Senior AI Engineer

Focus

Goal

Core Responsibilities

• Develop and implement machine learning and deep learning algorithms using

  Python

  ,

  TensorFlow

  ,

  PyTorch

  , and

  Scikit-learn

• Design scalable model training and inference pipelines leveraging

  Docker

  ,

  Kubernetes

  ,

  MLflow

  , and

  Airflow

• Deploy models to cloud platforms such as

  AWS SageMaker

  ,

  GCP Vertex AI

  , and

  Azure ML

• Integrate

  CI/CD

  workflows using

  GitHub Actions

  and infrastructure as code via

  Terraform

• Optimize models using

  ONNX

  ,

  TensorRT

  , and techniques like

  pruning and quantization

• Manage large-scale data processing with

  Spark

  ,

  Kafka

  , and

  Hadoop

• Work with structured and unstructured data stored in

  SQL

  ,

  NoSQL

  , and

  GraphDBs

Tech Stack

• Programming

  : Python

• ML/DL Frameworks

  : TensorFlow, PyTorch, Scikit-learn

• MLOps Tools

  : MLflow, Airflow, Docker, Kubernetes

• Cloud Platforms

  : AWS (SageMaker), GCP (Vertex AI), Azure ML

• Big Data

  : Spark, Kafka, Hadoop

• Databases

  : SQL, NoSQL, GraphDBs

• DevOps

  : CI/CD, GitHub Actions, Terraform

• Model Optimization

  : ONNX, TensorRT, Pruning, Quantization