Senior Artificial Intelligence Engineer

2 days ago

Thāne, Maharashtra, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Be part of a visionary team pushing the boundaries of artificial intelligence. Our Senior Machine Learning Engineer will lead the development and deployment of cutting-edge AI/ML systems, with a strong focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent automation.Key Responsibilities:
  • AI & ML System Development
    • Design, develop, and optimize end-to-end ML models using LLMs, transformer architectures, and custom RAG frameworks
    • Fine-tune and evaluate generative and NLP models for business-specific applications such as conversational flows, auto-replies, and intelligent routing
    • Lead prompt engineering and build autonomous AI agents capable of executing multi-step reasoning
  • Infrastructure, Deployment & MLOps
    • Architect and automate scalable training, validation, and deployment pipelines using tools like MLflow, SageMaker, or Vertex AI
    • Integrate ML models with APIs, databases (vector/graph), and production services ensuring performance, reliability, and traceability
    • Monitor model performance in real-time, and implement A/B testing, drift detection, and re-training pipelines
  • Data & Feature Engineering
    • Work with structured, unstructured, and semi-structured data (text, embeddings, chat history)
    • Build and manage vector databases (e.g., Pinecone, Weaviate) and graph-based retrieval systems
    • Ensure high-quality data ingestion, feature pipelines, and scalable pre-processing workflows
  • Team Collaboration & Technical Leadership
    • Collaborate with product managers, software engineers, and stakeholders to align AI roadmaps with product goals
    • Mentor junior engineers and establish best practices in experimentation, reproducibility, and deployment
    • Stay updated on the latest in AI/ML (LLMs, diffusion models, multi-modal learning), and drive innovation in applied use cases
Required Qualifications:
  • Bachelor's/Master's degree in Computer Science, Engineering, AI/ML, or a related field from a reputable institution
  • 2+ years of experience building and deploying machine learning models in production
  • Expertise in Python and known frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn
  • Hands-on experience with transformer models, LLMs, LangChain, LangGraph, OpenAI API, or similar
  • Deep knowledge of machine learning algorithms, model evaluation, hyperparameter tuning, and optimization
  • Experience working with cloud platforms (AWS, GCP, or Azure) and ML Ops tools (MLflow, Airflow, Kubernetes)
  • Strong understanding of SQL, data engineering concepts, and working with large-scale datasets
Benefits:
  • Work on cutting-edge technologies like LLMs, RAG, and AI agents in real production environments
  • High ownership, fast iterations, and impact-focused work
  • Join a talented team of professionals who share your passion for AI and innovation

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