AI Engineer

Remote
Full-time
Please note: evening working hours are required to ensure overlap with the US-based team.

We’re seeking for a talented AI Engineer to join a US-based digital solutions provider that uniquely combines the power of AI with human expertise. The company is revolutionizing the way businesses and governments worldwide manage their water treatment operations.

By leveraging AI and IoT technologies, this organization empowers clients to achieve exceptional system performance. Their digital solution platforms help reduce operational costs, minimize maintenance downtime, improve efficiencies, and ensure compliance with industry standards.

The team is globally distributed, fully remote, and places a strong emphasis on collaboration, support, and entrepreneurial spirit. The AI department focuses on cutting-edge solutions across various water treatment applications — from reinforcement learning for process control and optimization of reverse osmosis systems, to predictive maintenance using regression models, and advanced condition monitoring for early failure detection.

Duties and responsibilities include:

• Developing AI systems and tools for use in Turing’s software offerings.

• Researching and designing new solutions to AI/ML/DS problems as needed.

• Educating and knowledge sharing AI research with a cross-functional team consisting of

software development, engineering, and business domain experts.

• Learning Domain knowledge as necessary and working with SMEs to develop high quality

problem definitions.

• Owning the AI development lifecycle inclusive of preparing data for use in AI systems,

exploratory data analysis, model development, model deployment and implementation,

monitoring, and maintenance.

• Collaboration with a globally distributed team that is remote and spread across various time zones.

Core Requirements

• 3+ Years of experience developing RL agent solutions.

• Or 2+ Years of experience developing solutions with LLMs, Agentic or RAG.

• 3+ Years of experience with the Python ML Ecosystem.

• BS or above in Computer Science, Data Science, AI Engineering or technical equivalent.

• An agile self-starter with a software craftsmanship mindset and the ability to act on their own initiative and self-direct.

• Experience dealing with uncleaned real-world data.

• Experience working with domain experts to improve problem definitions, metric selection, and feature selection.

• English level — strong Upper Intermediate or higher

Nice to have

• 2+ Years IoT and Timeseries data manipulation

• 2+ Years AWS cloud and/or Docker

• 2+ Years using MLOps

• Experience using AI for industrial process control

• Working Knowledge of Test-Driven Development

Looking forward to your replies!