Advanced Machine Learning Strategist

4 days ago


Coimbatore, Tamil Nadu, India beBeeArtificial Full time

About the Job

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As a Lead AI/ML Engineer, you spearhead the design, 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.

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Required Skills

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  • 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.
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Qualifications

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  • 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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