AI Architect

1 week ago


Bengaluru, Karnataka, India T D Newton Full time

Urgent requirement for AI Architect for Bangalore Location. Experience - 17-25 Yrs Job Location- Bangalore Job Description : Key responsibilities include : Solution Architecture and Technical Design : - Design and architect end-to-end AI solutions, including data pipelines, model development, deployment strategies, and integration with existing systems. - Define the technical components, services, and libraries required for AI projects, ensuring scalability, security, and performance. - Lead the selection of appropriate AI frameworks, tools, and platforms (e.g., TensorFlow, PyTorch, Databricks, Azure AI) to meet project requirements. Hands-On Development : - Actively participate in the development of AI models, writing code, building algorithms, and deploying models into production environments. - Collaborate with data scientists and software engineers to implement AI solutions that are robust, scalable, and efficient. - Ensure that the technical design is aligned with best practices for AI development, including the use of CI/CD pipelines, containerization (Docker, Kubernetes), and cloud deployment (Azure). Technical Leadership : - Provide technical guidance and mentorship to development teams, ensuring that they follow best practices in AI and software development. - Review code, design, and architecture to ensure that the solutions meet company high standards for quality and security. - Lead technical discussions in design and implementation phases, making critical decisions that impact the architecture and design of AI solutions. Component and Service Design : - Architect and design reusable components, microservices, and APIs that can be leveraged across multiple AI projects. - Develop and maintain libraries of reusable code, tools, and templates that accelerate AI development and ensure consistency across projects. - Ensure that all components are designed for integration with existing systems, supporting seamless data flow and interoperability. Research and Innovation : - Stay up-to-date with the latest advancements in AI, machine learning, deep learning, and cloud computing, bringing new ideas and technologies to the team. - Experiment with emerging AI technologies, such as Generative AI, Reinforcement Learning, and Neural Architecture Search, to identify their potential applications. - Lead the technical exploration of new AI use cases, developing prototypes and proof-of-concept solutions to validate their feasibility. Collaboration and Communication : - Work closely with stakeholders across company member firms to understand business needs and translate them into technical solutions. - Communicate complex technical concepts to non-technical stakeholders, ensuring that they understand the capabilities and limitations of AI technologies. - Collaborate with external partners, including technology providers and academic institutions, to drive innovation and knowledge sharing. Security and Compliance : - Architect AI solutions with a strong focus on security, ensuring that data privacy and protection are built into the design. - Implement compliance with industry standards and regulations (e.g., GDPR, ISO 27001), ensuring that AI solutions adhere to Company legal and ethical guidelines. Educational qualifications : - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - Advanced certifications in AI/ML, Cloud Computing, or Enterprise Architecture are highly desirable. Work experience : - 15 years of experience in software development, with at least 7 years focused on AI, machine learning, or related technologies. - Proven experience in architecting and implementing AI solutions, including hands-on development with frameworks like TensorFlow, PyTorch, Keras. - Extensive experience with cloud platforms, particularly Microsoft Azure, and expertise in deploying AI solutions in cloud environments. - Strong background in DevOps practices, including CI/CD pipelines, Docker, and Kubernetes. Skills : - Deep understanding of AI/ML algorithms, model development, and deployment strategies. - Proficiency in programming languages such as Python, Java, or C++, with a focus on AI/ML libraries and frameworks. - Strong problem-solving skills, with the ability to design and implement complex technical solutions. - Excellent communication skills, with the ability to lead technical discussions and collaborate with cross-functional teams. - Knowledge of enterprise architecture frameworks (TOGAF) and ITIL practices. (ref:hirist.tech)



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