Machine Learning (AI) Engineer (Hybrid)

Original job posting

Design, train, and optimize machine learning models to power core product features. Implement MLOps practices and develop data pipelines to ensure scalable AI solutions and operational efficiency.

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. Apply Now!

What you’ll do

Design, train, and optimize machine learning models to power core product features. Implement MLOps practices and develop data pipelines to ensure scalable AI solutions and operational efficiency.

Requirements

Proficiency in Python, TensorFlow, and PyTorch is required for model development. Candidates should have experience with MLOps tools and cloud platforms like AWS, GCP, or Azure.

Listed skills

• Microsoft Azure · Preferred
• CI/CD · Preferred
• Amazon Web Services · Preferred
• Google Cloud · Preferred
• Git · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• TensorFlow
• PyTorch
• MLOps
• MLflow
• Kubeflow
• SageMaker
• Data Preprocessing
• Feature Engineering
• AWS
• GCP
• Azure
• Git
• CI/CD

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Science & Research