Technical Lead- Artificial Intelligence

**Job Description:** You will be responsible for designing, developing, and deploying end-to-end AI/ML systems with a focus on large language models (LLMs), prompt engineering, and scalable system architecture. Leveraging technologies such as Java, Node.js, and .NET to build robust, high-performance solutions that integrate with enterprise systems. - **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 like chatbots, text summarization, and question-answering systems. - Experiment with prompt tuning and few-shot learning techniques to enhance 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, or .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 enhance 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. **Qualification Required:** - Bachelors or Masters 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, or .NET for backend development. - Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and Hugging Face Transformers.,