AI Engineer

🚀 WE'RE HIRING | AI Engineer
🏢 StaffBees
📍 Location: Remote
💼 Employment Type: Contract to Hire
⏰ Experience Required: 3+ Years

StaffBees is looking for a highly skilled and passionate AI Engineer to join an innovative team working on cutting-edge Artificial Intelligence, Machine Learning, and Generative AI solutions. This is an excellent opportunity for professionals who enjoy building, deploying, and scaling production-grade AI applications while working with modern cloud technologies and advanced machine learning frameworks.

🎯 About The Role
As an AI Engineer, you will be responsible for designing, developing, deploying, and maintaining end-to-end AI/ML solutions. You will work closely with cross-functional teams to build intelligent systems, automate workflows, optimize business processes, and deliver scalable AI-powered products. This role requires strong expertise in Machine Learning, Generative AI, MLOps, Cloud Platforms, Data Engineering, and Production Deployments.

💡 Required Experience
✅ 3+ Years of AI/ML Engineering or Applied Data Science Experience
✅ Strong Python Programming Skills
✅ Experience Building and Deploying Production-Grade AI Solutions
✅ Hands-on Experience with Modern Machine Learning Frameworks
✅ Experience with Cloud Infrastructure and Containerization Technologies
✅ Strong Understanding of Data Engineering and MLOps Practices

🤖 Machine Learning Frameworks
✅ PyTorch
✅ TensorFlow
✅ Scikit-Learn
✅ Hugging Face Transformers

☁️ Cloud & Infrastructure
✅ AWS
✅ Microsoft Azure
✅ Docker
✅ Kubernetes

📊 Data & Pipeline Technologies
✅ Apache Spark
✅ Apache Airflow
✅ dbt
✅ SQL
✅ Data Pipeline Automation
✅ Data Processing Workflows

🚀 MLOps & Experiment Tracking
✅ MLflow
✅ Kubeflow
✅ Weights & Biases
✅ Automated Model Deployment
✅ Model Monitoring & Maintenance

⭐ Preferred Qualifications
✅ Telecom Industry Experience
✅ ISP Industry Experience
✅ Broadband Domain Knowledge
✅ Speech Processing Experience
✅ Network Telemetry Data Experience
✅ Strong Understanding of Automated Deployment Workflows
✅ Advanced Knowledge of MLOps Architecture

🌟 Why Join This Opportunity?
This is a hands-on engineering role where you will work on advanced AI initiatives from concept to production. You'll have the opportunity to build intelligent systems, deploy large-scale machine learning solutions, and work with some of the most exciting technologies in Artificial Intelligence today.

📩 How To Apply
Interested candidates can share their updated resume at:
📧 shravya.j@staffbees.com

📢 Know Someone Who Would Be A Great Fit?
Tag them, share this opportunity with your network, or refer a friend working in AI, Machine Learning, Data Science, or MLOps.

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