Senior Artificial Intelligence Specialist

3 days ago

Agra, Uttar Pradesh, India beBeeEngineering Full time ₹ 1,50,00,000 - ₹ 2,01,00,000
Job Description

As a Lead Engineer, you will spearhead the design, development, and implementation of cutting-edge AI and Machine Learning models.

Key Responsibilities:

  • Client Interaction: Discuss client requirements and develop tailored proposals.
  • Demonstrations and Workshops: Conduct solution demonstrations, workshops, and prepare effort estimates aligned with customer needs.
  • Model Oversight: Oversee the development and deployment of AI models, especially those generating content.
  • AI Solutions: Engage in coding, designing, developing, implementing, and deploying advanced AI solutions using NLP, Python programming, LLMs, Deep Learning, and AI principles.
  • Expertise Utilization: Drive the development of transformative technologies by utilizing expertise in NLP, Python, LLMs, Deep Learning, and AI principles.
  • Leadership and Initiative: Actively lead projects and contribute to 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.
Required Skills and Qualifications

Required 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 in IT with a focus on AI/ML practices and background.

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