Vertex AI Specialist at Carrier

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

04 Jun, 26

Salary

0.0

Posted On

06 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Vertex AI, Machine Learning, Generative AI, Agent-based Solutions, Google Cloud, LLM Orchestration, MLOps, Vertex AI Pipelines, Vertex AI Training, Vertex AI Prediction, Retrieval-Augmented Generation (RAG), Vertex AI Vector Search, Vertex AI Endpoints, Model Monitoring, Python, BigQuery

Industry

Wholesale Building Materials

Description

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 BigQuery, 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, BigQuery, 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, TensorFlow, or PyTorch Experience working with large-scale datasets using BigQuery 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. Job Applicant's Privacy Notice: Click on this link to read the Job Applicant's Privacy Notice At Carrier we make modern life possible by delivering groundbreaking systems and services that help homes, buildings and shipping become safer, smarter and more sustainable. We exceed the expectations of our customers by anticipating industry trends, working tirelessly to master and revolutionize them. Our team of approximately 56,000 dedicated individuals continues to mold industry standards by pursuing the latest research and developments to improve the lives of our customers. We’re constantly growing, seeking out talented, likeminded people who are committed to our primary duty: to be the world’s first choice in security, shipping and HVAC technology.

Responsibilities

The specialist will be responsible for designing, building, and deploying scalable machine learning, Generative AI, and agent-based solutions primarily utilizing Vertex AI on Google Cloud. Key tasks include building end-to-end ML pipelines, training and fine-tuning models, and implementing LLM-powered applications and RAG solutions.