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Senior AI Engineer
Caterpillar Inc
posted 5mon ago
Job Role Insights
Key skills for the job
Job Description
- Developing and implementing AI models, including deep learning and neural networks, using AI libraries such as Keras, TensorFlow, and PyTorch.
- Exploring and applying Generative AI (Gen AI) and Large Language Models (LLMs) to business problems.
- Designing and implementing data engineering pipelines to support machine learning workflows.
- Directing the data gathering, data mining, and data processing processes in large volumes; creating appropriate data models.
- Conducting research on data model optimisation and algorithms to improve effectiveness and accuracy in data analyses.
- Deploying machine learning models into production environments and ensuring their scalability and reliability.
- Performing hands-on coding and development to build and optimise AI solutions.
- Staying updated with the latest advancements in AI technologies and incorporating them into existing projects.
- Collaborating with cross-functional teams to identify opportunities for AI-driven innovation and improvement.
- Completes specific tasks and initiatives utilising machine learning technologies, such as search engine optimisation.
- Utilises specific tools and techniques to process descriptive and inferential statistics.
- Applies specific computing languages and tools in machine learning, such as R and Python.
- Explores the use of machine learning in ones own areas to make business improvements.
- Conducts data mining and cleaning initiatives.
- Approaches a situation or problem by defining the problem or issue and determining its significance.
- Makes a systematic comparison of two or more alternative solutions.
- Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.
- Identifies the major forces, events, and people impacting and impacted by the situation at hand.
- Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.
- Participates in the implementation and support of specialised programming languages.
- Conducts basic reviews on writing a specific programming language within a specific platform.
- Assists with the design and development of specialised programming languages.
- Follows an organisations standards, policies, and guidelines for structured programming specifications.
- Diagnoses and reports minor or routine programming language problems.
- Develops and implements deep learning models and neural networks.
- Utilises AI libraries such as Keras, TensorFlow, and PyTorch for model development.
- Explores and applies Generative AI and Large Language Models to solve business problems.
- Conducts research on advanced machine learning techniques to enhance model performance and accuracy.
- Programming Languages : Python, SQL,
- AI Libraries : Keras, TensorFlow, PyTorch
- Data Processing Tools : Apache Spark
- Cloud Platforms : AWS
- Data Visualisation Tools : Power BI
- Version Control : Git/GitHub
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
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