Machine Learning

6 days ago


Bengaluru Chennai Pune, India Photon Full time ₹ 1,04,000 - ₹ 1,30,878 per year

About The Role  

Location:  Pune, India

Role Overview: 

We are seeking a Senior Machine Learning Software Engineer  to join our team and drive the development of cutting-edge AI/ML solutions . You will play a key role in designing, building, and optimizing  our machine learning infrastructure  while collaborating with Product Managers, Data Scientists, and Engineers  to bring innovative models into production. The ideal candidate should have a strong background in ML operations, software engineering, and automation  to ensure a scalable and robust AI-driven ecosystem.

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.


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