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1 Vacancy
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.
Full Time