Senior Machine Learning Developer

4 days ago

Alwar, Rajasthan, India beBeeArtificial Full time US$ 1,80,000 - US$ 2,10,000

Are you a skilled engineer looking to make a meaningful impact in the field of artificial intelligence?

About the Role:

The AI Engineering team transforms how millions access personalized nutrition and care. The Staff AI Engineer will design and deploy solutions driving real-world impact like tailoring communications and improving engagement.

Key Responsibilities:
  • Develop scalable, high-performance backend applications using TypeScript, Node.js, and relational databases like PostgreSQL or MySQL
  • Build and maintain APIs and microservices for real-time and batch inference of AI/ML models
  • Fine-tune and adapt pre-trained models for specific business use cases
  • Integrate external AI services where appropriate
  • Collaborate with cross-functional teams to deliver end-to-end AI-powered features
  • Contribute to MLOps workflows including deployment, versioning, and monitoring of models in production
  • Follow engineering best practices for clean code, testing, observability, and reliability
  • Stay up-to-date with advancements in AI tooling and infrastructure to improve system performance and model impact
Requirements:
  • Strong backend engineer with experience building robust systems and passion for applied AI
  • Proficient in Node.js, TypeScript, and SQL with experience delivering production-grade services
  • Familiar with deploying and integrating ML models into applications including fine-tuning pre-trained models
  • Comfortable working across backend systems and AI pipelines
  • A team player with excellent communication and collaboration skills
  • Detail-oriented and proactive about writing secure, maintainable, and scalable code
You Have:
  • 8+ years of professional software engineering experience
  • 3+ years of backend development with TypeScript and Node.js
  • 3+ years of hands-on experience deploying AI/ML models (e.g., Hugging Face, OpenAI, or similar frameworks)
  • Strong proficiency with SQL and experience using PostgreSQL or MySQL
  • Familiarity with cloud platforms (AWS, GCP) and CI/CD pipelines
  • Exposure to MLOps tools such as Docker, Kubernetes, MLflow, or Airflow
  • Bachelor's degree in Computer Science, Engineering, or a related technical field

This is an exciting opportunity to join our cutting-edge team and contribute to shaping the future of AI-driven solutions. If you're passionate about innovation and making a difference, we encourage you to apply.

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