Lead Developer

3 days ago

Tirupati, Andhra Pradesh, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About the Role

As a Lead AI/ML Engineer, you spearhead the development and implementation of advanced AI and machine learning models. Your role involves guiding a team of engineers ensuring the successful deployment of projects that leverage AI/ML technologies to solve complex problems.

Key Responsibilities
  • Client Interaction: 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 and financial guidelines.
  • Model Oversight: Oversee the development and deployment of AI models, especially those generating content such as text, images, or other media.
  • AI Solutions: 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.

Skill Requirements:

  • 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.
  • 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.
  • Deployment: Experience deploying AI/ML solutions as a service or REST API endpoints on Cloud or Kubernetes.

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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