7 - 12 years

11 - 15 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

As a key member of our team, you ll be at the forefront of innovation in IoT, working on next-generation AI and ML technologies that power real-world outcomes. You ll collaborate with a cross-functional team engineering, data science, IT, and products to turn research into production systems that drive business value. You ll be empowered to establish standards, mentor teams, and build solutions that scale globally.
With a flexible hybrid working schedule , youll enjoy the best of both worlds engaging in-person collaboration at our Hyderabad, India office while also benefiting from the autonomy of remote work.

What You ll Do:

  • Architect and design end-to-end infrastructure and reference architectures for deploying GenAI and ML models into production environments.
  • Define best practices for packaging, APIs, containerization, and Infrastructure-as-Code (IaC) patterns to enable modular and reusable deployment frameworks.
  • Design and build pipelines for model training, validation, deployment, rollback, and monitoring.
  • Support both batch and real-time inference workloads, optimizing for cost, performance, and reliability.
  • Establish monitoring, alerting, and drift detection mechanisms to maintain model health and detect anomalies.
  • Automate workflows through CI/CD and continuous training pipelines, versioning, and automated testing of models.
  • Collaborate with data scientists, product, and IT teams to integrate models and iterate on production insights.
  • Optimize infrastructure for reliability, GPU/TPU utilization, and cost efficiency.
  • Ensure governance, compliance, and responsible AI practices, including model version control, security, bias mitigation, and regulatory standards..

Who You Are:

You re a detail-oriented professional with a talent for ensuring accuracy and managing multiple priorities. If you have:
  • You hold a bachelor s degree (or equivalent experience) in Computer Science, Engineering, or a related field.
  • You bring 7+ years of experience in software engineering, DevOps, or cloud infrastructure, with at least 3 years focused on AI/ML deployment.
  • Hands-on expertise in one or more cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes).
  • Proficiency with MLOps frameworks and tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks.
  • Strong coding skills (Python preferred) and familiarity with APIs, CI/CD, data pipelines, and automation.
  • Solid understanding of Generative AI, large language models (LLMs), embeddings, and vector databases (or a willingness to learn quickly).

Preferred Qualifications:

  • Master s degree in Computer Science, Data Engineering, or a related area.
  • Experience deploying and scaling LLM or GenAI applications in production environments.
  • Knowledge of model drift detection, bias mitigation techniques, and frameworks for Responsible AI.
  • Experience working in regulated or security-sensitive environments is a plus.

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