Role: Vertex AI Specialist

Location: Bangalore

Full/ Part-time: Full Time

Build a career with confidence

Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.

About the role

We are seeking an experienced Vertex AI Specialist to design, build, and deploy scalable machine learning, Generative AI, and agent-based solutions using Vertex AI on Google Cloud.This role focuses on leveraging Vertex AI as the core AI platform for end-to-end model development, LLM orchestration, agent creation, and enterprise-grade MLOps. The ideal candidate combines strong data science foundations, hands-on Vertex AI expertise, and practical experience building LLM-powered agents to solve complex business problems.

Key Responsibilities:

• Develop, and deploy ML, GenAI, and agentic AI solutions using Vertex AI
• Build and manage end-to-end ML pipelines using Vertex AI Pipelines
• Train, fine-tune, evaluate, and deploy models using Vertex AI Training and Prediction services
• Design and implement LLM-powered applications and AI agents using Vertex AI
• Build Retrieval-Augmented Generation (RAG) solutions using Vertex AI embeddings and vector search
• Develop and orchestrate single-agent and multi-agent workflows with tool/function calling
• Deploy scalable online and batch inference solutions using Vertex AI Endpoints
• Implement model monitoring, drift detection, and performance tracking using Vertex AI
• Integrate Vertex AI solutions with Big Query, Cloud Storage, APIs, and enterprise systems
• Apply MLOps best practices including CI/CD, model versioning, and reproducibility
• Ensure security, governance, and cost optimization for AI workloads
• Collaborate with data engineers, cloud engineers, and business stakeholders
• Stay current with advancements in Vertex AI, LLMs, and agentic AI frameworks

Requirements

• 5+ years of experience in Data Science, AI/ML, or Applied Machine Learning roles
• Strong hands-on experience building and deploying solutions using Vertex AI on Google Cloud
• Proven experience using Vertex AI for model training, evaluation, deployment, and lifecycle management
• Hands-on expertise with Vertex AI Pipelines for end-to-end workflow orchestration
• Experience working with Vertex AI Workbench and managed notebook environments
• Strong experience deploying models using Vertex AI Endpoints for online and batch prediction
• Experience with Vertex AI Model Monitoring, drift detection, and performance analytics
• Hands-on experience with Vertex AI Vector Search and embedding-based similarity search
• Strong experience building Generative AI and LLM-based solutions using Vertex AI (managed LLMs such as Gemini, custom, or open-source models)
• Practical experience implementing Retrieval-Augmented Generation (RAG) architectures using Vertex AI, Big Query, and Cloud Storage
• Hands-on experience creating AI agents with tool/function calling, memory, and multi-step reasoning
• Exposure to multi-agent orchestration patterns and agent-based workflow design
• Strong understanding of prompt engineering and prompt optimization strategies
• Solid foundation in statistics, feature engineering, and model evaluation techniques
• Hands-on experience with supervised and unsupervised learning algorithms
• Proficiency in Python and ML frameworks such as scikit-learn, Tensor Flow, or Py Torch
• Experience working with large-scale datasets using Big Query
• Strong understanding of MLOps practices, including CI/CD, model versioning, and reproducibility
• Experience with Docker, Git-based workflows, and cloud-native deployments
• Knowledge of IAM, security, governance, and cost optimization for AI workloads on Google Cloud
• Ability to translate complex business problems into scalable Vertex AI–based solutions
• Strong communication skills and experience collaborating across cross-functional teams

Benefits

We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.

• Have peace of mind and body with our health insurance
• Drive forward your career through professional development opportunities
• Achieve your personal goals with our Employee Assistance Programme

Our commitment to you

Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now!

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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