Machine Learning Architect

1 day ago


Ahmedabad, Gujarat, India beBeeArtificial Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Title: Artificial Intelligence Specialist

We are seeking an experienced professional to lead the development of agentic AI workflows, fine-tune Large Language Models (LLMs), and apply related generative AI techniques.

Key Responsibilities:
  • Design, develop, and optimize domain adaptive agentic AI systems that automate business processes.
  • Fine-tune large-scale pre-trained models with techniques like PEFT, SFT, and adapt them for specific applications and domains.
  • Develop prompts using Chain of Thought, Few Shot, and other techniques to enhance model responses and ensure they align with use case requirements.
  • Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
  • Collaborate with cross-functional teams to define AI product requirements and deliver innovative solutions.
  • Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields.
  • Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
Requirements:
  • 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.
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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