Key Responsibilities
**
- Design, develop, and implement cutting-edge generative AI models using techniques such as GANs, VAEs, and reinforcement learning.
- Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
- Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
- Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques into the team's workflow.
- Develop and maintain clear documentation of generative AI models, processes, and results.
- Communicate complex concepts and results to technical and non-technical stakeholders.
- Provide support and guidance to team members and contribute to a positive working environment.
- Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI.
- Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability.
**
Qualifications Required
**
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models.
- Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
- Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.).
- Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning.
- Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies.
- Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team.
- Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
- Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI.
- Experience with cloud deployments, containerization, and orchestration of AI models. As an AI & Generative AI Developer at our company, your role will involve working closely with a team of data scientists, machine learning engineers, and researchers to develop cutting-edge generative AI models and applications. You will be responsible for designing, implementing, and optimizing generative LLM and foundational models for various verticals such as Banking, Retail, Communication, and more. The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and pushing the boundaries of generative AI technologies.
**
Key Responsibilities
**
- Design, develop, and implement cutting-edge generative AI models using techniques such as GANs, VAEs, and reinforcement learning.
- Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
- Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
- Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques into the team's workflow.
- Develop and maintain clear documentation of generative AI models, processes, and results.
- Communicate complex concepts and results to technical and non-technical stakeholders.
- Provide support and guidance to team members and contribute to a positive working environment.
- Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI.
- Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability.
**
Qualifications Required
**
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models.
- Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
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