Digital Services - AI / ML Engineer - UAE Nationals
Dubai, AE
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.
Established in the region for over 40 years, PwC Middle East employs over 6,000 people across 12 countries: Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, Qatar, Saudi Arabia, Palestine and the United Arab Emirates. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market, and beyond.
In Consulting, you will have the opportunity to work closely with the best across industry and professional functional advisory services. We focus on helping solve client problems by offering both strategic and operational deep industry expertise. We pride ourselves on building long-lasting relationships with companies and organizations, always ensuring that we are able to bring the best insights and solutions to help them tackle whatever critical issues they may face. Our Consulting practice currently focuses on several core industry sectors including (Consumer and Industrial Products & Services, Energy, Utilities & Mining, Financial Services, Government, Health Industries, Finance Function, People and Organisation, Economics and Sustainability, and Technology)
BU Description
The Technology Consulting team is shaping the Digital and IT market in the GCC. Working with Public and private sector clients to help them improve overall value delivered to their customers and employees by formulating digital strategies and helping them in the implementation. We are helping clients unlock the potential of digital by increasing their customer engagement, providing their employees with powerful tools, and helping them optimize and digitize their operations.
A career in Digital Services and Technology is an opportunity to bring PwC's strategy to life by driving digitization and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Digital Services is here to help PwC meet that challenge and accelerate the growth of our business.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional, our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
Role Requirements
This role is only for UAE Nationals
Technical skills:
- 6+ years of hands-on experience with building and implementing ML, DL,Simulation and Optimization models. Must have strong theoretical understanding and knowledge of underlying algorithms and statistical methods.
- 6+ years of hands-on experience with designing, building, and executing end-to-end data and model pipeline in production using MLOps best practices.
- Hands-on experience with transformers and good understanding of LLMs and LLMOps orchestration tools.
- Hands-on experience with LLMs fine-tuning, RAG and prompt engineering for specific applications using LangChain, LlamaIndex etc.
- Hands-on experience with cloud cognitive services, e.g., text to speech / speech to text, language detection and translation, vision transformers, etc.
- 2+ years of hands-on experience with building visualization and storytelling dashboards using Plotly, Shiny, Dash, D3 etc.
- 2+ years of hands-on experience in DevOps including Git, CI/CD, Dockers, Kubernetes, etc.
- 5+ years of solid experience in high quality Python & SQL programming.
- 5+ years of experience with dealing with high-frequency and/or transactional data, structured, semi-structured and unstructured data.
- Hands-on experience with generating and using synthetic data using various statistical techniques
- Hands-on experience with distributed programming languages such as Spark, Ray and Dask in local and cloud environment (Azure, AWS or GCP).
- Good understanding of data engineering and orchestration tools such as Airflow.
- Good understanding or working knowledge of front- and back-end UI using ReactJS, NodeJs etc.
Soft skills:
- Entrepreneurial get going attitude and problem solver.
- Strong team player, product mindset, progressive learner and self-starter.
- Possess critical thinking skills and first principal problem solving thought process.
- Possess excellent verbal and written communication skills.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure CI/CD Consulting D3 DevOps Economics Engineering Finance GCP Git Industrial Kubernetes LangChain LLMOps LLMs Machine Learning MLOps Node.js Plotly Prompt engineering Python Spark SQL Statistics Transformers Unstructured data
Perks/benefits: Career development
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