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AI Architect Position

AI Architect Position

beBeeArtificialIntelligenceKakinada, India
2 days ago
Job description

About this Role

We are seeking a highly skilled Senior AI Solutions Architect to spearhead the design, development and implementation of advanced AI and machine learning models.

As part of our team, you will guide a group of engineers ensuring the successful deployment of projects that leverage AI / ML technologies to solve complex problems.

Main Responsibilities :

  • Client Collaboration : Discuss client requirements and develop proposals tailored to their needs.
  • Demonstrations and Workshops : Conduct solution / product demonstrations, POC / Proof of Technology workshops, and prepare effort estimates in line with customer budgets.
  • Model Oversight : Oversee the development and deployment of AI models, especially those generating content such as text, images or other media.
  • AI Solutions Development : Engage in coding, designing, developing, implementing and deploying advanced AI solutions.
  • Expertise Utilization : Utilize your expertise in NLP, Python programming, LLMs, Deep Learning and AI principles to drive the development of transformative technologies.
  • Leadership and Initiative : Actively lead projects and contribute to both unit-level and organizational initiatives to provide high-quality, value-adding solutions to customers.
  • Strategic Development : Develop value-creating strategies and models to help clients innovate, drive growth and increase profitability.
  • Technology Awareness : Stay informed about the latest technologies and industry trends.
  • Problem-Solving and Collaboration : Employ logical thinking and problem-solving skills, and collaborate effectively.
  • Client Interfacing : Demonstrate strong client interfacing skills.
  • Project and Team Management : Manage projects and teams efficiently.

Required Skills :

  • Hands-on Expertise : Proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP, with tools such as TensorFlow, PyTorch, Spark and Keras.
  • Leadership : Capable of leading and mentoring a team of AI engineers and researchers, setting strategies for AI model development and deployment, and ensuring these align with business goals.
  • LARGE LANGUAGE MODEL Experience : Experience with Large Language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral, etc. along with experience in LLM integration frameworks like LangChain, Llamaindex, AgentGPT, etc.
  • Deep Learning OCR : Extensive experience implementing solutions using Deep Learning OCR algorithms.
  • Neural Networks : Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and Generative Adversarial Networks (GANs).
  • Python Expertise : Strong coding skills in Python, including related frameworks, best practices and design patterns.
  • Preferred Knowledge : Familiarity with word embeddings, transformer models and image / text generation and processing.
  • Deployment : Experience deploying AI / ML solutions as a service or REST API endpoints on Cloud or Kubernetes.
  • Development Methodologies : Proficient in development methodologies and writing unit tests in Python.
  • Cloud : Knowledge of cloud computing platforms and services, such as AWS, Azure or Google Cloud.
  • Information Security : Experience with information security and secure development best practices.
  • Qualifications :

  • Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics or a related field.
  • 8+ years in IT with a focus on AI / ML practices and background.
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