Machine Learning

Job Title:

Consultant Machine Learning Engineer

Location:

Chennai, India

Company:

Altimetrik

Experience:

8-10 years

Job Summary:

Python, SQL, Google Cloud Platform (GCP), BigQuery, Terraform, GCS, Looker, Vertex AI, Airflow, TensorFlow

Roles & Responsibilities:

• ML Solution Development:

  
  
• Develop, train, and deploy ML models using

  Python

  ,

  TensorFlow

  , and

  Vertex AI

  .
  
• Optimize model performance, scalability, and maintainability.
  

• Data Engineering & Pipelines:

  
  
• Design and implement data pipelines on

  GCP

  using

  Airflow

  ,

  BigQuery (BQ)

  ,

  GCS

  , and

  Terraform

  for infrastructure automation.
  
• Automate model training and deployment workflows using

  Tekton

  .
  

• Cloud Infrastructure & MLOps:

  
  
• Build robust CI/CD pipelines for ML models and data workflows.
  
• Manage infrastructure provisioning and configuration using

  Terraform

  .
  
• Ensure monitoring, observability, and governance for ML services.
  

• Visualization & Insights:

  
  
• Develop dashboards and reports in

  Looker

  to communicate insights to business stakeholders.
  

• Collaboration:

  
  
• Work cross-functionally with data scientists, product managers, and engineers.
  
• Mentor junior engineers and contribute to knowledge sharing across the team.
  

Key Skills:

Mandatory Technical Skills:

Additional Desired Skills:

• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
  
• Exposure to Data Security and Governance principles
  
• Familiarity with other ML frameworks (e.g., PyTorch)
  

Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
  
• 810 years of professional experience in machine learning, data engineering, and cloud infrastructure.
  
• Proven track record of building and deploying end-to-end ML solutions in production.
  

Why Join Altimetrik?

• Opportunity to work on cutting-edge AI/ML solutions at enterprise scale.
  
• Collaborative culture focused on continuous learning and innovation.
  
• Access to the latest tools and technologies in cloud and machine learning.

Preferred candidate profile