Experience Required: 8-14+ Years
- Solid in Machine Learning Algorithms
- Data Engineering and ETL/ELT
- Data cleaning, preprocessing and EDA
- Feature Engineering
- Data Splitting and encoding
- MLOps (Model versioning, training, experimentation, deployment and monitoring)
- Python, Pandas, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, Matplotlib, R, Scala, Java
- Git, DVC, MLFlow, Kubernetes, Kubeflow, Docker, CI/CD deployments, Apache Airflow
- Databricks, Snowflake, Salesforce, SAP, AWS/Azure/GCP Data Cloud Platforms
- AWS SageMaker, Google AI Platform, Azure Machine Learning
- AWS Cloud Foundry, AWS Bedrock, Azure ML Services
- Model Design and Optimization
- LLM Models OpenAI, BERT, LLaMA, Gemini
- RDBMS, NoSQL databases, Vector DB
- RAG Pipelines
- AI Agent Frameworks
- AI agent authentication and deployment
- AI security and compliance
- Prompt Engineering
📌 AI/ML Architect (Pune)
🏢 Calibo
📍 Pune