Role & responsibilities

- Qualified Background: 6+ years in software, data, or AI engineering, featuring at least 34 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.

Preferred candidate profile

Perks and benefits

📌 Expert AI/ML Engineer (Chennai)
🏢 Ciklum
📍 Chennai