Description

Design and build AI and NLP solutions for specific business use cases, owning the end-to-end architecture from requirements to deployment.

This role is on-site.

Responsibilities

• Design and develop accelerators for various NLP use cases.
• Plan AI architecture and machine learning pipeline workflows.
• Derive technical requirements from business use cases to build end-to-end solutions.
• Deploy models using Git CI/CD pipelines on on-premise infrastructure.
• Collaborate with data scientists to identify and pilot digital transformation use cases.

Required Skills

• 5+ years of experience in Software Engineering, ML Engineering, or Software Development.
• Proficiency with PyTorch and Hugging Face.
• Experience with LLMs and Haystack.
• Hands-on experience with Docker and Kubernetes.
• Knowledge of Git Actions and CI/CD pipeline implementation.
• Experience using AWS and ArgoCD.
• Familiarity with ML workflow architectures and advanced analytics tools including Python, R, or SAS.

Preferred Skills

• Bachelor's degree in Computer Science, Electronics and Communication Engineering, or Mathematics.

Key Skills

Education

Any Graduate