6+ Vertex Jobs in India

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.

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

About the Role

We are seeking a highly skilled and experienced AI Ops Engineer to join our team. In this role, you will be responsible for ensuring the reliability, scalability, and efficiency of our AI/ML systems in production. You will work at the intersection of software engineering, machine learning, and DevOps— helping to design, deploy, and manage AI/ML models and pipelines that power mission-critical business applications.

The ideal candidate has hands-on experience in AI/ML operations and orchestrating complex data pipelines, a strong understanding of cloud-native technologies, and a passion for building robust, automated, and scalable systems.

Key Responsibilities

• AI/ML Systems Operations: Develop and manage systems to run and monitor production AI/ML workloads, ensuring performance, availability, cost-efficiency and convenience.
• Deployment & Automation: Build and maintain ETL, ML and Agentic pipelines, ensuring reproducibility and smooth deployments across environments.
• Monitoring & Incident Response: Design observability frameworks for ML systems (alerts and notifications, latency, cost, etc.) and lead incident triage, root cause analysis, and remediation.
• Collaboration: Partner with data scientists, ML engineers, and software engineers to operationalize models at scale.
• Optimization: Continuously improve infrastructure, workflows, and automation to reduce latency, increase throughput, and minimize costs.
• Governance & Compliance: Implement MLOps best practices, including versioning, auditing, security, and compliance for data and models.
• Leadership: Mentor junior engineers and contribute to the development of AI Ops standards and playbooks.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 4+ years of experience in AI/MLOps, DevOps, SRE, Data Engineering, or with at least 2+ years in AI/ML-focused operations.
• Strong expertise with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
• Hands-on experience with ML pipelines and frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.).
• Proficiency in Python and/or other scripting languages for automation.
• Familiarity with monitoring/observability tools (Prometheus, Grafana, Datadog, ELK, etc.).
• Deep understanding of CI/CD, GitOps, and Infrastructure as Code (Terraform, Helm, etc.).
• Knowledge of data governance, model drift detection, and compliance in AI systems.
• Excellent problem-solving, communication, and collaboration skills.

Nice-to-Have

• Experience in large-scale distributed systems and real-time data streaming (Kafka, Flink, Spark).
• Familiarity with data science concepts, and frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Full Stack Development knowledge to collaborate effectively across end-to-end solution delivery
• Contributions to open-source MLOps/AI Ops tools or platforms.
• Exposure to Responsible AI practices, model fairness, and explainability frameworks

Why Join Us

• Opportunity to shape and scale AI/ML operations in a fast-growing, innovation-driven environment.
• Work alongside leading data scientists and engineers on cutting-edge AI solutions.
• Competitive compensation, benefits, and career growth opportunities.

Supercharge Your Career as a Senior Vertex Consultant at Technoidentity!

Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our team of tech

innovators and leave your mark!

What’s in it for You?

Technoidentity (TI) is looking for a Senior Vertex Consultant to support global tax technology initiatives. This role demands strong Vertex expertise, deep tax domain knowledge, and the ability to operate in a fast-paced, multinational environment. The ideal candidate will work

closely with Tax, Finance, and Engineering teams, ensuring that Vertex solutions are optimized to meet compliance, reporting, and scalability needs—particularly within the hospitality industry.

What Will You Be Doing?

• Collaborate with tax and finance stakeholders to gather requirements and design Vertex-based solutions.

• Implement and manage Vertex configurations, integrations, and tax reporting processes across global operations.

• Partner with engineering teams to ensure smooth integration of Vertex with core financial and operational systems.

• Drive automation and process improvements in indirect tax workflows (VAT, GST, occupancy tax, sales/use tax, etc.).

• Provide expertise in tax domain challenges specific to the hospitality sector and ensure solutions align with business needs.

• Support audit readiness, reconciliations, and ongoing compliance through effective use of Vertex tools.

• Act as a subject matter expert (SME), advising stakeholders on Vertex best practices and future enhancements.

What Makes You the Perfect Fit?

• 8+ years of overall experience in the Tax domain, with strong exposure to indirect taxes.

• 5+ years of hands-on Vertex expertise including setup, configuration, integration, and reporting.

• Proven ability to work in client-facing roles, engaging with business and technical stakeholders.

• Good understanding of tax requirements in the hospitality industry (preferred).

• Strong analytical and problem-solving skills with attention to detail.

• Excellent communication skills, with the ability to collaborate across global teams.

Preferred Qualifications

• Experience in large-scale, global tax transformation programs.

• Exposure to ERP and billing systems commonly integrated with Vertex.

• Background in consulting roles with multinational clients

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Company Description

Miko is an advanced artificial intelligence innovation lab with a mission to bring AI and robotics to every consumer home. Headquartered in Mumbai, India, our workforce spans several countries, including the

United States, Canada, Europe, and the Middle East. To check out various product offerings, visit Miko's website.

Position Overview:

We seek a highly skilled and experienced Senior/ Lead Software Engineer to join our innovative team. The ideal candidate will have a strong background in Java development and be proficient in various backend technologies and frameworks. The role involves designing, developing, and maintaining high-performance, scalable backend systems. The candidate should be comfortable working in a Linux environment and have hands-on experience with both SQL and NoSQL

databases, as well as modern containerization and orchestration tools.

Key Responsibilities:

• Design, develop, and maintain backend services using Java, Spring Boot, and Vert.x.

• Implement and manage database solutions using SQL and NoSQL databases.

• Work with Hibernate for ORM (Object-Relational Mapping).

• Develop and manage caching mechanisms with Redis.

• Implement messaging and streaming solutions using Kafka.

• Utilize Docker for containerization and Kubernetes for orchestration.

• Perform system designing to ensure high availability, scalability, and reliability of applications.

• Design and develop microservices or monolithic architectures based on project requirements.

• Collaborate with front-end developers and other team members to establish objectives and design more functional, cohesive code to enhance the user experience.

• Write clean, scalable code using Java programming languages.

• Revise, update, and debug code.

• Improve existing software.

• Develop documentation throughout the software development life cycle (SDLC).

• Serve as an expert on applications and provide technical support.

Mandatory Skills and Qualifications:

• Proven experience as a Java Backend Developer.

• Strong expertise in Java, Spring Boot, and Vert.x.

• Proficient in using Hibernate for ORM.

• Extensive experience with Linux operating systems.

• Hands-on experience with Git version control system.

• Solid understanding of SQL and NoSQL databases.

• Experience with Redis for caching.

• Practical knowledge of Kafka for messaging and streaming.

• Proficiency with Docker for containerization and Kubernetes for orchestration.

• Strong understanding of system designing principles.

• Experience with microservices or monolithic architecture.

• Excellent problem-solving skills and attention to detail.

• Ability to work independently and as part of a team.

• Strong communication skills.

Preferred Skills:

• Familiarity with CI/CD pipelines.

• Knowledge of cloud platforms (AWS, Azure, GCP).

• Understanding of network protocols and security.

Educational Qualifications:

• Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.

Why Miko?

• Cutting-Edge Technology: Work with the latest in AI, robotics, and software development.

• Dynamic Work Environment: Collaborative and inclusive culture encouraging creativity and innovation.

• Career Growth: Opportunities for continuous learning, mentorship, and professional advancement.

• Impactful Work: Contribute to products that enhance the learning and play experiences of children worldwide.

• Global Reach: Be part of a brand that has a significant international presence.

• Innovative Products: Develop revolutionary products like the Miko robot.

• Supportive Culture: Enjoy a diverse, inclusive, and well-balanced work-life environment.

• Competitive Compensation: Receive competitive salaries and benefits packages.

• Entrepreneurial Spirit: Bring your ideas to life in a company that values initiative.

• Community Engagement: Participate in outreach programs and initiatives that give back to the community.

• Cloud: GCP
• Must have: BigQuery, Python, Vertex AI
• Nice to have Services: Data Plex
• Exp level: 5-10 years.
• Preferred Industry (nice to have): Manufacturing – B2B sales