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Senior Machine Learning Engineer

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AI Architect Lead

We are seeking a seasoned AI architect to design and develop cutting-edge agentic workflows.

  • Key Responsibilities:

    • Design and optimize domain adaptive agentic AI systems to automate business processes.

    • Fine-tune large-scale pre-trained models using techniques like PEFT and SFT for specific applications and domains.

    • Develop prompts with Chain of Thought and Few Shot to enhance model responses, ensuring that model outputs align with use case requirements.

    • Built end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.

  • Requirements:

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

    • Proven track record in working with LLMs such as Llama and models like GPT and BERT.

    • 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 and CrewAI.

  • 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).