Advancing AI Infrastructure

5 days ago

Delhi Mumbai Pune, India beBeeSoftware Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Senior Machine Learning Software Engineer

As a Senior Machine Learning Software Engineer, you will play a key role in designing, building, and optimizing our machine learning infrastructure. Our team collaborates with Product Managers, Data Scientists, and Engineers to bring innovative models into production.

Key Responsibilities:

  • Operationalize leading data and analytics technologies while following best practices.
  • Partner with Product Managers to understand customer requirements, design prototypes, and deploy solutions to production.
  • Design, build, harden, and maintain the core infrastructure supporting the ML platform and lifecycle.
  • Define and contribute to the technology strategy, roadmap, and priorities for AI/ML initiatives.
  • Automate every aspect of the ML infrastructure to minimize human intervention and improve efficiency.
  • Encourage and implement best practices in data engineering and software development.
  • Write high-quality, production-grade code that aligns with company standards and contribute to new standardization efforts.
  • Implement automated testing to ensure reliability and correctness of ML models and infrastructure.
  • Review and mentor other engineers to promote high-quality engineering practices.
  • Actively participate in technical communities-of-practice and continuing education programs to advance personal and organizational growth.
  • Facilitate problem diagnosis and resolution across technical and functional areas.

Required Skills & Competencies:

  • 8+ years of experience in software engineering, machine learning, or data engineering.
  • Expertise in designing, coding, and scripting to develop real-world AI/ML solutions.
  • Strong programming skills in Python, Java, or Scala with hands-on experience in ML frameworks.
  • Experience with ML model deployment, MLOps, and automation.
  • Proficiency in cloud-based ML solutions.
  • Knowledge of data pipeline orchestration tools.
  • Strong background in data engineering concepts.
  • Experience working with containerization.
  • Strong analytical and problem-solving skills with a collaborative mindset.
  • Excellent communication and leadership skills with the ability to mentor and guide junior engineers.

Role Overview:

This is a challenging opportunity for a skilled engineer to drive innovation in AI/ML and lead cross-functional teams.

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