Honeywell is accelerating its AI ML innovation journey through a robust secure and scalable Google Cloud Platform GCP environment We are seeking an Sr Advanced Data Analyst to join our Engineering Tech Analytics team and help build enterprise-grade AI solutions that drive operational efficiency and strategic decision-making We are looking for an experienced and driven Advanced Data Scientist to join our AI ML team As a Sr Advanced Data Analyst at Honeywell you will take on an exciting role that involves driving AI initiatives and developing cutting-edge tools that enable Honeywell to scale and maximize value This opportunity is perfect for someone interested in technical product management while building and utilizing AI to revolutionize business and data science processes In this position you will collaborate closely with cross-functional teams to fully grasp business requirements and harness the potential of GenAI and AI agents By applying advanced analytics techniques to large datasets you will significantly impact decision-making processes and drive impactful business outcomes You will have the exciting opportunity to engage in diverse projects and collaborate with a talented team of data scientists committed to delivering innovative solutions This role is particularly ideal for individuals eager to take on greater responsibilities in the future Your contributions in driving AI innovation will position you well for advancement into leadership roles where you can further influence team dynamics and strategy If you are motivated by the challenge of working in a fast-paced high-energy environment and are enthusiastic about building and utilizing AI to make a tangible difference I invite you to join our dynamic team at Honeywell Key Responsibilities Design develop and deploy full-stack applications using modern frameworks and GCP s cloud-native services Integrate generative AI functionalities by using the Gemini API and models e g Gemini 1 5 Pro in application workflows Build and manage server-side logic and APIs using languages like Python Develop AI features such as content generation text summarization classification and conversational experiences using Gemini via Vertex AI Studio or the API Design manage and optimize databases and data pipelines on GCP using services like BigQuery Cloud SQL Use DevOps practices and GCP services like Cloud Run GKE and Vertex AI Pipelines to automate CI CD deployment and the model lifecycle Monitor and optimize application performance security and cost efficiency on GCP Design and Implement AI ML models using GCP services Vertex AI BigQuery ML AutoML Develop and implement machine learning and GenAI models to solve complex business problems Customize and fine - tune large language models LLM to fit compliance audit finance etc specific data Work with cross-functional teams to comprehend business requirements and deliver data-driven solutions Stay updated with the latest advancements in data science machine learning and GenAI Mentor junior data scientists and help develop talent within the team Required Qualifications Bachelor s Master s in Computer Science Data Science or related field 10 years of skilled full-stack development experience with a focus on GCP Hands-on experience with GCP AI ML services Proven experience with GCP AI ML services and architecture Strong programming skills in Python Solid understanding of data structures algorithms and complexity analysis Experience with CI CD tools and version control e g Git Airflow Experience integrating large language models LLMs like Google Gemini into production applications Technical skills Proficiency in front-end development HTML CSS JavaScript React Angular Vue js Deep expertise in Google Cloud Platform GCP services including Vertex AI BigQuery Data Catalog Cloud Functions Cloud Composer and Google Kubernetes Engine GKE Exposure to GenAI platforms Gemini 2 0 Gemini 1 5 Pro GPT-4o etc Strong programming skills in Python Familiarity with prompt engineering and fine-tuning techniques for LLMs Strong understanding of networking firewalls Terraform scripts Expertise in back-end development with languages such as Python Node js or Java Deep knowledge of Google Cloud Platform GCP services including Compute Compute Engine Cloud Functions Cloud Run GKE Data AI Vertex AI Gemini API BigQuery Cloud SQL Firestore DevOps Tools Cloud Build Cloud Monitoring Terraform Experience with containerization Docker and orchestration Kubernetes Proficiency with version control systems especially Git Honeywell helps organizations solve the world s most complex challenges in automation the future of aviation and energy transition As a trusted partner we provide actionable solutions and innovation through our Aerospace Technologies Building Automation Energy and Sustainability Solutions and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter safer and more sustainable

📌 Sr Advanced Data Analyst (Karnataka)
🏢 Honeywell
📍 Karnataka