Skills

Communication Python Sales Training Machine Learning

Job Specifications

Airswift is working in partnership with a pioneering technology company specializing in industrial physics-informed AI solutions, operating at the forefront of physics-informed AI, digital twins, and advanced predictive modeling.

We are seeking a Physics-AI Application Engineer to support transforming the companies' clients industrial operations, particularly in the oil and gas industry, and across other industrial sectors. The company fosters a collaborative and innovative environment that values technical expertise and a passion for solving complex problems, driving continuous learning and improvement

Primary Responsibilities

Lead Customer Engagements

Conduct technical discovery sessions with clients’ engineering and operations teams
Identify high impact use cases aligned to business and operational goals

Deliver Proof-of-Value Projects

Design and implement AI modeling and optimization workflows using company software platform and arsenal of Physics-AI capabilities
Rapidly iterate and validate solutions using real customer data and workflows
Quantify and communicate business value through measurable KPIs

Enable Scalable Deployments

Collaborate with software engineering to integrate models into production environments
Develop and deliver technical documentation, training, and customer onboarding materials
Support transition from PoV to full deployment and long-term adoption

Champion Customer Success

Act as a trusted advisor to technical stakeholders and decision-makers
Build consultative relationships that open doors to follow-on projects and expansion

Evangelize Innovation

Represent company at conferences & events, deliver product demos, and contribute to technical publications

Essential Skills & Experience Required

Minimum Bachelors of Engineering, Applied Physics, or a related field
At least 3 years of prior industry work experience applying modelling and simulation
Proficiency in Python, with experience building and training ML models using common learning frameworks
Strong communication and collaboration skills with the ability to lead client conversations and influence outcomes
Self-starter who thrives in fast-paced, dynamic, and evolving environments
Excited to build, learn, and adapt as part of a mission-driven team

Desirable Skills And Experience

Energy industry experience, specifically within conventional oil and gas industry
Experience with startups or early-stage development projects
Familiarity with modeling & simulation platforms like AspenTech, Siemens, or Ansys
Understanding of the Machine Learning model lifecycle from development to deployment
Prior experience in technical consulting, solution delivery, or pre-sales engineering

Why should you be interested in this opportunity?

Company are pioneers and recognized global leaders in AI Adoption with world-class expert team
The platform is commercial, scalable, and unique with an innovative modelling approach
Opportunity to have real collaborative impact, with proven career growth and equity in the business

About the Company

We support STEM professionals looking for jobs with exceptional firms in the technology and engineering sectors. With over 9,000 contractors and 1,000 employees in 60 offices worldwide, our talent pool and geographical reach are unmatched in the industry. Know more