Lead AI Architect

2 days ago

Surat, Gujarat, India beBeeArtificialIntelligence Full time ₹ 10,00,000 - ₹ 15,00,000

About the Role

We're seeking a visionary Lead AI/ML Engineer to spearhead the design, development, and implementation of cutting-edge AI and machine learning models. As a senior technical leader, you'll guide a team of engineers to ensure the successful deployment of projects leveraging AI/ML technologies to solve complex problems.

Key Responsibilities:

  • Client Engagement: Collaborate with clients to understand their needs and develop tailored proposals that meet their requirements.
  • Solution Demonstrations: Conduct solution/product demonstrations, POC/Proof of Technology workshops, and prepare effort estimates aligned with customer budgets and organizational financial guidelines.
  • Model Oversight: Oversee the development and deployment of AI models, particularly 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: Leverage 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.

Requirements:

  • Skills: Hands-on expertise in NLP, Computer Vision, programming, and related concepts.
  • 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.
  • Technical Proficiency: Proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP, with tools such as TensorFlow, PyTorch, Spark, and Keras.
  • LLM 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.
  • 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 of IT experience: With a focus on AI/ML practices and background.

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