AI Solutions Developer

7 days ago

Hubli, Karnataka, India beBeeArtificialIntelligence Full time ₹ 25,00,000 - ₹ 50,00,000

About the Role

This position involves spearheading the development and implementation of advanced AI solutions.

  • You will work closely with stakeholders to understand business needs and drive innovation in AI technology.
  • Responsibilities include optimizing model performance, conducting rigorous testing, and staying up-to-date with industry trends.
Key Responsibilities
  • Client Interaction: Engage with clients to discuss their requirements and develop proposals tailored to their needs.
  • Solution Demonstrations: Conduct solution demonstrations, workshops, and prepare effort estimates aligned with customer budgets and organizational financial guidelines.
  • Model Oversight: Oversee the development and deployment of AI models, focusing on content generation such as text, images, or other media.
  • Advanced AI Solutions: Design, develop, implement, and deploy cutting-edge AI solutions using NLP, Python programming, LLMs, Deep Learning, and AI principles.
  • Leadership and Initiative: 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 with team members.
  • Project and Team Management: Manage projects and teams efficiently, ensuring successful project delivery.
Required Skills and Qualifications
  • NLP and Computer Vision Expertise: Possess hands-on experience in NLP and Computer Vision concepts, including related tools and frameworks.
  • Leadership: Demonstrate leadership capabilities, including mentoring a team of AI engineers and researchers, and setting strategies for AI model development and deployment that align with business goals.
  • Technical Proficiency: Be proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP, with tools such as TensorFlow, PyTorch, Spark, and Keras.
  • LLM Experience: Have experience with Large Language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral, etc., along with knowledge of LLM integration frameworks like LangChain, Llamaindex, AgentGPT, etc.
  • Deep Learning OCR: Possess extensive experience implementing solutions using Deep Learning OCR algorithms.
  • Neural Networks: Have working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).
  • Python Expertise: Be proficient in Python programming, including related frameworks, best practices, and design patterns.
  • Preferred Knowledge: Familiarity with word embeddings, transformer models, image/text generation and processing.
  • Deployment: Have experience deploying AI/ML solutions as a service or REST API endpoints on Cloud or Kubernetes.
  • Development Methodologies: Be proficient in development methodologies and writing unit tests in Python.
  • Cloud: Possess knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud.
  • Information Security: Have 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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