Senior Software Engineer- AI/ML
4 hours ago
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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