Deloitte is hiring for A&A-Data Scientist-AI Pod Role. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.
About Deloitte
Deloitte is a multinational professional services firm that provides a range of services including audit, consulting, financial advisory, risk management, and tax services. Founded in 1845, Deloitte has grown to become one of the largest professional services firms in the world, with a presence in over 150 countries. Deloitte’s clients range from small businesses to some of the largest multinational corporations, and the firm is known for its expertise in areas such as technology, strategy, and human capital. With a strong commitment to innovation and social responsibility, Deloitte has established itself as a trusted advisor and a leader in the professional services.
Deloitte Recruitment 2023
| Company name | Deloitte |
| Website | www.Deloitte.com |
| Job Role | A&A-Data Scientist-AI Pod |
| Work Location | Bengaluru, India |
| Job Type | Full Time |
| Experience | Freshers/ Experienced |
| Qualification | Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics) |
| Batch | Not Mentioned |
| Package | INR 8 – 16 LPA(Expected) |
Job Description
Deloitte is currently in the process of recruiting for the position of A&A-Data Scientist-AI Pod.
Role Responsibilities:
- Design, evaluate, and implement machine learning/AI models.
- Collaborate closely with data science managers and senior data scientists for mentorship, feedback, and skill development while aligning with project objectives.
- Contribute actively to project planning and prioritization of tasks.
- Participate in internal dialogues concerning emerging machine learning techniques.
Qualifications:
- Bachelor’s degree in a quantitative field (like computer science, engineering, mathematics, physics, machine learning, statistics).
- Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Academic background in machine learning, deep learning, and programming.
- Basic understanding of LLMs (Language Model Models) and prompt engineering.
- Practical experience applying machine learning frameworks like TensorFlow, PyTorch, OpenAI, and LangChain.
- Demonstrated capability in producing high-quality code.
- Proven ability to develop machine learning models.
- Strong written and verbal communication abilities.
How to Apply?
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- Enter your personal details and any other information requested by the company in the application portal.
- Pay close attention to the instructions provided and fill out all necessary fields accurately and completely.
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- Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
- Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.