Job Summary:
We are seeking a skilled Generative AI Engineer with 4-5 years of hands-on experience in designing, developing, and deploying AI-driven solutions. The ideal candidate will have expertise in generative AI technologies, such as large language models (LLMs), generative adversarial networks (GANs), and transformer-based architectures. This role involves working on cutting-edge AI applications to solve complex problems and create innovative solutions across various domains.
Key Responsibilities
- Model Development and Deployment:
Design, fine-tune, and deploy generative AI models (e.g., GPT, GANs, VAEs) for tasks such as text generation, image synthesis, or conversational AI.
- Data Preparation:
Preprocess and manage large datasets for training models, including data augmentation and synthetic data generation.
- Algorithm Optimization:
Optimize model performance for scalability and efficiency using advanced machine learning techniques.
- Integration and Collaboration:
Work closely with cross-functional teams to integrate generative AI solutions into existing systems and products.
- Prototyping and Testing:
Build prototypes to test new ideas or applications of generative AI technologies.
- Research and Innovation:
Stay updated on advancements in AI research and implement cutting-edge techniques to enhance existing systems.
- Ethical AI Practices:
Ensure fairness, transparency, and compliance with ethical standards in all AI development processes.
Required Skills and Qualifications
Technical Skills
- Proficiency in programming languages such as Python, with experience using frameworks like TensorFlow, PyTorch, or Keras.
- Hands-on experience with LLMs (e.g., GPT, BERT), GANs, VAEs, or similar generative models.
- Familiarity with vector databases (e.g., Pinecone, Qdrant) for efficient data retrieval.
- Knowledge of NLP techniques for tasks like text summarization, question answering, or sentiment analysis.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
- Strong understanding of machine learning algorithms and statistical methods.
Soft Skills
- Excellent problem-solving abilities and analytical thinking.
- Strong communication skills to collaborate effectively with team members and stakeholders.
- A creative mindset to explore innovative applications of generative AI technologies.
Education
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A Master’s degree is preferred but not mandatory.
Preferred Qualifications
- Experience with frameworks like LangChain or LlamaIndex for building generative AI applications.
- Knowledge of MLOps/LLMOps best practices for managing AI pipelines.
- Prior experience in domains such as healthcare, mobility, or content creation is a plus.
- Contributions to open-source projects or publications in the field of AI are highly valued.
Why Join Us?
We offer a dynamic work environment where innovation thrives. As part of our team, you will:
- Work on groundbreaking projects that push the boundaries of generative AI.
- Have access to continuous learning opportunities through training programs and certifications.
- Enjoy competitive compensation packages along with comprehensive benefits.
If you are passionate about leveraging generative AI to create transformative solutions and ready to take on exciting challenges in a fast-paced environment, we encourage you to apply!