Perennial Systems - Artificial Intelligence/Machine Learning Engineer - LLM

Responsibilities

• Design, build, and deploy scalable AI/ML models and systems for real-world applications.
• Work across Generative AI, NLP, and Document AI to deliver innovative solutions.
• Translate business requirements into technical specifications for AI solutions.
• Explore and experiment with emerging AI models, frameworks, and algorithms.
• Conduct performance benchmarking and fine-tuning of AI/ML models.
• Contribute to internal AI best practices, reusable components, and knowledge sharing.
• Work closely with product managers, data engineers, and software developers to integrate AI capabilities into production systems.
• Ensure models are production-ready, optimized for scalability, and compliant with quality and security standards.
• Monitor model performance post-deployment and implement enhancements.
• Keep up to date with advancements in AI research, tools, and Skills & Qualifications :
• Experience: 3 to 6 years in AI/ML engineering, applied machine learning, or related fields.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.
• Expertise in NLP techniques, large language models (LLMs), and Generative AI frameworks.
• Hands-on experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP AI Platform).
• Experience with deploying AI/ML models into production environments.
• Knowledge of MLOps tools and workflows (MLflow, Kubeflow, Docker, Kubernetes).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently in a fast-paced, agile environment.
• Exposure to vector databases, prompt engineering, or retrieval-augmented generation (RAG).
• Contributions to open-source AI projects or published research in relevant fields.
• Experience with document understanding and OCR-based AI solutions