AI & Optimization Engineer Full Time NEW

This is an exciting opportunity to work at the intersection of artificial intelligence, optimization, and large-scale infrastructure operations within a globally distributed remote environment. In this role, you will help transform complex operational data into intelligent systems that drive automation, predictive insights, and efficiency improvements across high-performance environments. You will collaborate closely with engineering, data, and operational teams to design scalable AI solutions and optimize real-world systems using advanced machine learning and data modeling techniques. The position offers the chance to work on cutting-edge technologies involving time-series data, IoT-style telemetry, and production-grade AI deployment. Ideal for professionals passionate about innovation and applied AI, this role combines strategic thinking with hands-on technical execution in a fast-moving and highly collaborative setting.

Accountabilities

• Define and execute AI and optimization strategies focused on improving operational efficiency and measurable business performance.
• Design and maintain scalable data models, schemas, and telemetry structures to support AI and machine learning initiatives.
• Develop, deploy, and optimize machine learning models for anomaly detection, predictive maintenance, automation, performance optimization, and operational forecasting.
• Collaborate with engineering teams to integrate AI capabilities into existing systems, workflows, APIs, and production environments.
• Continuously monitor and improve model performance, reliability, explainability, and scalability in live operational settings.
• Work closely with cross-functional stakeholders to translate operational challenges into data-driven solutions and actionable insights.
• Document architectures, modelling assumptions, and AI workflows clearly while promoting a data-driven and innovation-focused culture.
• Stay informed on emerging trends in AI, optimization, industrial analytics, and automation technologies.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Engineering, Statistics, or a related technical field.
• At least 3 years of experience in AI/ML engineering, applied optimization, data science, or related analytical roles.
• Strong expertise in Python and modern machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn.
• Proficiency in JavaScript or TypeScript within Node.js environments.
• Experience designing and managing large-scale, time-series-focused data architectures and pipelines.
• Solid understanding of optimization techniques, predictive modelling, anomaly detection, and industrial or telemetry-based AI systems.
• Familiarity with Docker and containerized deployment environments.
• Experience deploying, monitoring, and maintaining production AI systems, including handling model drift and changing operational conditions.
• Strong analytical thinking, problem-solving skills, and the ability to work independently in globally distributed remote teams.
• Excellent English communication skills with the ability to collaborate effectively across technical and non-technical stakeholders.

Benefits

• 100% remote work environment with global collaboration opportunities.
• Opportunity to work on innovative AI and optimization projects with real-world operational impact.
• Exposure to cutting-edge technologies in machine learning, automation, infrastructure, and distributed systems.
• Fast-paced and highly collaborative international team culture.
• Career growth opportunities within a rapidly evolving and innovation-driven industry.
• Flexible and autonomous work environment that encourages creativity and ownership.
• Work alongside highly skilled professionals in engineering, AI, and infrastructure operations.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.