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AI/ML Systems Architect
AI/ML Systems ArchitectAzilen Technologies • Ahmedabad, Republic Of India, IN
AI / ML Systems Architect

AI / ML Systems Architect

Azilen Technologies • Ahmedabad, Republic Of India, IN
30+ days ago
Job description

Job purpose :

Design, develop, and deploy end-to-end AI / ML systems, focusing on large language models (LLMs), prompt engineering, and scalable system architecture. Leverage technologies such as Java / Node.Js / NET to build robust, high-performance solutions that integrate with enterprise systems.

Who You Are :

  • Education : Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. PhD is a plus.
  • 5+ years of experience in AI / ML development, with at least 2 years working on LLMs or NLP.
  • Proven expertise in end-to-end system design and deployment of production-grade AI systems.
  • Hands-on experience with Java / Node.Js / .NET for backend development.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers).

Key Responsibilities :

1. Model Development & Training :

  • Design, train, and fine-tune large language models (LLMs) for tasks such as natural language understanding, generation, and classification.
  • Implement and optimize machine learning algorithms using frameworks like TensorFlow, PyTorch, or Hugging Face.
  • 2. Prompt Engineering :

  • Craft high-quality prompts to maximize LLM performance for specific use cases, including chatbots, text summarization, and question-answering systems.
  • Experiment with prompt tuning and few-shot learning techniques to improve model accuracy and efficiency.
  • 3. End-to-End System Design :

  • Architect scalable, secure, and fault-tolerant AI / ML systems, integrating LLMs with backend services and APIs.
  • Develop microservices-based architectures using Java / Node.Js / .NET for seamless integration with enterprise applications.
  • Design and implement data pipelines for preprocessing, feature engineering, and model inference.
  • 4. Integration & Deployment :

  • Deploy ML models and LLMs to production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS / Azure / GCP).
  • Build RESTful or GraphQL APIs to expose AI capabilities to front-end or third-party applications.
  • 5. Performance Optimization :

  • Optimize LLMs for latency, throughput, and resource efficiency using techniques like quantization, pruning, and model distillation.
  • Monitor and improve system performance through logging, metrics, and A / B testing.
  • 6. Collaboration & Leadership :

  • Work closely with data scientists, software engineers, and product managers to align AI solutions with business objectives.
  • Mentor junior engineers and contribute to best practices for AI / ML development.
  • What will excite us :

  • Strong understanding of LLM architectures and prompt engineering techniques.
  • Experience with backend development using Java / Node.Js (Express) / .NET Core.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI / CD).
  • Knowledge of database systems (SQL, NoSQL) and data pipeline tools (Apache Kafka, Airflow).
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.
  • Ability to work in a fast-paced, collaborative environment.
  • What will excite you :

  • Lead AI innovation in a fast-growing, technology-driven organization.
  • Work on cutting-edge AI solutions, including LLMs, autonomous AI agents, and Generative AI applications.
  • Engage with top-tier enterprise clients and drive AI transformation at scale.
  • Location : Ahmedabad

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    System Architect • Ahmedabad, Republic Of India, IN

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