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VAYUZ Technologies
Lead ML EngineerVAYUZ Technologies • Thane, Maharashtra, India
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Lead ML Engineer

Lead ML Engineer

VAYUZ Technologies • Thane, Maharashtra, India
11 days ago
Job description

Job Summary

We are looking for an experienced ML Engineer / MLOps Engineer with strong expertise in building and deploying Large Language Model (LLM) applications in production environments. The ideal candidate will have hands-on experience in developing scalable AI systems, implementing RAG architectures, and ensuring performance, security, and reliability of LLM-based solutions.


Key Responsibilities

  • Production Application Development
  • Lead the end-to-end lifecycle of LLM applications, transforming prototypes into scalable, reliable, and production-ready systems.
  • LLM API Integration & Orchestration
  • Design and implement integrations with LLM APIs (e.g., OpenAI, Anthropic, internal models) with a focus on performance, cost optimization, and reliability.
  • Prompt Engineering & Optimization
  • Develop and refine advanced prompt strategies to ensure high-quality, accurate, and context-aware outputs.
  • Context Management & RAG Implementation
  • Build and optimize Retrieval-Augmented Generation (RAG) systems using vector databases and memory frameworks to improve response relevance.
  • Output Validation & Quality Assurance
  • Create validation pipelines to verify model outputs, reduce hallucinations, and ensure compliance with defined quality standards.
  • AI Security & Risk Mitigation
  • Implement safeguards against vulnerabilities such as prompt injection, indirect injection, and SQL injection across LLM applications.
  • Production Deployment & Monitoring
  • Deploy solutions using MLOps best practices across cloud platforms (AWS, GCP, Azure) and monitor performance, latency, token usage, and drift.


Required Skills & Qualifications

  • Experience 5+ years of experience as an ML Engineer / MLOps Engineer
  • Proven experience in deploying LLM applications into production environments


Technical Skills

  • Strong proficiency in Python
  • Experience with ML frameworks such as PyTorch or TensorFlow
  • Hands-on experience with orchestration tools like Kubeflow or Airflow
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Knowledge of containerization (Docker, Kubernetes)
  • Experience with vector databases (Pinecone, Weaviate, Chroma)
  • Familiarity with RAG architectures and MLOps tools


LLM Expertise

  • Strong understanding of LLM capabilities, limitations, and prompt engineering
  • Awareness of security risks and mitigation strategies in generative AI


Core Competencies

  • Strong problem-solving and analytical skills
  • Ability to troubleshoot production-level issues (latency, performance, stability)
  • Excellent communication and collaboration skills
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Lead ML Engineer • Thane, Maharashtra, India

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