CLOUDSUFI
https://cloudsufi.comAbout
We exist to eliminate the gap between “Human Intuition” and “Data-Backed Decisions”
Data is the new oxygen, and we believe no organization can live without it. We partner with our customers to get to the core of their problems, enable the data supply chain and help them monetize their data. We make enterprise data dance!
Our work elevates the quality of lives for our family, customers, partners and the community.
The human values that we display in all our interactions are of:
Passion – we are committed in heart and head
Integrity – we are real, honest and, fair
Empathy – we understand business isn’t just B2B, or B2C, it is H2H i.e. Human to Human
Boldness – we have the courage to think and do differently
The CLOUDSUFI Foundation embraces the power of legacy and wisdom of those who have helped laid the foundation for all of us, our seniors. We believe in their abilities and we pledge to equip them, to provide them jobs, and to bring them sufi joy.
Tech stack
Go Programming (Golang)
Java
Machine Learning (ML)
Data Analytics
React.js
React Native
Company social profiles
Jobs at CLOUDSUFI
PythonAbout 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.
Role : Lead AI/Senior Engineer-AI
Location : Noida, Delhi/NCR
Experience : 5- 12 years
Education : BTech / BE / MCA / MSc Computer Science
Must Haves :
Conversational AI & NLU :
- Advanced proficiency with Dialogflow CX
- Intent classification, entity extraction, conversation flow design
- Experience building structured dialogue flows with routing logic CCAI platform familiarity
Agentic AI & Multi-Step Reasoning :
- Production experience with Google ADK (or LangChain/LangGraph equivalent)
- Multi-step reasoning and tool orchestration capability
- Tool-use patterns and function calling implementation
RAG Systems & Knowledge Management :
- Hands-on Vertex AI RAG Engine experience (or equivalent)
- Semantic search, chunking strategies, retrieval optimization
- Document processing pipelines (PDF parsing, chunking)
LLM/GenAI & Prompt Engineering :
- Production experience with Gemini models
- Advanced prompt engineering for customer support
- Langfuse experience for prompt management
Google Cloud Platform & Vertex AI :
- Advanced Vertex AI proficiency (Generative AI APIs, Agent Engine)
- Cloud Functions and Cloud Run deployment experience
- BigQuery for conversation analytics
API Integration :
- Genesys Cloud CX integration experience
- REST API design and webhook implementation
- Enterprise authentication patterns (OAuth 2.0)
Good To Have :
Conversational AI & NLU :
- Multi-language support implementation (Spanish/English)
- Telephony integration (speech recognition, TTS, DTMF)
- Barge-in handling and voice optimization
Agentic AI :
- Agent state management and session persistence
- Advanced fallback strategies and error recovery
- Dynamic tool selection and evaluation
RAG Systems :
- Re-ranking and advanced retrieval quality metrics
- Query expansion and context-aware retrieval
- Corpus organization strategies
LLM/GenAI :
- Prompt versioning, A/B testing, iterative refinement
- Prompt injection mitigation strategies
- In-context learning, few-shot, chain-of-thought techniques
LLMOps & Observability :
- Vertex AI Evaluation Service experience
- Groundedness, relevance, coherence, safety metrics
- Trace-level debugging with Cloud Trace
- Centralized logging strategies
Google Cloud :
- Application Integration connectors
- VPC Service Controls and enterprise security
- Cloud Pub/Sub for event-driven systems
Enterprise Integration :
- Third-party AI agent orchestration (SAP Joule, ServiceNow AI, Agentforce)
- Salesforce, SAP, ServiceNow integration patterns
- Context passage strategies for escalations
Architecture & System Design :
- Configuration-driven systems (Meta-Agent patterns)
- Microservices and containerization
- Scalable, multi-tenant system design
- Disaster recovery and failover strategies
Product Quality & KPIs :
- Customer support metrics expertise (CSAT, SSR, escalation rate)
- A/B testing and experimentation frameworks
- User feedback loop implementation
Deliverables :
- Architecture Design : End-to-end platform architecture, data flow diagrams, Dialogflow CX vs. ADK routing decisions
- Conversational Flows : 15+ dialogue flows covering billing, networking, appointments, troubleshooting, and escalations
- ADK Agent Implementation : Complex reasoning agents for technical support, account analysis, and context preparation
- RAG Pipeline : Document processing, chunking configuration, corpus organization (product docs, support articles, policies, promotions)
- Prompt Management : System prompts, Langfuse setup, playbook governance, version control
- Quality Framework : Evaluation pipeline, metrics dashboards, automated assessment, continuous improvement recommendations
- Integration Layer : Genesys handoff, webhook integrations, Application Integration setup, session management
- Testing & Validation : Conversation flow tests, performance testing (latency, throughput, 1000 concurrent users), security validation
- Response time <2 seconds (p95), 99.9% uptime, 1000 concurrent conversations
- Data encryption (TLS 1.2+, AES-256 at rest), PII redaction, 1-year data retention
- Graceful degradation and fallback mechanisms
PythonAbout Us
CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.
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, colour, 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/
Location: Noida, India (Hybrid) - 2 days from office
Position: Full-time
As a Senior Data Scientist, 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.
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.
- 7+ 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 in GCP.
- 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.
We at CLOUDSUFI are hiring for Workato AI Integration Consultants.
Location - Remote
Type - Contractual (6months and extendable)
Shift - 3pm-12am
Qualifications:
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Proven 5+ years of hands-on experience in designing, developing, and deploying integrations using the Workato platform.
• Strong understanding of Integration Platform as a Service (iPaaS) concepts and enterprise application integration (EAI) patterns.
• Demonstrated experience with Workato's AI capabilities, including building solutions with AI by Workato, IDP, or Agentic AI.
• Proficiency in working with various APIs (REST, SOAP), webhooks, and different data formats (JSON, XML, CSV).
• Experience with scripting languages (e.g., Ruby, Python, JavaScript) for custom logic within Workato recipes is a plus.
• Solid understanding of database concepts and experience with SQL/NoSQL databases.
• Excellent problem-solving, analytical, and troubleshooting skills with keen attention to detail.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
• Workato certifications (e.g., Automation Pro I, II, III, Integration Developer) are desirable.
• Experience with Agile/Scrum methodologies is a plus.
Preferred Skills (Nice to Have):
• Experience with other integration platforms (e.g., MuleSoft, Boomi, Zapier).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Knowledge of microservices architecture.
• Experience with version control systems (e.g., Git).
JavaAbout 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/.
What we are looking for:
Experience: 10+ years
Education: BTech / BE / ME /MTech/ MCA / MSc Computer Science
Industry: Product Engineering Services or Enterprise Software Companies
Job Responsibilities:
- Sprint Development Task , Code Review , Defining detailed task for the connector based on design/Timelines, Documentation maturity, Release review and Sanity,Writing the design specifications and user stories for the functionalities assigned.
- Develop assigned components / classes and assist QA team in writing the test cases
- Create and maintain coding best practices and do peer code / solution reviews
- Participate in Daily Scrum calls, Scrum Planning, Retro and Demos meetings
- Bring out technical/design/architectural challenges/risks during execution, develop action plan for mitigation and aversion of identified risks
- Comply with development processes, documentation templates and tools prescribed by CloudSufi or and its clients
- Work with other teams and Architects in the organization and assist them on technical Issues/Demos/POCs and proposal writing for prospective clients
- Contribute towards the creation of knowledge repository, reusable assets/solution accelerators and IPs
- Provide feedback to junior developers and be a coach and mentor for them
- Provide training sessions on the latest technologies and topics to others employees in the organization
- Participate in organization development activities time to time - Interviews, CSR/Employee engagement activities, participation in business events/conferences, implementation of new policies, systems and procedures as decided by Management team
Certifications (Optional): OCPJP (Oracle Certified Professional Java Programmer)
Required Experience:
- Strong programming skills in the language Java.
- Hands on in Core Java and Microservices
- Understanding of Identity Management using users , groups and entitlements
- Hands on in developing connectivity for Identity management using SCIM,REST and LDAP.
- Through Experience in Triggers , Web hooks , events receiver implementations for connectors.
- Excellent in code review process and assessing developer’s productivity.
- Excellent analytical and problem-solving skills
Good to Have:
- Experience of developing 3-4 integration adapters/connectors for enterprise applications (ERP, CRM, HCM, SCM, Billing etc.) using industry standard frameworks and methodologies following Agile/Scrum
- Experience with IAM products.
- Experience on Implementation of Message Brokers using JMS.
- Experience on ETL processes
Non-Technical/ Behavioral competencies required:
- Must have worked with US/Europe based clients in onsite/offshore delivery model
- Should have very good verbal and written communication, technical articulation, listening and presentation skills
- Should have proven analytical and problem solving skills
- Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills
- Should be a quick learner, self starter, go-getter and team player
- Should have experience of working under stringent deadlines in a Matrix organization structure
- Should have demonstrated appreciable Organizational Citizenship Behavior in past organizations
PythonHighlights - Current location of candidate should be Bangalore
Total Exp - 6-12yrs
Joining Time period - Within 30 days
GCP Bigquery expert, GCP Certified
About Us
CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.
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, colour, 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 skilled and motivated Data Engineer to join our Development POD for the Integration Project. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines to ingest, clean, transform, and integrate diverse public datasets into our knowledge graph. This role requires a strong understanding of Cloud Platform (GCP) services, data engineering best practices, and a commitment to data quality and scalability.
Key Responsibilities
ETL Development: Design, develop, and optimize data ingestion, cleaning, and transformation pipelines for various data sources (e.g., CSV, API, XLS, JSON, SDMX) using Cloud Platform services (Cloud Run, Dataflow) and Python.
Schema Mapping & Modeling: Work with LLM-based auto-schematization tools to map source data to our schema.org vocabulary, defining appropriate Statistical Variables (SVs) and generating MCF/TMCF files.
Entity Resolution & ID Generation: Implement processes for accurately matching new entities with existing IDs or generating unique, standardized IDs for new entities.
Knowledge Graph Integration: Integrate transformed data into the Knowledge Graph, ensuring proper versioning and adherence to existing standards.
API Development: Develop and enhance REST and SPARQL APIs via Apigee to enable efficient access to integrated data for internal and external stakeholders.
Data Validation & Quality Assurance: Implement comprehensive data validation and quality checks (statistical, schema, anomaly detection) to ensure data integrity, accuracy, and freshness. Troubleshoot and resolve data import errors.
Automation & Optimization: Collaborate with the Automation POD to leverage and integrate intelligent assets for data identification, profiling, cleaning, schema mapping, and validation, aiming for significant reduction in manual effort.
Collaboration: Work closely with cross-functional teams, including Managed Service POD, Automation POD, and relevant stakeholders.
Qualifications and Skills
Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.
Experience: 6+ years of proven experience as a Data Engineer, with a strong portfolio of successfully implemented data pipelines.
Programming Languages: Proficiency in Python for data manipulation, scripting, and pipeline development.
Cloud Platforms and Tools: Expertise in Google Cloud Platform (GCP) services, including Cloud Storage, Cloud SQL, Cloud Run, Dataflow, Pub/Sub, BigQuery, and Apigee. Proficiency with Git-based version control.
Core Competencies:
Must Have - SQL, Python, BigQuery, (GCP DataFlow / Apache Beam), Google Cloud Storage (GCS)
Must Have - GCP Certification
Must Have - Proven ability in comprehensive data wrangling, cleaning, and transforming complex datasets from various formats (e.g., API, CSV, XLS, JSON)
Secondary Skills - SPARQL, Schema.org, Apigee, CI/CD (Cloud Build), GCP, Cloud Data Fusion, Data Modelling
Solid understanding of data modeling, schema design, and knowledge graph concepts (e.g., Schema.org, RDF, SPARQL, JSON-LD).
Experience with data validation techniques and tools.
Familiarity with CI/CD practices and the ability to work in an Agile framework.
Strong problem-solving skills and keen attention to detail.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
XMLReporting to: Solution Architect / Program Manager / COE Head
Location: Noida, Delhi NCR
Shift: Normal Day shift with some overlap with US timezones
Experience: 4-7 years
Education: BTech / BE / MCA / MSc Computer Science
Industry: Product Engineering Services or Enterprise Software Companies
Primary Skills - Java 8/9, Core Java, Design patterns (more than Singleton & Factory),
Webservices development REST/SOAP, XML & JSON manipulation, CI/CD.
Secondary Skills - Jenkins, Kubernetes, Google Cloud Platform (GCP), SAP JCo library
Certifications (Optional): OCPJP (the Oracle Certified Professional Java Programmer) / Google
Professional Cloud Developer
Required Experience:
● Must have integration component development experience using Java 8/9 technologies
and service-oriented architecture (SOA)
● Must have in-depth knowledge of design patterns and integration architecture
● Experience with developing solutions on Google Cloud Platform will be an added
advantage.
● Should have good hands-on experience with Software Engineering tools viz. Eclipse,
NetBeans, JIRA, Confluence, BitBucket, SVN etc.
● Should be very well verse with current technology trends in IT Solutions e.g. Cloud
Platform Development, DevOps, Low Code solutions, Intelligent Automation
Good to Have:
● Experience of developing 3-4 integration adapters/connectors for enterprise applications
(ERP, CRM, HCM, SCM, Billing etc.) using industry standard frameworks and
methodologies following Agile/Scrum
Non-Technical/ Behavioral competencies required:
● Must have worked with US/Europe based clients in onsite/offshore delivery model
● Should have very good verbal and written communication, technical articulation, listening
and presentation skills
● Should have proven analytical and problem solving skills
● Should have demonstrated effective task prioritization, time management and
internal/external stakeholder management skills
● Should be a quick learner, self starter, go-getter and team player
● Should have experience of working under stringent deadlines in a Matrix organization
structure
● Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in
past organizations
Job Responsibilities:
● Writing the design specifications and user stories for the functionalities assigned.
● Develop assigned components / classes and assist QA team in writing the test cases
● Create and maintain coding best practices and do peer code / solution reviews
● Participate in Daily Scrum calls, Scrum Planning, Retro and Demos meetings
● Bring out technical/design/architectural challenges/risks during execution, develop action
plan for mitigation and aversion of identified risks
● Comply with development processes, documentation templates and tools prescribed by
CloudSufi or and its clients
● Work with other teams and Architects in the organization and assist them on technical
Issues/Demos/POCs and proposal writing for prospective clients
● Contribute towards the creation of knowledge repository, reusable assets/solution
accelerators and IPs
● Provide feedback to junior developers and be a coach and mentor for them
● Provide training sessions on the latest technologies and topics to others employees in
the organization
● Participate in organization development activities time to time - Interviews,
CSR/Employee engagement activities, participation in business events/conferences,
implementation of new policies, systems and procedures as decided by Management team.
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