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RandomTrees - Artificial Intelligence Architect / Senior Artificial Intelligence Engineer

RandomTrees - Artificial Intelligence Architect / Senior Artificial Intelligence Engineer

RANDOMTREES PRIVATE LIMITEDChennai
2 days ago
Job description

Description :

Random Trees seeking an experienced AI Architect / Senior AI Engineer to lead the design, development, and deployment of advanced AI / ML solutions.

The ideal candidate will have strong expertise in Machine Learning, Deep Learning, NLP, Generative AI, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Lang Chain, and MLOps.

Proficiency in Python and SQL is essential.

This role requires a mix of hands-on technical expertise, solution architecture, and leadership to deliver scalable and business-driven AI solutions.

Key Responsibilities :

  • Design and architect end-to-end AI / ML solutions aligned with business goals.
  • Develop and integrate Machine Learning, Deep Learning, and NLP models into production environments.
  • Architect and implement LLM-based solutions including RAG pipelines, prompt engineering, fine-tuning, and LangChain frameworks.
  • Collaborate with data engineers to build data pipelines, ensure data quality, and optimize SQL-based data processing.
  • Drive adoption of Generative AI applications across use cases such as chatbots, summarization, recommendation engines, and content generation
  • Experience with Agentic AI frameworks for building autonomous and goal-driven AI agents.
  • Establish and implement MLOps best practices for model lifecycle management, CI / CD, monitoring, retraining, and scalability.
  • Evaluate emerging AI / ML frameworks and tools and provide recommendations for adoption.
  • Partner with stakeholders to translate business requirements into AI / ML architectural blueprints.
  • Ensure compliance with AI governance, security, and ethical AI practices.
  • Mentor and guide engineering teams on AI / ML solution design, coding standards, and deployment strategies.

Required Skills & Qualifications :

  • Bachelors or masters degree in computer science, Data Science, AI / ML, or related field.
  • 7+ years of experience in AI / ML with proven solution architecture expertise.
  • Strong hands-on experience in Machine Learning, Deep Learning (TensorFlow, PyTorch, Keras), and NLP (Hugging Face, spaCy, NLTK).
  • Expertise in Generative AI, LLMs (GPT, LLaMA, Claude, etc.), RAG, and LangChain.
  • Proficiency in Python (NumPy, Pandas, Scikit-learn, FastAPI / Flask) and SQL.
  • Experience with Agentic AI frameworks for building autonomous and goal-driven AI agents.
  • Strong experience in MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI / CD pipelines).
  • Knowledge of cloud platforms (AWS, Azure, GCP) and their AI / ML services.
  • Experience in vector databases (Pinecone, Weaviate, FAISS, Milvus) for RAG and LLM applications.
  • Familiarity with data governance, model explainability, bias detection, and responsible AI practices.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Good to Have :

  • Experience in multi-modal AI (text, image, video, audio).
  • Exposure to Graph Neural Networks (GNNs), reinforcement learning, or time-series forecasting.
  • Prior experience in leading AI CoEs (Centers of Excellence) or enterprise-scale AI transformations.
  • Contributions to open-source AI / ML (ref : hirist.tech)
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