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Codvo AI · IT - Software Development

Senior Machine Learning Engineer

India, Delhi / Bangalore · Job Posted June 03, 2026
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Job Description

Job Requirement – Senior Machine Learning Engineer. Location – Delhi / Bangalore. Company Overview: At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline
  • PhD’s preferred
  • Specialization or research in applied machine learning, MLOps, or ML systems preferred
  • 7+ years of experience designing, developing, and deploying ML models in production environments
  • 4+ years of experience in building predictive models like classification, time series modelling etc.
  • 1+ year of experience in areas such as recommendation systems, pattern recognition, NLP
  • Experience with production-grade Python (preferred), as well as Java or C/C++
  • Hands-on experience with large-scale software architecture, APIs, and model versioning systems

Nice to have

  • Experience in regulated industries (e.g., finance, healthcare, insurance)
  • Excellent communication and stakeholder engagement skills
  • Strong understanding of deep learning architectures (e.g. CNNs, RNNs, Transformers, GANs)
  • Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.)
  • Proficiency in model evaluation, distributed training, and hyperparameter optimization
  • Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search)
  • Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes)
  • Proficient in API and Microservices technologies
  • Track records in large-scale, real-time AI/GenAI/ML database and solution technologies
  • Background in responsible AI/ML, model interpretability, and fairness auditing
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