AI Solutions Architect

4 days ago

Pune, Maharashtra, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,20,00,000

Job Summary

We are seeking an experienced Associate Architect - Machine Learning to join our team, focusing on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), and applying related generative AI techniques.

Roles and Responsibilities

  • Design, develop, and optimize domain adaptive agentic AI systems to automate business processes.
  • Fine-tune large-scale pre-trained models with techniques like PEFT, SFT, and adapt them for specific applications and domains, evaluating and optimizing for performance, accuracy, and efficiency.
  • Design prompts using techniques like Chain of Thought and Few Shot to enhance model responses, ensuring model outputs 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, including data scientists, software engineers, and product managers, 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 to ensure the organization remains at the forefront of technology.
  • Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
  • Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Skill Set Required

Experience

  • Minimum 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 model 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.

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