Machine Learning (AI) Engineer (Hybrid)

About this role

- 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, e...