Machine Learning Innovation Leader

3 days ago

Ajmer, Rajasthan, India beBeeEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Machine Learning Engineer

Job Description:

We are seeking a skilled Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI/ML systems with a strong focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation.

  • 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.

Requirements

To succeed in this role, you should have:

  • A 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.

Nice to Have

  • Prompt tuning, agentic AI systems, or multi-modal learning.
  • Familiarity with vector search systems (e.g., Pinecone, FAISS, Milvus) and knowledge graphs.
  • Contributions to open-source AI/ML projects or publications in AI journals/conferences.
  • Experience in building conversational AI or smart assistants using WhatsApp or similar messaging APIs.

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