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Madurai, Tamil Nadu, India beBeeGenerative Full time ₹ 2,01,60,000 - ₹ 2,58,00,000

We are seeking a highly skilled Machine Learning Architect to join our organization. The successful candidate will play a crucial role in designing and developing domain-adaptive agentic AI systems that automate business processes with minimal human intervention.

Key Responsibilities
  • Agentic AI Development: Design and develop agentic AI workflows, fine-tuning Large Language Models (LLMs), and applying related generative AI techniques.
  • LLM Fine-Tuning: Work with large-scale pre-trained models to fine-tune them with techniques like PEFT, SFT, and adapt them for specific applications and domains. Evaluate and optimize performance, accuracy, and efficiency.
  • Prompt Engineering: Design prompts using techniques like Chain of Thought, Few Shot to enhance model responses, ensuring 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: 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.
Requirements
  • Experience: 5+ years of hands-on experience in machine learning and AI engineering.
  • Proven track record in working with LLMs such as Llama, Mistral, and models like GPT, BERT, T5, or similar.
  • Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
  • Strong experience in prompt engineering to optimize AI models performance.
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.