AI Machine Learning Engineer (Remote)

Hire Feed; Alessandria; Remoto; EUR 55.000 - 90.000; Tempo pieno

Descrizione del lavoro

Hire Feed is seeking a remote AI Machine Learning Engineer to design, implement, and optimize AI-powered software deployed in production. This role offers global collaboration and requires strong software engineering practices.

You will work with Python, C++, or Java; TensorFlow, PyTorch, or ONNX Runtime; Docker and Kubernetes for deployment; and CI/CD workflows to ensure scalable, reliable AI services.

Competenze

• Experience with AI software development using frameworks (TensorFlow, PyTorch, ONNX).
• Proficiency in Python, C++, or Java for performance-critical apps.
• Knowledge of model deployment strategies (Docker, Kubernetes).
• Familiarity with AI infra (GPUs/TPUs, cloud AI services).
• Understanding of software engineering best practices (Git, CI/CD, Agile).
• Experience with API design/integration for AI services (REST, gRPC, GraphQL).
• Ability to analyze and optimize AI model performance in production.

Mansioni

• Design, develop, and maintain AI software components (inference engines, pipelines, APIs).
• Optimize AI models for latency, throughput, and scalability in production.
• Collaborate with data scientists to translate models into production software.
• Implement robust testing frameworks for AI software functionality and reliability.
• Document architecture decisions and deployment processes for stakeholders.

Conoscenze

TensorFlow

PyTorch

ONNX Runtime

Python

C++

Java

REST

gRPC

GraphQL

Git

CI/CD

Agile

Performance optimization

AI model deployment

Docker

Kubernetes

GPU/TPU

Strumenti

Docker

Kubernetes

Descrizione del lavoro

• Role: AI Machine Learning Engineer (Remote)
• Location: Remote (Work from Anywhere)

Role Overview:

We are hiring for one of our clients, seeking an AI Software Engineering Domain Expert to work on a Full-time basis to develop and optimize AI-driven software solutions. This role requires deep expertise in software engineering principles applied to AI systems, including model deployment, performance optimization, and integration with existing infrastructure. The position involves collaborating with cross-functional teams to ensure AI models meet technical and business requirements.

Key Responsibilities:

• Design, develop, and maintain AI software components, including inference engines, model pipelines, and API integrations.
• Optimize AI models for latency, throughput, and scalability to meet real-world deployment constraints.
• Collaborate with data scientists and machine learning engineers to translate AI models into production-ready software.
• Implement robust testing frameworks to validate AI software functionality, performance, and reliability.
• Document technical specifications, architecture decisions, and deployment processes for internal and external stakeholders.

Required Skills & Qualifications:

• Experience with AI software development, including frameworks such as TensorFlow, PyTorch, or ONNX Runtime.
• Proficiency in programming languages such as Python, C++, or Java, with a focus on performance-critical applications.
• Knowledge of model deployment strategies, including containerization (Docker) and orchestration (Kubernetes).
• Familiarity with AI infrastructure components like GPUs, TPUs, and cloud-based AI services.
• Understanding of software engineering best practices, including version control (Git), CI/CD pipelines, and agile methodologies.
• Experience with API design and integration for AI services, including REST, gRPC, or GraphQL.
• Ability to analyze and optimize AI model performance in production environments.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of cutting-edge AI solutions that power scalable software systems. The position involves direct impact on high-impact projects with measurable outcomes in performance and efficiency.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.