Skills

Python CI/CD Docker Kubernetes Monitoring Version Control Problem-solving Research Training Machine Learning PyTorch TensorFlow Deep Learning git Google Cloud Platform GCP CI/CD Pipelines Terraform Infrastructure as Code

Job Specifications

We are seeking a highly skilled and motivated Machine Learning Engineer with strong expertise in AI/ML concepts, cloud infrastructure, and deployment automation. The ideal candidate will be responsible for building, deploying, and maintaining scalable machine learning solutions using Google Cloud Platform and related tools.

Key Responsibilities:

Model Development & Deployment

Design, develop, and deploy machine learning models using Google Cloud Machine Learning and Vertex AI.

Implement pipelines for data ingestion, model training, testing, and deployment.

MLOps Implementation

Automate model lifecycle management, including CI/CD pipelines for ML workflows.

Manage containerization and orchestration using Docker and Kubernetes.

Infrastructure as Code (IaC)

Use Terraform for provisioning and managing scalable cloud infrastructure.

Ensure high availability, scalability, and reproducibility of ML environments.

Version Control & Collaboration

Maintain repositories and workflows using GIT for version control and collaboration.

Ensure reproducible research and model traceability through proper documentation.

Cloud Integration

Work with Google Cloud ML Services, Vertex AI Pipelines, and BigQuery for end-to-end ML solutions.

Optimize cloud resources and ensure cost efficiency.

Monitoring & Optimization

Set up model monitoring, drift detection, and retraining workflows.

Continuously improve performance, reliability, and efficiency of ML pipelines.

Required Skills:

Strong foundation in AI & Machine Learning concepts (Supervised/Unsupervised Learning, Deep Learning, etc.)

Hands-on experience with Google Cloud Platform (GCP), Vertex AI, and ML Ops practices

Proficiency in Docker, Kubernetes, and Terraform

Familiarity with Python, TensorFlow/PyTorch, and GIT

Knowledge of CI/CD pipelines for ML workflows

Excellent problem-solving and collaboration skills

About the Company

About Pi Square Pi Square Technologies is a renowned Automotive and IT technologies Solutions provider company Headquartered in Farmington Hills, Michigan, USA. We have a team of experienced individuals, with a Global Delivery Center in Hyderabad and a Technical Development Centre in Bangalore, India. We are proud that we are expanding globally with our offices started in the UK and Germany. We have a proven track record of providing advanced data analytics solutions to the Automobile and IT sectors to help our clients stay ... Know more