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AI Developer
Watts Water Technologies
Develop and deploy AI/ML solutions for IoT and business analytics.
4d ago
Junior (1-3 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Dubai, Dubai, United Arab Emirates
Office Full-Time
Company Size
5,000 Employees
Service Specialisms
Engineering
Consulting
Design
Technical Services
Project Management
Sector Specialisms
Residential
Commercial
Plumbing
Heating
Water Quality
Water Purification
Radiant Heat
Flow Control
Role
What you would be doing
statistical analysis
ml development
mlops
data integration
project management
data discovery
- Ensure compliance with privacy and security standards by working with internal security teams.
- Partner with Engineering to optimize sensor data flows and develop analytical software for IoT devices.
- Stay updated on data science principles and techniques to support continuous learning.
- Contribute to strategic initiatives in big data and advanced analytics.
- Conduct statistical analysis and apply ML/AI methodologies for predictive and prescriptive analytics.
- Follow and support best practices for ML/AI development, infrastructure, and ML Ops.
- Scope, manage, and execute data science projects aligned with business goals.
- Discover and integrate new data sources to enhance analytics capabilities.
- Collaborate and learn from senior data scientists, including those from outsourcing partners.
- Collaborate with cross-functional teams, including Product, IoT/Digital Solutions, Marketing, Finance, and Customer Service, to design and implement ML/AI solutions.
- Build and maintain strong working relationships with IT colleagues and business stakeholders.
- Collaborate with Product Management to identify and develop IoT-driven product features.
- Develop ML/AI solutions to improve business outcomes such as financial forecasting, customer behavior analysis, product recommendations, A/B testing, and campaign optimization.
- Identify and propose opportunities for leveraging ML/AI to drive business value.
What you bring
rag
pytorch
sql
databricks
mlops
llms
- Experience with Retrieval-Augmented Generation (RAG) frameworks to combine LLM reasoning with external knowledge retrieval for applications like Q&A systems, semantic search, and document processing.
- Knowledge of some ML libraries (such as Py Torch, Keras, Pandas, NumPy, OpenCV, etc.).
- Experience with Streaming Analytics and applied machine learning.
- Proficiency in database programming languages such as SQL, PL/SQL
- Strong analytical and critical thinking to solve business problems using AI technologies, including LLMs and RAG.
- Ability to work on multiple projects in a fast-paced environment.
- Bachelor or Master degree in data science, computer science, statistics or related fields.
- Proficiency in .NET Core programming is a plus but not required
- Preferably in Manufacturing domain and IoT products related.
- Experience with Big Data processing tools and techniques.
- Experience with ML/Deep Learning techniques/algorithms (Regression, Classification, Clustering, Neural Networks, Random Forest, Boosting, Trees, Text Mining, SVM, Graph Analysis, Computer Vision, etc.).
- High proficiency in written and oral communication, with the ability to present technical concepts to stakeholders at all levels.
- Experience with Azure Databricks is preferable.
- Familiarity with agile methodology and DevOps/MLOps practices (e.g., MLFlow, Kubeflow).
- Understanding of ethical AI practices and ability to optimize AI solutions for scalability, latency, and cost.
- Experience with Large Language Models (LLMs) such as OpenAI GPT, BERT, or similar, including fine-tuning and deploying them for domain-specific use cases.
- Expertise in Python or Working experience in Scala, Spark and C++
- 2-3 years of relevant experience in working with AI/ML projects for various business functions.
- Experience with Azure IoT Edge platform is preferable.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
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Security clearanceInformation not given or found
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Company
Overview
Founded 1874
Year Established
The company was established in 1874, marking the beginning of its legacy in water solutions.
Over Centuries
Years of Expertise
Possessing over a century of expertise in water safety and efficiency.
- A global leader in providing safe water, energy efficiency, and environmental sustainability solutions.
- Specializes in innovative water control, flow, and safety devices, emphasizing reliability.
- Serves residential, commercial, and industrial sectors across various regions.
- Solutions are widely used in plumbing, heating, cooling, and industrial processes.
- Involved in water management systems, energy-saving technologies, and water conservation solutions.
- Inclusivity as one of our strategic pillars, cultural behaviors, and global performance management
- High-performance, values-driven culture
- Family of companies…provides one of the broadest…solutions” (emphasis on collaboration and innovation)
30% reduction
Carbon Emissions Target
Committed to reducing absolute carbon emissions by 30% by 2034.
100+ million liters saved
Water Usage Reduction
Achieved a reduction of over 100 million liters in global water usage over the past decade.
62% reduction
Water Efficiency
Improved water use efficiency, achieving a 62% reduction in water intensity since 2018.
70,000+ people
Clean Water Access
Provided access to clean water for over 70,000 individuals across nine countries.
- Recognized among the Top 300 U.S. companies for environmental sustainability by Newsweek (2024 & 2025)
- Named one of America’s Climate Leaders 2023 by USA Today
- First company verified by The Water Council’s WAVE: Water Stewardship Verified program
Top Place to Work 2023
Massachusetts Recognition
Recognized as a Top Place to Work in Massachusetts, highlighting the company's commitment to creating an inclusive and welcoming environment.
- Incorporated inclusivity as a strategic pillar and cultural behavior
- No publicly available gender-related headcount or leadership statistics
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