AI Engineering Lead
AI Engineering Lead
Digile Ltd.- Posted 12 hours ago
- Be among the first 10 applicants
Job Description
We are looking for an experienced AI Engineering professional with strong expertise in Generative AI, Machine Learning, and modern software engineering practices. The ideal candidate will lead and deliver AI projects in production, collaborate with cross-functional teams, and drive scalable AI solutions.
The role requires hands-on experience with Python, AI/ML frameworks, cloud platforms, containerization, and MLOps tools. Strong system design, leadership, communication, analytical, and problem-solving skills are essential for successfully driving AI initiatives and mentoring technical teams.
The role requires hands-on experience with Python, AI/ML frameworks, cloud platforms, containerization, and MLOps tools. Strong system design, leadership, communication, analytical, and problem-solving skills are essential for successfully driving AI initiatives and mentoring technical teams.
- Proven track record of leading and delivering AI projects in production environments
- Strong knowledge of Generative AI, Machine learning, and data science principles
- Expert in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn
- Experience with cloud platforms (e.g. Azure, GCP)
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Strong understanding of MLOps tools and practices (MLflow, Kubeflow, SageMaker, etc.)
- Solid understanding of system design and software engineering best practices
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence or related field
- 8+ years in software/AI engineering, with at least 2–3 years in a technical leadership role
- Strong leadership, communication, and team-building skills
- Analytical mindset with a proactive problem-solving attitude
More Info
Key Skills
About Company
Skills:
containerization , Machine Learning, Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, Generative AI, Cloud platforms, Scikit-learn, MLflow, SageMaker, Kubeflow, MLOps tools
Skills:
Retrieval-Augmented Generation (RAG), Java, Spring Boot, J2EE, Devops, React, Typescript, Azure, LangChain, Agentic AI architectures, LLMs, Cloud-based AI architectures, Claude Code, Claude, LangGraph, GitHub Copilot, CI/CD
Skills:
Kubernetes Container Orchestration, GenAI Architecture Design, Advanced Python Programming, Retrieval-Augmented Generation RAG, Responsible AI and AI Governance, Agentic AI Design Patterns, LLMOps MLOps, Cloud Platforms Azure AWS GCP, Model Serving Inference Optimization, Distributed Systems Architecture, LangChain, LangGraph, Event-Driven Architectures, CI CD and Infrastructure as Code, Vector Databases Pinecone Weaviate ChromaDB Azure AI Search, AI Security and Compliance, Monitoring Observability Platforms, API Development FastAPI Flask, Knowledge Graphs, Semantic Kernel
Skills:
Microservices, Sql, Angular, Nosql, React, Gcp, Docker, FastAPI, Restful Apis, Azure, Kubernetes, Python, AWS, LLMs, Vector databases, ADK, Autogen, MAF, CI CD pipelines
Skills:
Cuda, Tensorflow, Pytorch, Python, Triton Inference Server, LLMs, NVIDIA stack, HuggingFace, TensorRT, Agentic AI, VLMs, Transformers