AI Engineering Lead

Digile Pte Ltd; India; Presencial; INR 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

Digile Pte Ltd is seeking an experienced AI Engineering professional with strong expertise in Generative AI, ML, and modern software engineering practices. The role leads and delivers AI projects in production, collaborating with cross-functional teams to drive scalable AI solutions.

The candidate will work hands-on with Python, AI/ML frameworks, cloud platforms, containers, and MLOps tools, while mentoring technical teams and shaping system design across projects.

Formación

• Experience leading AI projects in production environments.
• Strong knowledge of Generative AI, ML, and data science principles.
• Expert in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (Azure, GCP).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Strong MLOps knowledge (MLflow, Kubeflow, SageMaker).
• Solid understanding of system design and software engineering best practices.
• Bachelor’s or Master’s degree in Computer Science / AI or related field.
• 8+ years in software/AI engineering with 2–3 years in technical leadership.

Responsabilidades

• Lead and deliver AI projects in production environments.
• Collaborate with cross-functional teams to drive scalable AI solutions.
• Mentor technical teams and guide best practices in AI engineering.

Conocimientos

Generative AI

Machine Learning

Python

Cloud platforms

Docker

Kubernetes

MLOps

System design

Leadership

Communication

Problem solving

Educación

Bachelor’s or Master’s degree in CS/AI

Herramientas

TensorFlow

PyTorch

Scikit-learn

MLflow

Kubeflow

SageMaker

Azure

GCP

Descripción del empleo

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.

• 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