Ai Ml Engineer

Role & responsibilities

• Design, train, and deploy scalable machine learning and deep learning models.
  
• Build end-to-end ML pipelines data ingestion, feature engineering, training, validation, deployment.
  
• Work on NLP, computer vision, predictive analytics, and GenAI (LLM fine-tuning).
  
• Collaborate across teams to embed AI solutions into enterprise applications.
  
• Leverage Databricks, Snowflake, AWS SageMaker, Azure ML, or GCP Vertex AI.
  
• Apply MLOps best practices using MLflow, Kubeflow, Airflow, etc.

Preferred candidate profile

Immediate joiners can send CV to [email removed]

Follow/connect me on linkedln: https://www.linkedin.com/in/aman-b056091b1/