Job Title: Data Scientist- (AI/ML)
Location: Pan India
Experience: 5-8 Years
Work mode: Remote
Job Summary:
As an Data Scientist- (AI/ML), you will play a crucial role in designing, developing, and deploying AI systems. Your work will involve translating complex data into AI-driven solutions that can operate autonomously in real-time environments. You'll be responsible for writing code, deploying models to production, and continuously monitoring and updating them as needed.
Technical Skills:
- Algorithm Development: Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence process
- Model Creation: Develop and validate algorithms, neural networks, and other machine learning models.
- Generative AI: Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music.
- Machine Learning: Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation.
- Natural Language Processing (NLP): Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT.
- Data Management : Handle data pre-processing, augmentation, and synthetic data generation.
Hard Skills:
- Advanced Programming: Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras.
- Generative Models: Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
- NLP: Familiarity with NLP techniques for text generation.
- Data Management: Knowledge of data pre-processing, augmentation, and synthetic data generation.
Hard Skills:
- Creativity: Ability to think creatively and solve complex, creative challenges using AI.
- Collaboration: Work effectively with researchers, engineers, and other team members.
- Continuous Learning : Stay updated with evolving AI technologies and applications.
Certifications Needed:
- Bachelor’s or master’s degree in computer science, Artificial Intelligence, or related fields.
- Proven experience in machine learning, generative AI,