AI Data Solutions Engineer

AI Data Solutions Engineer

Location: Remote

Start date: ASAP

glliProject type: Long-term

Role Overview

We are looking for an AI Data Solutions Engineer to work at the intersection of data science, data engineering, AI engineering, and operations. In this role, you will closely collaborate with the DaaS Delivery Operations team as well as cross-functional technical and business stakeholders, including international clients.You will be involved across the full lifecycle — from presales through delivery — contributing hands-on technical expertise to solve complex, multi-faceted problems and drive innovation in data and AI solutions.

Responsibilities

• Develop technical specifications for data and AI-driven solutions

• Design evaluation workflows, quality standards, and measurement frameworks

• Build and implement ML-assisted and AI-powered applications to improve data pipelines

• Identify and deliver technical innovations that unblock projects and improve delivery efficiency

• Collaborate with internal teams and international clients throughout project execution

• Work with APIs and interpret technical documentation

Required Skills and Experience

• 5+ years of experience in data science and/or data engineering roles

• Strong proficiency in Python and SQL

• Hands-on experience with data and visualization tools such as pandas, Plotly, Streamlit, Dash

• Familiarity with Large Language Models (LLMs) and deploying ML solutions into production environments

• Experience working with APIs and reading technical documentation

• Strong analytical, problem-solving, collaboration, and communication skills

Language Requirements

• English proficiency at C1 level or higher — required for daily communication with international clients and working with technical documentation

Soft Skills (Highly Important)

• Excellent communication and presentation skills

• Proactive mindset and ownership of tasks

• Ability to work effectively with cross-functional teams

• Confidence in client-facing interactions

Working Conditions

• Standard working hours

• Occasional meetings aligned with US client time zones