Sales Professional

Job Overview

Bridging technology and customer success requires a unique blend of skills. As a sales professional, you will engage directly with clients to understand their challenges and position innovative solutions that make AI faster, greener, and more accessible for global enterprises.

Key Responsibilities :

• Solution Design

Collaborate with cross-functional teams to design tailored technical solutions that meet client needs.

Product Demonstration

Deliver compelling product demonstrations and contribute to RFP / RFI responses with technical input.

Technical Communication

Translate complex technical concepts into clear, business-relevant language for clients.

Customer Support

Support customer trials, manage model delivery, and ensure alignment with product capabilities.

Tech Staying Current

Stay informed on emerging technologies in AI, machine learning, and cloud infrastructure.

Travel Requirements

Travel as needed for client meetings, conferences, and project requirements.

Requirements :

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.

Experience

1–2 years' experience for junior roles, 2+ years for mid-level, ideally with a focus on ML / data science.

Background

Background in AI / ML, data science, or computer engineering, with hands-on experience working with ML models (transformers, CNNs, ViTs, LLMs).

Skills

Proficiency in Python and ML frameworks (PyTorch, TensorFlow preferred), experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).

Communication Skills

Excellent communication and presentation skills with the ability to engage technical and non-technical audiences.