Sales Associate

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/.

Job Summary:

We are seeking a highly innovative and skilled AI Engineer to join our AI CoE  for the Data Integration Project. The ideal candidate will be responsible for designing, developing, and deploying intelligent assets and AI agents that automate and optimize various stages of the data ingestion and integration pipeline. This role requires expertise in machine learning, natural language processing (NLP), knowledge representation, and cloud platform services, with a strong focus on building scalable and accurate AI solutions.

Key Responsibilities:

• LLM-based Auto-schematization: Develop and refine LLM-based models and techniques for automatically inferring schemas from diverse unstructured and semi-structured public datasets and mapping them to a standardized vocabulary.
• Entity Resolution & ID Generation AI: Design and implement AI models for highly accurate entity resolution, matching new entities with existing IDs and generating unique, standardized IDs for newly identified entities.
• Automated Data Profiling & Schema Detection: Develop AI/ML accelerators for automated data profiling, pattern detection, and schema detection to understand data structure and quality at scale.
• Anomaly Detection & Smart Imputation: Create AI-powered solutions for identifying outliers, inconsistencies, and corrupt records, and for intelligently filling missing values using machine learning algorithms.
• Multilingual Data Integration AI: Develop AI assets for accurately interpreting, translating (leveraging automated tools with human-in-the-loop validation), and semantically mapping data from diverse linguistic sources, preserving meaning and context.
• Validation Automation & Error Pattern Recognition: Build AI agents to run comprehensive data validation tool checks, identify common error types, suggest fixes, and automate common error corrections.
• Knowledge Graph RAG/RIG Integration: Integrate Retrieval Augmented Generation (RAG) and Retrieval Augmented Indexing (RIG) techniques to enhance querying capabilities and facilitate consistency checks within the Knowledge Graph.
• MLOps Implementation: Implement and maintain MLOps practices for the lifecycle management of AI models, including versioning, deployment, monitoring, and retraining on a relevant AI platform.
• Code Generation & Documentation Automation: Develop AI tools for generating reusable scripts, templates, and comprehensive import documentation to streamline development.
• Continuous Improvement Systems: Design and build learning systems, feedback loops, and error analytics mechanisms to continuously improve the accuracy and efficiency of AI-powered automation over time.
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Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven experience (e.g., 3+ years) as an AI/ML Engineer, with a strong portfolio of deployed AI solutions.
• Strong expertise in Natural Language Processing (NLP), including experience with Large Language Models (LLMs) and their applications in data processing.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with cloud AI/ML services, 
• Understanding of knowledge representation, ontologies (e.g., Schema.org, RDF), and knowledge graphs.
• Experience with data quality, validation, and anomaly detection techniques.
• Familiarity with MLOps principles and practices for model deployment and lifecycle management.
• Strong problem-solving skills and an ability to translate complex data challenges into AI solutions.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with data integration projects, particularly with large-scale public datasets.
• Familiarity with knowledge graph initiatives.
• Experience with multilingual data processing and AI.
• Contributions to open-source AI/ML projects.
• Experience in an Agile development environment.

Benefits:

• Opportunity to work on a high-impact project at the forefront of AI and data integration.
• Contribute to solidifying a leading data initiative's role as a foundational source for grounding Large Models.
• Access to cutting-edge cloud AI technologies.
• Collaborative, innovative, and fast-paced work environment.
• Significant impact on data quality and operational efficiency.

Job Description for Customer Support (Voice Process)

Job Profile: Voice Process – Customer Support

Location: Work from Home (WFH)

Job Mode: Contract (3 Months)

Salary: CTC ₹23,000 per month; In-hand ₹18,000 per month.

Notice Period: Immediate Joiners Preferred

Job Responsibilities:

• Handle inbound and outbound customer queries.
• Communicate effectively in both English and Hindi.
• Provide high-quality customer service, ensuring timely resolution of customer issues.
• Maintain a professional demeanour and document all customer interactions as required.
• Strive to ensure customer satisfaction and efficient complaint management.
• Adhere to company policies, 24/7 shift schedules, and quality standards.

Eligibility Criteria:

• Graduation is mandatory for freshers. However, experienced candidates may apply even if they have not completed their graduation.
• Minimum 1 year of experience in customer support (voice process).
• Submission of experience letter, relieving letter, and last payslips is mandatory for verification
• Only candidates with relevant customer support experience will be considered.
• Comfortable working 24/7 rotational shifts (6 days working, 1-day rotational week off).
• Proficiency in English and Hindi is mandatory.

Technical Arrangements Needed:

• Must have a laptop or desktop with Windows 10, minimum 8GB RAM, and i5 processor.
• Stable WiFi connection and USB headset required.

Job Description :

Java Full Stack Developer (Java + Angular) We are solving complex technical problems in the financial industry and need talentedsoftware engineers to join our mission and be a part of a global software development team. As a Java Full Stack Developer, you will be responsible for designing, developing, and maintaining enterprise applications using Java and Angular. You will collaborate with cross-functional teams to define, design, and ship newfeatures, and you will work closely with Architects to ensure the technical feasibilityof designs and implement them accordingly.

Required Skills:  Exp. - 4 to 9 years.  Experience in Core Java 8 and above, Spring (including Core, Web Mvc, Batch, Cloud etc).  Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be awareof enterprise application design patterns.  Should be able to analyze, design, develop and test complex, low-latency clientfacing applications.  Develop user interfaces for modern web applications using Angular.

HR Operations Executive

Location - Andheri, Mumbai

Work from office

10 am to 7 pm (Mon to Sat)

Please note only looking for an immediate joiner.

Requirements:

• Bachelor's degree in human resources.
• Minimum 3- 5 years of relevant experience in human resources.
• Additional training/certification in Payroll Management - may be advantageous.
• Full understanding of HR functions and best practices.
• Well-versed with HRMS
• Onboarding and Exit formalities
• Well-versed with the entire Payroll Cycle
• HR documentation
• Employee grievances
• Prepare and maintain employee master (MIS) (Good with excel)
• Good with drafting letters and policies

Why This Role Matters

• We are looking for a Staff Engineer to lead the technical direction and hands-on development of our next-generation, agentic AI-first marketing platforms. This is a high-impact role to architect, build, and ship products that change how marketers interact with data, plan campaigns, and make decisions.

What You'll Do

• Build Gen-AI native products: Architect, build, and ship platforms powered by LLMs, agents, and predictive AI
• Stay hands-on: Design systems, write code, debug, and drive product excellence
• Lead with depth: Mentor a high-caliber team of full stack engineers.
• Speed to market: Rapidly ship and iterate on MVPs to maximize learning and feedback.
• Own the full stack: From backend data pipelines to intuitive UIs—from Airflow to React - from BigQuery to embeddings.
• Scale what works: Ensure scalability, security, and performance in multi-tenant, cloud-native environments (GCP).
• Collaborate deeply: Work closely with product, growth, and leadership to align tech with business priorities.

What You Bring

• 8+ years of experience building and scaling full-stack, data-driven products
• Proficiency in backend (Node.js, Python) and frontend (React), with solid GCP experience
• Strong grasp of data pipelines, analytics, and real-time data processing
• Familiarity with Gen-AI frameworks (LangChain, LlamaIndex, OpenAI APIs, vector databases)
• Proven architectural leadership and technical ownership
• Product mindset with a bias for execution and iteration

Our Tech Stack

• Cloud: Google Cloud Platform
• Backend: Node.js, Python, Airflow
• Data: BigQuery, Cloud SQL
• AI/ML: TensorFlow, OpenAI APIs, custom agents
• Frontend: React.js

What You Get

• Meaningful equity in a high-growth startup
• The chance to build global products from India
• A culture that values clarity, ownership, learning, humility, and candor
• A rare opportunity to build with Gen-AI from the ground up

Who You Are

• You’re initiative-driven, not interruption-driven.
• You code because you love building things that matter.
• You enjoy ambiguity and solve problems from first principles.
• You believe true leadership is contextual, hands-on, and grounded.
• You’re here to build — not just maintain.
• You care deeply about seeing your products empower real users, run reliably at scale, and adapt intelligently with minimal manual effort.
• You know that elegant code is just 30% of the job — the real craft lies in the engineering rigour, edge-case handling, and production resilience that make great products truly dependable.

Role: Process Specialist

Location: Visakhapatnam

Experience: 0-2 Years

·      Excellent English to enable customer communication (Written and Verbal)

·   Good knowledge of Telecommunication, Vendor portals and Mobility ordering (Wireless and fixed )

·      Need to handle client chats, emails and calls

·      Good knowledge of MS Office

·      Need to have strong typing skills with a high level of accuracy

·      Flexible with shift timings and week offs

Something we will like in you -

You enjoy the excitement of developing new software, mobile apps, and you have a vision for building stable, reliable, and performant systems.

You must have solid foundational knowledge in software development and debugging.

You might have a Computer Science or Engineering degree, or you might not. Your university is not what we're looking for. We care about what you can do at work and how you do it.

This is a remote job. You're free to work where you work best, anywhere in the world: home, co-working space, coffee shops.

Do you recognize yourself in these statements:

• You are comfortable under pressure, and you enjoy working on a broad array of projects with different technical requirements.
• You love unwinding tricky problems, finding the causes, and fixing them for good.
• You take pride in your work with or without accolades from others.
• You care about your coworkers and want to make their lives better.
• You enjoy working across teams to help ship new features and fix bugs.
• You approach your work with curiosity, enthusiasm, and tenacity.

Pay and benefits

• The salary for this position is INR 20000 - INR 30,000
  We assess your seniority relative to the team at Shimbi Labs during the interviewing process. It doesn't matter how many years you worked before.
• Work from anywhere.
• Allowance for the Internet connection.
• Laptop and power backup (After a year).
• 21 days paid leaves.
• Health insurance after a year with us (After a year).

We are looking for an Android developer responsible for the development and maintenance of applications aimed at a vast number of diverse Android devices. Your primary focus will be the development of Android applications and their integration with back-end services. You will be working along-side other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and creating quality products is essential.

Responsibilities:

1. Translate designs and wireframes into high-quality code

2. Design, build and maintain high performance, reusable, and reliable Java code

3. Ensure the best possible performance, quality, and responsiveness of the application

4. Identify and correct bottlenecks and fix bugs

5. Help maintain code quality, organization, and automatization

Skills:

1. Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes

2. Familiarity with RESTful APIs to connect Android applications to back-end services

3. Strong knowledge of Android UI design principles, patterns, and best practices

4. Experience with offline storage, threading, and performance tuning

5. Ability to design applications around natural user interfaces, such as “touch”

6. Familiarity with the use of additional sensors, such as gyroscopes and accelerometers

7. Knowledge of the open-source Android ecosystem and the libraries available for common tasks

8. Ability to understand business requirements and translate them into technical requirements

9. Familiarity with cloud message APIs and push notifications

10. A knack for benchmarking and optimization

11. Understanding of Google’s Android design principles and interface guidelines

12. Proficient understanding of code versioning tools, such as Git

13. Familiarity with continuous integration