Engineer - Artificial Intelligence - G42
Posted on :
02-10-2024
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1 Vacancy
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Job Description
Overview:
The opportunity
Looking for an astute proficient and qualified Engineer Artificial Intelligence to ess yze and work with data concepts AI usecases & complex new data sources to provide business insights to customers and support the implementation & integration of the data sources into the Presight platform. To play a critical role in the development of highperformance AI solutions at Presight. Responsibilities:
Functional
What we look for:
What working at Presight offers:
This job has been sourced from an external job board. About Presight:
Presight an ADXlisted public company limited by shares whose majority shareholder is Abu Dhabi company G42 is the regions leading big data ytics company powered by Artificial Intelligence (AI). It combines big data ytics and AI expertise to serve every sector of every scale to create business and positive societal impact. With its worldcl computer vision AI and omniytics platform as its engine Presight leverages allsource data to support insightdriven decision making that shapes policy and creates safer healthier happier and more sustainable societies.
The opportunity
Looking for an astute proficient and qualified Engineer Artificial Intelligence to ess yze and work with data concepts AI usecases & complex new data sources to provide business insights to customers and support the implementation & integration of the data sources into the Presight platform. To play a critical role in the development of highperformance AI solutions at Presight.
Key responsibilities
Functional
- Design develop and deploy AI models and algorithms to address business challenges and enhance operational efficiency across various domains including natural language processing (NLP) computer vision recommendation systems and predictive ytics.
- Collect preprocess and yze data from diverse sources to derive meaningful insights and features for training AI models employing techniques such as data cleaning transformation and feature extraction.
- Train validate and finetune machine learning and deep learning models using cuttingedge algorithms and frameworks ensuring optimal performance accuracy and generalization on diverse datasets.
- Deploy trained AI models into production environments integrating them into existing systems and applications to facilitate realtime inference and decisionmaking while ensuring scalability reliability and security.
- Monitor the performance and behavior of deployed AI systems diagnosing issues optimizing model performance and implementing enhancements to improve efficiency scalability and user experience.
- Collaborate with crossfunctional teams including data scientists software engineers and business stakeholders to gather requirements prioritize tasks and deliver AI solutions aligned with business objectives effectively communicating technical concepts and solutions to nontechnical audiences.
- Stay abreast of the latest advancements in AI technologies tools and odologies conducting research and experimentation to explore new approaches algorithms and applications that drive innovation and competitive advantage.
- Support the wider business with their data needs on an ad hoc basis.
- Comply with QHSE (Quality Health Safety and Environment) Business Continuity Information Security Privacy Risk Compliance Management and Governance of Organizations policies procedures plans and related risk essments.
To qualify you must have
- Bachelors or Masters degree in Computer Science Artificial Intelligence Machine Learning or a related field.
- 3 years of professional experience in AI engineering machine learning or data science roles with a proven track record of developing and deploying AI solutions in production environments.
- Proficiency in programming languages such as Python R or Java and experience with AI/ML libraries and frameworks (e.g. TensorFlow PyTorch scikitlearn).
- Strong understanding of machine learning algorithms deep learning architectures and statistical modeling techniques with handson experience in building and training AI models for realworld applications.
- Experience with data preprocessing feature engineering and exploratory data ysis (EDA) utilizing tools and techniques for data manipulation visualization and statistical ysis.
- Familiarity with cloud platforms (e.g. AWS Azure Google Cloud) and AI/ML services for model training deployment and orchestration in distributed environments.
- Knowledge of software engineering principles agile development odologies and version control systems (e.g. Git) with experience in building scalable and maintainable software systems.
- Excellent problemsolving ss ytical thinking and attention to detail with the ability to translate business requirements into technical solutions and deliver results in a fastpaced collaborative environment.
- Strong communication and interpersonal ss with the ability to work effectively in crossfunctional teams and convey technical concepts to both technical and nontechnical stakeholders.
- Good corporate capacity and good communication ss.
- Knowledge of machine learning and big data ytics and mining techniques in one or more areas of statistical modeling text mining and information retrieval.
- An innovative and creative approach to problemsolving.
- Strong AI ytical and data visualization ss.
- Excellent communication and presentation ss
What we look for:
If you are a performancedriven inquisitive mind with the agility to adapt to ambiguity you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customercentric solutions. Bias for action and a pion to conquer new frontiers in the AI space is at the heart of the Presight community.
What working at Presight offers:
Culture: An open diverse and inclusive environment with a global vision that encourages personal growth and focuses on groundbreaking industryfirst innovations.
Career: Outstanding learning development & growth opportunities via structured training programs and innovative hightech projects.
Rewards: A competitive remuneration package with a host of perks including healthcare education support leave benefits and more
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Employment Type
Full Time
Key Skills
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