Key Responsibilities
- Architect end‑to‑end AI solutions that align with client business objectives and technical constraints.
- Design scalable data pipelines and model deployment workflows on AWS services such as SageMaker, Lambda, and S3.
- Collaborate with data scientists, engineers, and stakeholders to translate business problems into technical specifications.
- Conduct feasibility studies, proof‑of‑concepts, and performance benchmarking for ML models.
- Ensure solutions meet security, compliance, and governance standards.
Requirements
- 5+ years of experience in AI/ML solution architecture or related roles.
- Proficiency in Python, data engineering, and cloud platforms (AWS preferred).
- Strong understanding of data architecture, ETL processes, and model deployment best practices.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical audiences.
- Experience with Agile development and cross‑functional team collaboration.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
