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AI Developer Lead

2 weeks ago


Bengaluru, Karnataka, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 25,00,000
AI Development Expert

Job Overview:

We are seeking a seasoned AI development expert to join our team. As a key member, you will be responsible for designing, developing, and maintaining cutting-edge AI systems that drive innovation and growth.

Key Responsibilities:

  • Design and develop scalable, efficient, and reliable AI systems that support GenAI and machine learning-based applications and use cases.
  • Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance.
  • Collaborate with other stakeholders to integrate AI and ML models into production-ready systems.
  • Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems.
  • Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines.

Hard Requirements:

  • Senior backend engineer with a proven track record of owning the backend portion of projects.
  • Experience collaborating with product, project, and domain team members.
  • Strong understanding of data pipelines, architectures, and tools.
  • Proficiency in Python (ability to read, write, and debug Python code with minimal guidance).

Mandatory Skills:

  • Machine Learning: experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch.
  • Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask.
  • Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling.
  • Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch.
  • Data Science: experience working with data science tools.
  • Backend: experience with backend development, including design, development, and deployment of scalable and modular systems.
  • Artificial Intelligence: experience with AI concepts, including computer vision, robotics, and expert systems.
  • Pattern Recognition: experience with pattern recognition techniques, such as clustering, classification, and regression.
  • Statistical Modeling: experience with statistical modeling, including hypothesis testing, confidence intervals, and regression analysis.