EY-GDS Consulting-D And A-Campus

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Job Description: Campus Hires for Data Scientist / Machine Learning Engineer

Role Overview: We are seeking a highly talented with strong academic credentials in Data Science specialization areas. Good exposure to Data science life cycle with academic project experience on how to examine, statistically interpret, and derive meaningful insights from large sets of data.

In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyse data, and creating a solution using machine-learning algorithm or predictive model for data analysis. You will play a key role in the development and implementation of AI solutions, leveraging your technical expertise.

The ideal candidate should have a deep understanding of AI technologies and latest trends and cutting-edge AI models capabilities.

Responsibilities:
Your technical responsibilities:

• Contribute to the design and build of state-of-the-art AI solutions.
• Effective Communication with stakeholders to define and implement AI project goals.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs.

Requirements:

• Bachelor or Master Degree in Engineering (or equivalent) with specialization to Data Science or AI/ML, Statistics, Economics, or related fields.
• Minimum one academic project in Data Science and Machine Learning.
• Excellent track record in each semester
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.

Good to Have Skills:

• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Exposure to any of the AI cloud platforms
• Excellent track record on participation to various AI forums (internal or external)
• Strong credentials with good coding standard followed in Git repository.

Job Description: Intern for Data Scientist / Machine Learning Engineer
Role Overview: We are seeking a highly talented with strong academic credentials in Data Science specialization areas. Good exposure to Data science life cycle with academic project experience on how to examine, statistically interpret, and derive meaningful insights from large sets of data.

In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyse data, and creating a solution using machine-learning algorithm or predictive model for data analysis. You will play a key role in the development and implementation of AI solutions, leveraging your technical expertise.

The ideal candidate should have a deep understanding of AI technologies and latest trends and
cutting-edge AI models capabilities.

Responsibilities:
Your technical responsibilities:

• Contribute to the design and build of state-of-the-art AI solutions.
• Effective Communication with stakeholders to define and implement AI project goals.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs.

Requirements:

• Bachelor or Master Degree in Engineering (or equivalent) with specialization to Data Science or AI/ML, Statistics, Economics, or related fields.
• On Last Semester or 2nd last Semester.
• Excellent track record in each semester
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.

Good to Have Skills:

• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Exposure to any of the AI cloud platforms
• Excellent track record on participation to various AI forums (internal or external)
• Strong credentials with good coding standard followed in Git repository.

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