AI Innovation Leader

1 day ago

Jodhpur, Rajasthan, India beBeeMachineLearning Full time ₹ 2,25,60,000 - ₹ 3,01,20,000

Job Overview:

We are seeking an experienced AI Architect to lead the development of innovative agentic AI systems. This individual will be responsible for designing, building, and optimizing domain-adaptive agentic workflows to automate business processes.

  • Agentic AI Development: Design and develop agentic AI systems using machine learning techniques to automate business processes.
  • Large Language Model (LLM) Fine-Tuning: Work with large-scale pre-trained models to fine-tune using techniques like PEFT, SFT, and adapt them for specific applications and domains.
  • Prompt Engineering: Design prompts using techniques like Chain of Thought and Few Shot to enhance model responses and ensure model outputs align with use-case requirements.
  • AI Workflow Automation: Build end-to-end workflows for AI solutions from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
  • Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.
  • Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure the organization stays at the forefront of technology.
  • Scaling and Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
  • Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Requirements:

Experience: Minimum 5+ years of hands-on experience in machine learning and AI engineering.

Technical Skills:

  • Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
  • Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
  • Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
  • Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.
  • Familiarity with SDLC life cycle, data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git).

Soft Skills:

  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities to collaborate with stakeholders.
  • Ability to work independently and drive projects to completion with minimal supervision.

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