Azilen Technologiesi

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 : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- PhD is a plus.

- 10+ 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 :

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.

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.

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.

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.

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.

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.