Gen AI Architect

Job Role: Gen AI Architect

Required Exp: 12years

Key Responsibilities:

1.AI System Architecture: Design and develop the architecture and infrastructure for AI

systems including data storage processing and retrieval mechanisms. Ensure

scalability flexibility and efficiency of the system to handle large volumes of data and

complex algorithms.

2.Algorithm Development: Develop and implement advanced AI algorithms and

models including machine learning deep learning and neural networks.

Continuously evaluate and improve algorithms to enhance system performance and

accuracy.

3.Data Integration: Identify relevant data sources and design methods for data

collection integration cleansing and transformation. Collaborate with data scientists

and engineers to ensure quality and relevance of data for AI model training.

4.Model Training and Evaluation: Train AI models using supervised unsupervised or

reinforcement learning techniques. Implement evaluation methodologies to measure

the performance and effectiveness of trained models. Finetune models based on

feedback and data insights.

5.Neural Network Design: Design and optimize deep learning neural networks for

various AI tasks such as natural language processing computer vision

recommendation systems and predictive analytics. Implement stateoftheart

architectures and techniques to improve model accuracy and efficiency.

6.System Integration: Collaborate with software developers and engineers to integrate

AI systems into existing platforms or applications. Ensure seamless communication

and compatibility between AI components and other software modules.

7.Ethical and Responsible AI: Ensure adherence to ethical AI practices such as fairness

transparency and accountability. Address biases and potential risks associated with

AI systems to ensure responsible deployment and usage.

8.Research and Innovation: Stay updated with the latest advancements in AI

technologies frameworks and algorithms. Conduct research and experimentation to

explore new approaches and techniques that can enhance AI capabilities.

9.Collaboration and Communication: Collaborate with crossfunctional teams

including data scientists software engineers and business stakeholders to define AI

requirements and deliver AI solutions that meet business objectives. Communicate

complex AI concepts and solutions effectively to both technical and nontechnical

stakeholders.

Qualifications:

1.A Bachelor's or Master's degree in Computer Science Artificial Intelligence or

related field.

2.Proven experience in designing and developing AI systems including machine

learning deep learning and neural networks.

3.Strong programming skills in languages such as Python R or Java. Familiarity with AI

libraries frameworks and tools such as TensorFlow PyTorch or Keras.

4.Solid understanding of cloud computing platforms (e.g. AWS Azure Google Cloud)

and experience deploying AI models on these platforms.

5.Solid understanding of AI concepts algorithms and methodologies.

6.Knowledge of designing large scale AI solutions data integration cleansing and

transformation techniques.

7.Familiarity with big data platforms and technologies such as Hadoop or Spark.

8.Excellent problemsolving and analytical skills with the ability to think creatively and

provide innovative solutions.

9.Strong communication and collaboration skills to work effectively in multidisciplinary

teams.

10.Knowledge of ethical AI practices and regulations is a plus.