Job Summary:

We are seeking a highly skilled and experienced Generative AI Architect to join our AI/ML Engineering team. The ideal candidate will have a strong background in generative AI technologies and a proven track record of designing and implementing AIsolutions that drive business value. This role requires a deep understanding of machine learning algorithms, data modeling, and software architecture, along with the ability to collaborate effectively with cross functional teams.

Responsibilities:

Design and develop generative AI models and frameworks that meet business requirements.

Lead the architecture and implementation of AI solutions, ensuring scalability, reliability, and performance.

Collaborate with data scientists, engineers, and product managers to define project scope and deliverables.

Conduct research on emerging generative AI technologies and assess their applicability to our projects.

Provide technical guidance and mentorship to junior team members.

Evaluate and recommend tools, technologies, and processes to enhance AIcapabilities.

Document architectural designs, processes, and best practices for generative AIimplementations.

Participate in code reviews and ensure adherence to coding standards and best practices.

Mandatory Skills:

Extensive experience in generative AI technologies, including but not limited to GANs, VAEs, and transformer models.

Strong proficiency in programming languages such as Python, Java, or C++.

Deep understanding of machine learning frameworks such as TensorFlow, PyTorch, or Keras.

Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and their AI/ML services.

Proven ability to design and implement scalable AI architectures.

Strong analytical and problem-solving skills.

Preferred Skills:

Experience with natural language processing (NLP) and computer vision applications.

Familiarity with data engineering and ETL processes.

Knowledge of DevOps practices and CI/CD pipelines for AI model deployment.

Experience in working with large datasets and big data technologies.

Strong communication skills and ability to present complex technical concepts to non technical stakeholders.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

10 15 years of experience in AI/ML engineering, with a focus on generative AI.

Proven experience in leading AI projects from conception to deployment.

Strong portfolio of successful generative AI implementations.

If you are passionate about generative AI and want to be part of a dynamic team that is shaping the future of technology, we encourage you to apply.