We are seeking an AI/ML Engineer to build scalable machine learning pipelines and deploy production-ready AI models. This role focuses on MLOps, data engineering, and cloud AI solutions, ensuring ML models are efficiently trained, deployed, and monitored.
Job Description
What you'll do:
- ML Workflow Development: Build scalable, production-grade machine learning workflows using Kubeflow and MLflow
- Model Deployment & MLOps: Implement CI/CD pipelines for ML models using MLflow or KServe.
- Data Engineering for AI: Design and optimize batch & streaming data pipelines using Apache Spark, Kafka, or Dask.
- Cloud ML Solutions: Work with AWS SageMaker or Azure ML to deploy AI models in cloud environments.
- Performance Optimization: Optimize ML workflows through caching, parallel processing, and adaptive inference.
- Monitoring & Troubleshooting: Implement model observability, drift detection, and A/B testing for AI models.
- Cross-Team Collaboration: Work closely with data scientists, software engineers, and DevOps teams to ensure AI models are efficiently deployed and integrated.
What you'll bring:
- Experience: 2+ years in AI/ML engineering, MLOps, or data engineering.
- Machine Learning Proficiency: Experience with PyTorch, TensorFlow, or Scikit-learn.
- Programming Skills: Strong coding skills in Python, SQL, Spark, and familiarity with C++ and C.
- MLOps & Orchestration: Experience with Kubernetes, Docker, and MLflow for AI model deployment.
- Cloud & Infrastructure: Hands-on experience with AWS or Azure.
- Soft Skills: Ability to work in a team, solve complex problems, and stay updated with the latest ML trends.
About Us
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.
Visit here, for more information about how we hire, what’s in it for you, our culture and values.
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