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Architect

Architect

Infosys

10 - 16 years

14 - 22 Lacs

Pune Chennai Bengaluru

Posted:14 hours ago| Platform:

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Skills Required

Generative Ai Architecture Azure Cloud Cloud Big Data Machine Learning AWS

Work Mode

Hybrid

Job Type

Full Time

Job Description

We are seeking a highly skilled and experienced Senior Architect/Consultants to lead our Generative AI Technologies team. The ideal candidate will have a deep understanding of Generative AI, machine learning, and related technologies, along with a proven track record of architecting and implementing innovative solutions. As a Senior Architect/Consultant, you will play a pivotal role in shaping our Generative AI strategy, selecting appropriate models and technologies, and collaborating with cross-functional teams to deliver cutting-edge solutions that meet customer requirements and business objectives.

Primary Skill Set:

Generative AI Expertise:
In-depth knowledge of various Generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. Experience with both image and text generation is essential. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design.
Responsible AI:
Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives.
Machine Learning Mastery:
Profound understanding of machine learning principles, algorithms, and frameworks. Able to design and implement models, optimize performance, and manage training pipelines effectively.
Technical Proficiency:
Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools. Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing is advantageous.
Architecture Design:
Ability to design end-to-end Generative AI architectures that encompass data preprocessing, model selection, training pipelines, and deployment strategies. Strong grasp of scalable, reliable, and efficient system design.

Secondary Skill Set:

Domain Knowledge:
Familiarity with the specific industry domain or vertical in which the Generative AI solutions will be applied (e.g., healthcare, finance, entertainment) is beneficial. This enables contextual understanding and tailored solution development.
Data Engineering:
Understanding of data engineering practices, data pipelines, and data management. Proficiency in data preprocessing, cleansing, and transformation for effective model training.

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Infosys

IT Services and IT Consulting

Bangalore Karnataka

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