AI Innovation Engineer

4 days ago

Hyderabad, Telangana, India beBeeArtificial Full time ₹ 18,00,000 - ₹ 25,00,000

Artificial Intelligence Specialist

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  • We are seeking a highly skilled and self-reliant AI Developer with a strong background in Python and a minimum of 3 years' experience in AI/ML development. The ideal candidate will be responsible for designing, developing, and deploying intelligent AI agents from scratch without relying on third-party AI libraries or external platforms. You will work closely with our product and engineering teams to create robust, scalable, and efficient AI-driven solutions.
  • Key Responsibilities:
    • Design, develop, and implement AI agents and machine learning models without using third-party tools (e.g., LangChain, AutoGPT, etc.).
    • Build custom algorithms and pipelines for data processing, decision-making, and interaction logic.
    • Write clean, efficient, and well-documented Python code for AI and ML model development.
    • Develop, train, and evaluate models for NLP, decision trees, reinforcement learning, or agent-based systems, as applicable.
    • Integrate AI components with existing systems and APIs.
    • Optimize models and systems for performance, reliability, and scalability.
    • Conduct experiments, analyze results, and iterate on design and functionality.
    • Stay up to date with advances in AI research and best practices in agent architecture.
    • Collaborate with cross-functional teams including data engineers, product managers, and backend developers.
  • Required Skills and Qualifications:
    • 3+ years of hands-on experience in AI/ML development using Python.
    • Strong understanding of machine learning, NLP, and reinforcement learning principles.
    • Proven experience building AI systems or agents without relying on third-party orchestration libraries.
    • Excellent coding skills in Python, including OOP, data structures, and design patterns.
    • Solid experience in algorithm development, statistical modeling, and model evaluation.
    • Proficient with numerical and scientific computing tools like NumPy, Pandas, Matplotlib, etc.
    • Experience with model training frameworks (optional: TensorFlow, PyTorch – only if used for raw model development).
    • Strong analytical and problem-solving skills.

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