AI/ML Architect

4 days ago

Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 12,00,000 - ₹ 18,00,000
Job Overview

As a Senior AI/ML Engineer, you will play a key role in the development of high-performing and scalable Machine Learning applications in cloud environments.

This position involves collaborating with cross-functional teams to implement Machine Learning models into production, as well as designing and implementing data pipelines and automation solutions.

The ideal candidate will have a strong understanding of AI/ML concepts, including types of algorithms, machine learning frameworks, and model life-cycle.

Key Responsibilities
  • Develop high-quality, production-ready ML/AI applications using Python and cloud services
  • Collaborate with Data Science, Data Engineering, and Cloud teams to implement Machine Learning models
  • Design and implement practical and innovative automation solutions for scale and efficiency
  • Define and implement best practices in ML model life cycles and operations
  • Present solutions and results to internal and external clients
Requirements

We are looking for experienced professionals with:

  • Good understanding of AI/ML concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures
  • Experience in programming ML algorithms and data processing pipelines using Python
  • At least 6-8 years of experience in production-ready code development
  • Practical experience with implementing ML solutions on GCP Vertex.AI and/or Databricks
  • Good communication and team collaboration skills
Benefits

As a member of our team, you can expect:

  • 100% remote work option
  • Flexibility regarding working hours
  • Full-time position with comprehensive online onboarding program
  • Cooperation with top-tier engineers and experts
  • Internal Gallup Certified Strengths Coach to support your growth
Skills We Value

In addition to the requirements above, we also value experience with:

  • Cloud concepts and architectures
  • CI/CD and DevOps concepts
  • Software engineering best practices

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