Data Science Lead- AI/ML

The Role:

As an Artificial Intelligence Engineer, 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.

Key Responsibilities:

• Algorithm Development: Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes.
• 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.

Skills Required:

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.

Soft 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.

Qualifications & Experience:

• 7+ years of experience
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields.
• Proven experience in machine learning and generative AI.