Project Role : Application Architect
Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests.
Must have skills : Manufacturing Operations
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : BE, BTECH

Project Role : Senior Industrial AI Architect Project Role Description : Responsible for designing, developing, and overseeing the implementation of artificial intelligence solutions within an organization. This role involves strategizing the use of AI to solve complex business challenges, ensuring the integration of AI systems with existing infrastructure, and leading initiatives to innovate and improve through AI technologies. Must have Skills : Domain knowledge in areas of Manufacturing Operations - Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science etc., SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements : Key Responsibilities : AI architects are responsible for designing data architectures that support the effective deployment of AI models. Involves everything from selecting appropriate data storage technologies, employing efficient data cleansing strategies, and designing data pipelines. 2. Deep understanding of AI and machine learning technologies such as deep learning frameworks, ML algorithms, cognitive computing and natural language processing (NLP) techniques 3. Ensure seamless integration of AI technologies with existing systems and databases, maintaining data integrity and system performance. 4. Continuously evaluate and refine AI systems, ensuring they deliver the desired outcomes and remain up-to-date with the latest technological advancements. Technical Experience : 1. Minimum of 14-18 years progressive information technology experience. 2. Significant experience in AI, machine learning, and data science, with a proven track record of successful AI implementations. 3. Deep understanding of AI technologies, algorithms, and computational statistics. 4. Proficiency in programming languages commonly used in AI, such as Python, R, and Java. along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). 5. Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI is a must. . 6. Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD. Professional Attributes : 1.Must have good communications skills and ability to manage the team members. Educational Qualification: BE, BTECH Additional Info :