Apprenticeships

AI ML Apprentice Jobs at Dassault Systemes, Pune [Stipend Rs. 20k]: Apply Now!

Apoorva

Dec 5, 2023
2 min read

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Online applications are invited for the AI ML Apprentice Jobs at Dassault Systemes, Pune. Check the eligibility and other details below!

About Dassault Systemes

Dassault Systèmes is innovation-driven. In 2012 they embraced transformation by shifting from a software company to an experience company. What does that mean? They provide our customers not just with products but with services and content that focus on improving the end-user experience. They designed their 3DEXPERIENCE platform as a collaborative environment that empowers people and businesses to innovate in entirely new ways.

AI ML Apprentice Jobs at Dassault Systemes

Apprentice Details

Dassault Systemes is looking for enthusiastic graduates or post-graduates who are willing to work as AI/ML apprentices by applying their knowledge and know-how in the domain of AI/ML.
The team works on developing the CATIA workbench. Exploration and Development of Enhancements to CATIA functionalities.
They will be shouldered with the responsibility of building concepts, proposals and prototypes towards building the nextGen AI/ML suite of Computed Aided Design applications.

Responsibilities

Work closely with our AI/ML experts to understand and implement machine learning models.
Assist in collecting, cleaning, and preprocessing data for training and testing purposes.
Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems.
Support the development of algorithms for pattern recognition, natural language processing, and predictive modelling.
Learn and apply best practices in machine learning model evaluation and optimization.
Contribute to the design and implementation of experiments to test hypotheses and improve model performance.
Stay updated on the latest advancements in AI/ML and share knowledge within the team.

Qualifications

Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent practical experience).
Good analytical skills and reasoning abilities
Basic understanding of machine learning concepts and algorithms.
Proficiency in programming languages such as Python or R.
Use of pytorch, keras, pandas, numpy python libraries.
Data statistical analysis.
Strong analytical and problem-solving skills.
Eagerness to learn and stay updated on emerging trends in AI/ML.
Excellent communication and collaboration skills.
Prior coursework, projects, or internships related to AI/ML is a plus.
Understanding Design Software like CATIA will be a plus.