Senior AI Engineer
New
United StatesFull-TimeSenior
Salary120,000 - 170,000 USD per year
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Job Details
- Experience
- 4–7 years
- Required Skills
- PythonSQLJavaPyTorchData engineeringSparkTensorflowDatabricksMLOps
Requirements
- 4–7 years of experience in AI Engineering, Machine Learning Engineering, or Data Engineering.
- Strong programming skills in Python, Java and SQL.
- Proven experience designing and building production-grade ML systems and data pipelines.
- Experience with Databricks, Apache Spark, or similar distributed data processing frameworks.
- Strong understanding of machine learning lifecycle (training, deployment, monitoring, retraining).
- Experience with cloud platforms (AWS, Azure, or GCP).
- Solid knowledge of data architecture, data modeling, and data warehousing concepts.
- Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with MLOps practices and tools (e.g., MLflow, Airflow, CI/CD pipelines).
- Experience with LLMs, NLP, or generative AI applications.
Responsibilities
- Design, build, and deploy scalable machine learning and AI systems in production environments.
- Collaborate with Product Managers, Data Scientists and Engineers to lead the implementation of models and integrate them into data pipelines and agentic applications.
- Lead model performance monitoring, retraining workflows, and continuous improvement.
- Lead the implementation of data preprocessing and feature engineering pipelines for ML use cases.
- Lead to experimentation and testing of AI models to improve accuracy and performance.
- Develop, maintain, and optimize scalable data pipelines for analytics and machine learning workloads.
- Ensure data reliability, quality, and performance across data systems.
- Implement and maintain data ingestion pipelines from various internal and external sources.
- Monitor and troubleshoot data pipelines to ensure consistent and timely delivery.
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