Senior AI Engineer

Tasks

• Build end to end data ingestion feature engineering training and monitoring pipelines
• Conduct exploratory data analysis statistical testing time series forecasting
• Deploy AI microservices event driven workflows and integrate with APIs
• Design train fine tune evaluate machine learning models
• Develop prompt engineering retrieval augmented generation and agent workflows
• Expose models as production ready services and automate decision pipelines
• Fine tune large language models on domain datasets for product alignment
• Implement CI CD testing monitoring and model performance tracking
• Mentor junior engineers and contribute to technical direction

Perks/Benefits

• N/A

Skills/Tech-stack

AWS EMR | Airflow | Apache Spark | BentoML | CI/CD | CNN | DVC | Data Analysis | Data Wrangling | Databases | Databricks | Deep learning | Docker | Exploratory Data Analysis | GCP Dataproc | Git | Hugging Face | Hugging Face Transformers | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | MLOps | MLflow | MLflow Tracking | Matplotlib | NumPy | OpenCV | Pandas | Plotly | Prefect | PySpark | PyTorch | Python | RAG | SQL | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting | Transformers | Vector Databases | Weights and Biases