Hire Feed
Website:
hire.nu
Company:
https://www.linkedin.com/company/hirefeedd
Seniority: Associate
Industries: Software Development, Technology, Information and Media, and Data Infrastructure and Analytics
Job details:
- Role: Machine Learning (AI) Engineer (Hybrid)
- Location: Remote
- Job Type: Full-Time
- Payout: $200K - $500K/yr
Role Overview:
We are hiring for one of our clients, seeking an AI/ML Engineer to develop and deploy machine learning models that power core product features. The role involves collaborating with cross-functional teams to design scalable AI solutions that enhance user experience and operational efficiency.
Key Responsibilities:
• Design, train, and optimize machine learning models using Python, TensorFlow, and PyTorch frameworks.
• Develop and maintain data pipelines to ensure high-quality input for model training and evaluation.
• Implement MLOps practices to streamline model deployment, monitoring, and version control.
• Collaborate with data scientists and software engineers to integrate AI capabilities into production systems.
• Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.
Required Skills & Qualifications:
• Proficiency in Python, TensorFlow, and PyTorch for model development and training.
• Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker for deployment and monitoring.
• Strong background in data preprocessing, feature engineering, and model evaluation metrics.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.
• Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the advancement of AI-driven product solutions. The position involves solving complex technical challenges in a collaborative environment with access to cutting-edge tools and datasets.
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.
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