AI/ML Architect/Lead

Position: AI / ML Architect Lead

Location: Remote

Experience: 8 to 20 years

- Strong 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