AI Research Engineer
AI Research Engineer
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Job Description
Plantrs AI Research Engineer Role in Novara
The Company
A simulation innovation partner to manufacturers in automotive aerospace and other engineeringintense industries.
Specialized in Simulation Process Integration and Multidisciplinary Design Optimization our Optimus software platform helps customers adopt an Engineer by Objective development strategy.
The Mission
We are seeking a talented and motivated AI Research Engineer to join our team. You will play a pivotal role in designing and implementing cuttingedge machine learning and neural network models to solve realworld problems. This position offers the opportunity to work on impactful projects in a fastpaced collaborative environment.
Responsibilities
- Develop train and optimize machine learning models and neural network architectures.
- Implement scalable and efficient solutions using Python and frameworks like PyTorch.
- Collaborate with crossfunctional teams to define requirements and deliver innovative AI solutions.
- Conduct research and stay updated on the latest advancements in AI and machine learning.
- Design test and refine algorithms with an emphasis on performance and accuracy.
- Utilize objectoriented programming principles to develop clean reusable and maintainable code.
- Prepare documentation and present findings to both technical and nontechnical stakeholders.
Qualifications
- Strong proficiency in Python with experience in data manipulation and analysis.
- Expertise in machine learning techniques and handson experience with frameworks such as PyTorch.
- Proven ability to design and implement neural network architectures for various applications.
- Solid understanding of objectoriented programming concepts and their practical applications.
- Excellent communication skills with fluency in English.
- A passion for innovation and problemsolving in the field of AI.
Preferred Qualifications
- A degree in Computer Science Engineering Mathematics or a related field.
- Experience with deploying machine learning models into production environments.
- Knowledge of other ML frameworks or tools (e.g. TensorFlow Scikitlearn).
Employment Type
Full Time
