, Gradle, etc
• Expertise in continuous integration

Other required skills of java developer include the basic knowledge of:

• Java Server pages (JSP) and servlets
• Web frameworks like Struts and Spring
• Service-oriented architecture 
• Web Technologies like HTML, JavaScript, CSS

Job Title: Senior QA Engineer

About the Role

We are looking for a passionate Senior QA Engineer with 3–5 years of hands-on experience to help us deliver high-quality, scalable, and reliable products. You will take ownership of testing strategies, drive automation efforts, and ensure that every release meets world-class standards. This role blends hands-on testing with leadership responsibilities, giving you the opportunity to influence our QA practices and mentor junior engineers.

Key Responsibilities

• End-to-End Testing: Design and execute test plans for web, mobile, APIs, and backend services.
• Automation: Build and maintain automated test suites for regression, functional, and integration testing.
• Quality Advocacy: Collaborate with developers and product managers to embed quality across the development lifecycle.
• CI/CD Enablement: Integrate automated tests into CI/CD pipelines for faster and reliable releases.
• Defect Resolution: Identify, document, and track issues through resolution, ensuring root-cause fixes.
• Mentorship: Support and guide junior QA team members while fostering a culture of excellence.
• Continuous Improvement: Recommend and implement process improvements, new tools, and best practices.

Qualifications

• 3–5 years of QA engineering experience (manual + automation).
• Strong experience with automation frameworks (e.g., Selenium, Cypress, Playwright, Appium).
• Working knowledge of Java, Python, or JavaScript/TypeScript for automation scripting.
• Good understanding of REST API testing (Postman, REST Assured, etc.).
• Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, CircleCI).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized systems (Docker, Kubernetes).
• Exposure to performance/load/security testing is a plus.
• Strong problem-solving skills, attention to detail, and ability to work in agile teams.

Why Join Us

• Be a key contributor in a growing engineering team with real impact.
• Work on cutting-edge products with modern tech stacks.
• Competitive salary, benefits, and opportunities for growth.
• Culture that encourages ownership, learning, and innovation.

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge,Hamilton Lane, Franklin T empleton, Motive Partners and a who’s who of the financial service industry.

We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and

planning divisions.

OUR VALUES: Go with your GUT

● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos

aside to find our genius zones. With self-awareness and integrity we strive to be the best we can

possibly be. No excuses.

●Understanding through Listening and Speaking the Truth. We value transparency. We communicate

with radical candor, authenticity and precision to create a shared understanding. We challenge, but

once a decision is made, commit fully.

●I Win for T eamwin. We believe in staying within our genius zones to succeed and we take full

ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win

together.

Key responsibilities:

● Prototype Development: Build and validate prototypes by designing datasets and performing fine-tuning to demonstrate model feasibility and effectiveness.

● Model Fine-Tuning: Lead the fine-tuning process for large language models, leveraging both open-source solutions (e.g., LORA, LLAMA 2/3) and proprietary models like GPT 3.5/4.0 to address specific business needs.

● Retrieval-Augmented Generation (RAG): Design and optimize advanced RAG systems,implementing efficient methods for chunking, indexing, and managing complex document formats, such as PDFs.

● Agentic Workflows: Develop and apply agentic workflows to create advanced conversation agents tailored for various use cases.

● Prompt Engineering: Craft effective prompts to enhance the performance of large language models, such as GPT-4 and Cloud 3, ensuring solutions align with business objectives.

● Inference Frameworks: Utilize inference frameworks like VAM and advanced pipelines to improve scalability and streamline the deployment of machine learning models.

● ML Model Deployment: Lead the deployment and productionization of machine learning models, collaborating closely with software engineers to ensure seamless integration into products.

● Conversational Experiences: Work with cross-functional teams, including design and product, to craft engaging and personalized conversational AI experiences for end-users.

● Independent Execution: Demonstrate the ability to independently manage projects, deliver features, and achieve outcomes in a dynamic, fast-paced startup environment.

● Data Personalization: Leverage and analyze existing datasets to enhance model performance and create tailored user experiences, fine-tuning models to align with unique business cases.

● Startup Mindset: T ake initiative in setting up workflows, tools, and systems from scratch, showcasing flexibility and adaptability in a growing organization.

● Leadership and Collaboration: Act as a leader and independent contributor, effectively collaborating across diverse teams while managing evolving project priorities.

● Research and Innovation: Drive innovative research aligned with business goals, exploring advancements in Natural Language Understanding (NLU) and conversational AI applications.

● Knowledge Sharing: Publish and present groundbreaking research in top-tier journals and conferences, contributing to the broader scientific community and enhancing organizational credibility.

Requirements:

● 8+ years of experience

● Experience working with LLMs and Generative AI

● Experience building conversational bots

● Experience 2+ Years fine tuning models

● Experience using RAG base approaches

● Understanding of financial concepts and investing would be a big plus but not required

• To hire for all the sales openings
• To generate offer letters
• Providing quality candidates & Employee retention

About our Client

Our client is a B2B2C tech firm backed by India’s largest retailer and tech venture capitalist founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech

It aims to become one app to manage all your brands loyalty points, cashback and coupons. It will have additional content and discovery layer for customers and brands for further engagement and commerce.

The company currently powers closed-loop loyalty programs for all different brands under its parent retail group. Currently, it has 20Mn+ registered customers and 3Mn MAU across 8 brands. Its vision is to be at the center of D2C Brands and the consumer consumption ecosystem

Job Location -Bangalore

Job  Location: Bangalore

Key Responsibilities

• Integration of user-facing elements developed by front-end developers with server side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• High volume of data and requests to be managed

Required Skills and Qualifications

• BE / MCA / B.Sc-IT / B.Tech in Computer Science or a related field.
• 3-5 years overall development experience.
• Strong proficiency with JavaScript
• Knowledge of Node.js and frameworks
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Understanding accessibility and security compliance
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Understanding fundamental design principles behind a scalable application
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git

Java Springboot Developer

• Java Springboot - Support end-end management of the APIs over its entire lifecycle
• Work with various application teams to understand their business needs and requirements for the API implementation
• Ensure API documentation is created and remains up to date
• Ensure code and design quality with appropriate logging, monitoring, tracing, and security standards in place
• Help troubleshoot and resolve issues related to the API platform, API accessibility and API deployments
• Perform root cause analysis for Production issues and come up with solutions that will prevent them from happening in the future
• Governance, Event Driven Architecture, message-based architectures, and caching strategies and frameworks.
• Participate and contribute in grooming technical user stories impacting integration

Who You Are

To qualify for this position, you should meet the following requirements:

• More than 6 years of experience in development, and implementation of enterprise-wide solutions based on Java Technologies (Java, J2EE, Webservices/Spring)
• At least 3-5 years of hands on experience with design, development and implementation of Spring Boot, Microservices
• Experience in Deploying Microservices (spring-boot, node's)
• Good understanding of security protocols (e.g. OAuth, SAML)
• Excellent analytical, oral, written communication and presentation skills with ability to interact with global delivery technical teams.
• Experience in Agile methodologies