Advanced AI Architect

6 days ago

Hyderabad Secunderabad Telangana, India beBeeArtificial Full time US$ 1,50,000 - US$ 2,00,000
Lead AI Researcher

We are seeking a highly skilled Lead AI Researcher to drive the design, development, and deployment of intelligent autonomous systems.

This cutting-edge role involves developing AI-powered agents leveraging large language models, reinforcement learning, and multi-agent systems. You will utilize frameworks like LangChain, AutoGen, and CrewAI within MLOps pipelines for scalable deployment.

Key Responsibilities:

  • Develop, train, and fine-tune machine learning and deep learning models.
  • Implement large language models, NLP, reinforcement learning, and computer vision models.
  • Optimize retrieval-augmented generation systems using vector databases like FAISS, Pinecone, and Chroma.
  • Work on multimodal AI systems integrating text, image, and audio processing.

Agentic AI Systems Development:

  • Build autonomous AI agents that can make decisions, learn from feedback, and interact with environments.
  • Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, and MetaGPT.
  • Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment.

Software Engineering & MLOps:

  • Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines.
  • Implement MLOps workflows for continuous training, monitoring, and model retraining.
  • Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing.

Ai Governance & Security:

  • Implement AI safety measures, including adversarial defense and bias mitigation.
  • Ensure compliance with AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles.
  • Secure AI agents against prompt injection, model poisoning, and adversarial attacks.

Required Skills & Qualifications:

  • Strong programming skills in Python, Java, or R.
  • Expertise in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
  • Experience with LLMs & NLP (Hugging Face, OpenAI API, BERT, GPT, Claude).
  • Proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen).
  • Knowledge of reinforcement learning algorithms (PPO, A3C, DDPG, SAC).
  • Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs.
  • Strong foundation in MLOps and cloud AI services (AWS, Azure AI, Google Vertex AI).
  • Strong analytical and problem-solving skills.
  • The ability to work effectively in a fast-paced, cross-functional team.
  • Excellent communication and documentation skills.
  • A Master's in Computer Science, AI, or Data Science is preferred.
  • Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer) are a plus.
  • Experience with autonomous systems, robotics, or digital twins is preferred.
  • A minimum of 5-7 years of similar or equivalent experience.

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