Gen AI Architect

Work Location: Hyderabad/Bangalore/Chennai

What Gramener offers you

Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use.

Roles and Responsibilities

The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. This individual will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation.

Skills and Qualifications

AI System Design and Architecture:

• Lead the design and development of scalable, high-performance generative AI systems.
• Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment.
• Ensure seamless integration of AI systems into existing platforms, enhancing business functionality.

Generative AI Model Development:

• Lead the design and development of generative AI models, including but not limited to transformers and Large Language Models (LLMs).
• Collaborate with research teams to keep the organization at the forefront of AI advancements.

AI Strategy & Innovation:

• Stay up-to-date with the latest advancements in generative AI research and technology.
• Drive innovation in AI strategies, recommending tools, techniques, and approaches to improve performance and capabilities continually.
• Contribute to the development of AI strategies that align with organizational goals and objectives.

Experience:

• Proven experience in AI/ML model development, with a focus on generative models such as LLM, transformers.
• Strong experience in MLOps.
• Strong experience designing and deploying scalable AI architectures in the cloud environments (AWS/Azure/GCP).
• Experience with AI frameworks and libraries such as Tensor Flow PyTorch.
• Experience with data engineering and pre-processing for generative models.
• Deep understanding of deep learning, reinforcement learning, unsupervised learning, and Natural Language Processing (NLP).
• Proficiency in Python and other relevant programming languages.
• Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.

About us

We help consult and deliver solutions to organizations where data acts as the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data-driven decision making. It helps organizations to convert data into a strategic differentiator. Through a host of our product and Solutions, and Service Offerings, we analyze and visualize large amounts of data.

To know more about us visit Gramener Website and Gramener Blog.