Senior AI Software Developer

1 day ago

Mumbai Hyderabad Secunderabad Telangana, India beBeeSoftware Full time US$ 90,000 - US$ 1,20,000

About the Role

As a Senior Software Engineer, AI Platform you will build and maintain software that tracks the full lifecycle of machine learning from ideation to post-deployment monitoring.

You will assist in deploying machine learning models into production and support these models throughout their lifecycle including GenAI models.

Your responsibilities will also include building out features that help data scientists and AI novices iterate and retrain models at speed and ease.

In addition, you will develop features that facilitate data collection and annotation for non-structured data and NLP use cases.

You will utilize a variety of software and tools both commercial and open-source.

Your work will enable self-service tooling for teams to create and maintain models.

You will also create and deploy tooling for model monitoring and model governance.

This role involves being part of a model operations framework.

Lastly, you will continuously challenge and evolve existing platform capabilities and stay up-to-date with new offerings.

Requirements:

  • 5 years of experience in software engineering
  • Hands-on experience working with public cloud technology (AWS Azure GCP)
  • Able to collaborate with scientists product management and work with an engineering-focused iterative team to build and establish product requirements
  • Comfortable building prototypes from scratch
  • Familiarity with AI concepts and hands-on experience with AI solutions
  • Experience with AWS SageMaker Azure Studio or similar cloud AI capabilities
  • Proficiency in modern programming languages particularly Python
  • Experience with relational and/or non-relational databases
  • Experience with Agile development and delivery Scrum Lean XP Kanban methodologies
  • Deep understanding of computer science concepts such as time and space complexity data structures and basic algorithms
  • Experience building ETL data pipelines
  • Hands-on DevOps experience CI/CD in AWS Git Monitoring Log Analytics

Bonus Points:

  • Knowledge of deep learning frameworks like TensorFlow PyTorch or Keras
  • Experience with containerization using Docker
  • Familiarity with infrastructure as code tools like Terraform
  • Understanding of security best practices and compliance regulations
  • Ability to work in a fast-paced environment and adapt to changing priorities

What We Offer:

  • Competitive salary and benefits package
  • Opportunities for growth and professional development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technology and tools
  • Recognition and rewards for outstanding performance

How to Apply:

To apply for this exciting opportunity please submit your resume and a cover letter explaining why you are the perfect fit for this role.

We look forward to hearing from you

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