Job Summary

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full time in India.

About the role

As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Responsibilities

- System Architecture: Lead the end-to-end design and deployment of scalable AI systems, specifically focusing on LLM-driven applications, Multi-Agent systems, and Retrieval-Augmented Generation (RAG)
- Technical Governance: Serve as the primary technical authority for clients, ensuring all AI solutions meet enterprise-grade standards for performance, security, and reliability
- Hands-on Development: Drive the full development lifecycle from initial experimentation and rapid prototyping to production-grade implementation
- Strategic Presales: Act as a Technical SME during discovery phases, translating business challenges into viable AI roadmaps and engineering solutions
- Operational Excellence (LLMOps): Establish best practices for CI/CD, model observability, and automated evaluation to ensure continuous improvement of deployed models
- Cross-Functional Leadership: Collaborate with Product and Data teams to align technical delivery with business KPIs, while mentoring junior engineers through code reviews and internal workshops

Requirements
- Professional Background: 8+ years in software, data, or AI engineering, featuring at least 3-4 years of direct experience architecting and implementing AI/ML solutions
- Academic Foundation: BSc, MSc,



or PhD in Computer Science, Mathematics, or a related quantitative field, with a deep command of probability, statistics, and machine learning optimization
- AI & Generative AI Expertise: Proven track record in building and deploying advanced AI systems, including Large Language Models (LLMs), Multimodal architectures, RAG, and Agentic systems
- Engineering Proficiency: Expert-level Python skills and mastery of frameworks such as PyTorch, TensorFlow, LangChain, and Hugging Face
- Cloud & Infrastructure: Hands-on experience with cloud-native AI stacks (AWS SageMaker, Azure ML, or GCP Vertex AI) and enterprise data platforms
- Operational Excellence (LLMOps): Proficiency in modern AI engineering practices, including CI/CD, model versioning, observability, and evaluation methodologies (e. g. , CRISP-ML(Q))
- Full-Stack AI Delivery: Experience architecting end-to-end pipelines from data ingestion and API integration to production-grade model serving and optimization
- Data Sophistication: Ability to handle diverse modalities (text, image, audio) and complex scenarios such as time-series forecasting and anomaly detection
- Governance & Security: Strong understanding of security, data privacy (GDPR/CCPA), and ethical AI frameworks within enterprise system design

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Artificial Intelligence/Machine Learning Engineer (Chennai)
🏢 Ciklum
📍 Chennai