Senior AI Model Developer

1 day ago


Davangere, Karnataka, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Description

As a senior member of our AI team, you will spearhead the design and development of cutting-edge AI models. Your role involves guiding a team of engineers to ensure successful project deployment that leverages AI technologies to solve complex business problems.

  • Client Collaboration: Discuss client requirements and develop tailored proposals to meet their needs.
  • Solution Demonstrations: Conduct solution/product demonstrations, POC/Proof of Concept 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: 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.

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.
  • Technical Proficiency: Proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP, with tools like TensorFlow, PyTorch, Spark, and Keras.
  • LLM Experience: Experience with Large Language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral, 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.

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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