• Plan and carry out preventive maintenance throughout the hotel to ensure standards are maintained for guest comfort.
• Prioritize and carry out maintenance as requested by Departments on a daily basis to ensure the smooth running of all hotel departments.
• Record meter readings and liaise with the General/Hotel Manager regarding options to improve energy management and conservation in keeping with Gaia2.0 Commitments.
• Be responsible for the testing of fire alarms, emergency lighting etc. on a routine basis as required by local Council and Fire Service.
• Liaise with the General/Hotel Manager and Regional Engineer regarding use of contractors within the Hotel, controlling expenditure and ensuring work is to the standard required by the Company and manufacture specifications.
• Ensure the cost effective and hygienic removal of rubbish from the hotel areas and monitor to ensure areas are clear and free of offensive odor.
• Be available to carry out emergency maintenance work outside of normal working hours, as required for full power failure, evacuation fire system re-set and/or failure of mechanical systems.
• Maintain records of repair work and daily checks as required by local Council, Government and Manufacturer specifications.
• Liaise closely with Front Desk and Housekeeping regarding out of service rooms to expedite a quick turn around and return to inventory.
• Ensure the external areas of the hotel are maintained in line with Company brand standards.
• Research, recommend and liaise with the General/Hotel Manager regarding procedures to improve the overall efficiency of the department and to carry out project work/prepare reports as requested by the General/Hotel Manager and Regional Engineer.
• Ensure all staff are competent in the safe and effective use of equipment and chemicals in accordance with the manufacturer’s instructions.
• Attend and actively participate in daily meetings respecting the confidentiality of issues, which may be discussed formally or informally.
• Prepare monthly Maintenance reports, commenting on key performance indicators and action taken to keep on target.
• Adherence to Emergency Communication procedures ensuring that enquiries from the media are only responded to by the nominated spokesperson.
• Strive to implement the Accor Vision and demonstrate active use of Accor Values.
• At all times you will monitor, identify and where possible eliminate work place hazards and risks. This will be in line with the policies established under the guidelines within InterREACT (The primary objective of the InterREACT program is to protect Accor and its employees by ensuring that all Accor locations are identifying and managing their operational risks, both effectively and efficiently, by implementing a pre-determined and standardized set of procedures, augmented by specific State requirements where required.)
• As a member of the Emergency Planning Committee (EPC) you will attend scheduled meetings and actively participate in activities to support the Accor / Sofitel Risk Management program.
• Any other duties assigned by your manager.

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Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. FIS is a leading Fintech provider with wide range of Products and Services. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

About the role

FIS is seeking an experienced and dynamic MLOps engineer, who will be a subject matter expert in the development of a Cloud Based solution/product. You will have at least 3 years of experience in Machine Learning & ML OPS and proven experience in deploying model on Azure Cloud. Masters is Data Science or Machine learning & experience in Fintech Capital market space is an added advantage.

What you will be doing:

• Participating in Daily Scrum for developing Machine learning solution. Working in Agile development framework

• Understanding the business problems and working with various business & Technical stakeholders.

• Doing exploratory Data analysis and understanding meta data.

• Creating and reviewing ML Models.

• Understanding on Supervised Learning, Unsupervised Learning and Reinforcement learning

• Understanding on Generative AI and prompt engineering

• Model fine tuning.

• Partnering with Data Engineers, ML engineers, developers, and business teams to test your models in production.

• Building and maintaining operational tools for deployment, monitoring, and analysis of Azure infrastructure and systems.

• Administering and troubleshooting Linux based, Dockerized, Kubernetes-orchestrated systems.

• Maintaining/Supporting the solution post development.

What You Will Need:

• Experience with Time Series forecasting Models: ARMA, ARIMA, SARIMA, Vector Auto regression, Smoothing, Kalman Filtering,

• Anomaly Detection: Isolation forests, SVM, Decision Trees and Ensemble Learning

• Deep Learning Basics: RNN, LSTMs, Transformer Architecture, BERT, GPT, Roberta

• Generative AI Prompt engineering: Defining & working on prompts, Fine Tuning LLMs, RAG

• Lang Chain: Chain, Prompts, Agents, Vector stores, Document loaders

• Deploying ML Model on Cloud: Model end point deployment, Docker, Understanding REST APIs, Bit bucket

• Cloud Azure Services: Chat GPT 3.5 Turbo, Azure AI Search, Azure Content Safety, Cosmos DB, Blob storage, Data Bricks, Azure Kubernetes services, Experience in creating ML pipelines on Azure.

• Good Communication Skills: Listening, Comprehending, Speaking.

• Understanding of Application Architecture/Microservices: Application Architecture, Microservice based Architecture.

• Programming: Python, SQL; familiar with Python Libraries like SCIKIT Learn, Tensorflow, Keras, pytorch, scikit-learn, seaborn , matplotlib

Added bonus if you have:

• Experience Working in the financial industry.

What we offer you

• An opportunity to make your mark in a world leading global Fintech

• A flexible hybrid environment with a broad spectrum of opportunities

• A competitive salary package with medical and personal insurances and employee shareholding

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Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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