Data Scientist

Roles & Responsibilities:

• Proficiency in machine learning algorithms and frameworks, with specific expertise in LLMs such as BERT, ROBERTA, XLNet, GPT, and LLama.
• Extensive knowledge of Natural Language Processing (NLP) techniques and methodologies.
• Familiarity with deep learning fundamentals, including LSTM, CNN, and RNN architectures.
• Hands-on experience in developing and deploying machine learning models using frameworks like Flask or Django.
• Ability to analyze and preprocess large datasets efficiently.
• Strong problem-solving skills and the ability to work independently or collaboratively in a team environment.
• Excellent communication skills to articulate complex technical concepts effectively.
• Keen interest in staying updated with the latest advancements in machine learning and artificial intelligence.
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.
• Prior experience in implementing scalable and efficient machine learning solutions would be advantageous.
• Proficiency in deep learning fundamentals, with expertise in neural network architectures such as CNN, MobileNet, InceptionNet, VGG16, etc.
• Extensive knowledge of image processing techniques, including segmentation and feature extraction.
• Hands-on experience in developing and deploying deep learning models using TensorFlow and PyTorch libraries.
• Familiarity with object detection algorithms like YOLO and object and instance segmentation methods.
• Ability to process and analyze video data to derive meaningful insights and patterns.

Requirements:

• Strong problem-solving skills and the ability to optimize and fine-tune deep learning models for performance and efficiency.
• Excellent understanding of computer vision principles and techniques.
• Effective communication skills to collaborate with cross-functional teams and stakeholders.
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.
• Prior experience in implementing scalable and efficient deep learning solutions for real- world applications would be advantageous.

Application

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SHORTLISTING

A recruiter/technical panel will screen your application and if your credentials match with our requirement, we will contact you for further details

TECHNICAL INTERVIEW

The technical interview is a golden opportunity for you to exhibit your technical skills. The questions would range across disciplines and may include puzzle, problems and other out-of-the-box questions.

HR INTERVIEW

Here is our chance to get to know each other better. We try to understand your career goals, skills, strengths, passion etc. You can quiz the recruiter anything you would like to know about the organization

Offer roll-out

Finally, if you are successful, an offer is rolled out along with compensation structure and other rules related to employment at Youngmings