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Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
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Top Skills:
AWSAzureCi/CdDatabricksGenerative AiGoogle Cloud PlatformLarge Language Models (Llms)MlopsNumpyPandasPower BIPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)Scikit-LearnSnowflakeSQLTableauXgboost
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Cleans and maintains assigned guest rooms, including bathrooms, bedding, floors, and surfaces. Replenishes linens and amenities, stocks and transports supplies, responds courteously to guest requests, and disposes of waste. The role requires physical stamina, attention to cleanliness and presentation, teamwork, schedule flexibility, basic English proficiency, and knowledge of cleaning chemicals and safety procedures.
Lead development and deployment of advanced AI models, design agentic architectures and prompt engineering, collaborate with cross-functional teams, ensure data readiness and governance, monitor model performance, and integrate AI workflows into production for business impact.
ResponsibilitiesQualificationsAbout UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.
KEY RESPONSIBILITIES
- Collaborate with cross-functional teams to identify business challenges and opportunities for AI-driven solutions.
- Translate business requirements into technical specifications for data science initiatives.
- Partner with S4 team, functions and the business teams to understand AI capabilities, execute data readiness workstream for S4 and deploy AI enabled workflows for the PT business.
- Evaluate model performance and fine-tune algorithms to improve accuracy and efficiency.
- Deploy AI models with dependent solutions into production and monitor their performance to ensure reliability and scalability.
- Design agentic AI architectures with prompt engineering and rule‑based automation to identify root causes, recommend actions, and continuously refine business‑aligned solutions.
- Develop and implement advanced AI models and algorithms to analyze complex datasets.
- Stay current with emerging AI research and technologies, incorporating relevant innovations into AI solutions.
- Ensure AI solutions adhere to data governance standards and ethical best practices throughout their lifecycle.
YOU MUST HAVE
- 6+ years of experience in data science, machine learning, or a related field.
- Proven experience in developing and deploying AI models and algorithms.
- Experience working with Databricks, Azure AI foundry, Google Gemini Enterprise Agent platform or similar for data preparation, training, and experiment tracking.
- Strong programming skills in languages such as Python or R.
- Strong project management and organizational abilities
- Strong written and spoken communication skills in English.
WE VALUE
- Bachelor’s or advanced degree in Computer Science, Data Science, Mathematics, or a related quantitative field.
- Experience with big data platforms and distributed processing, including Hadoop, PySpark, Hive, and related technologies.
- Strong foundation in machine learning and statistics, including feature engineering, algorithm selection, hyperparameter tuning, and predictive modeling.
- Hands-on experience with GenAI and agentic frameworks, such as LangChain, LlamaIndex, vector indexes/databases, and S/4 AI agent workflows.
- Experience preparing and analyzing multimodal data (text, images, audio, PDFs) and visualizing insights using modern data visualization tools.
- Proven leadership and collaboration skills, including leading data science initiatives, solving complex problems, and working effectively in fast-paced, cross-functional teams
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
