AI/ML Architect

About the job

Nomiso is a product and services engineering company that aims to empower and enhance the lives of customers through efficient solutions for complex business problems. At Nomiso, you will find a workplace that encourages entrepreneurial spirit, ideas, and opportunities. We are looking for colleagues who share our passion for learning, growing, and thriving in challenging environments. If you are nimble and eager to push your boundaries, Nomiso is the place for you to fulfill your career aspirations. As an AI/ML Architect at Nomiso, your primary focus will be on designing and deploying production-grade AI systems, particularly leveraging LLMs, RAG pipelines, and MLOps practices. You will collaborate closely with engineering and product teams to build scalable, secure, and efficient AI-powered applications. Key Responsibilities: - AI/ML System Design: - Design and implement end-to-end ML pipelines (data ingestion training evaluation deployment). - Architect LLM-based solutions using advanced prompting strategies, RAG (Retrieval-Augmented Generation), and agentic workflows. - Define scalable patterns for ML/GenAI application development. - Model Development & Optimization: - Conduct data analysis, quality benchmarking, lineage detection, and curation. - Perform statistical model training, evaluation, hyper-parameter tuning, and feature engineering. - Fine-tune LLMs for specific tasks and prompt optimization. - Evaluate and select appropriate models. - MLOps & Deployment: - Implement MLOps best practices such as model versioning, experiment tracking, monitoring, retraining pipelines, and drift detection. - Handle model deployment in production environments (APIs, batch, streaming) to ensure performance, scalability, and reliability of AI systems. - Platform & Integration: - Integrate AI solutions with existing microservices and backend systems. - Work with vector databases, caching, and APIs for GenAI use cases while ensuring security and governance in AI deployments. - Collaboration: - Partner with product managers and engineers to translate business problems into AI solutions. - Mentor engineers on AI/ML and GenAI best practices. Must Have Skills: - 10-15 years of experience in software engineering / ML systems. - Strong programming skills in Python. - Experience in building production-grade ML systems. - Hands-on experience with data analysis, feature engineering, statistical model training, LLMs, RAG pipeline design, and model tuning. - Familiarity with frameworks like Tensorflow, PyTorch, Sci-kit, LangChain, LlamaIndex, or similar. - Understanding of embeddings, vector search, and retrieval systems. - Experience with MLOps practices, model deployment, monitoring, and logging. - Exposure to tools like MLflow, Kubeflow, or similar. At Nomiso, we offer a positive, stimulating, and fun environment where your views are valued and encouraged. If you are ready to work in a fast-paced innovative setting with opportunities to grow, Nomiso is the place for you to thrive and make an impact.