Description

Key Skills: Data Science, AI Artificial intelligence, Pytorch, AWS, GCP.

Roles and Responsibilities:

  • Lead the design, development, and deployment of end-to-end AI/ML systems in production environments.
  • Build and guide high-performing AI teams, fostering innovation and engineering excellence.
  • Drive reliability, scalability, and maintainability in AI solutions across the full delivery lifecycle.
  • Collaborate with cross-functional teams including data, platform, and full-stack engineers to deliver integrated AI solutions.
  • Champion best practices in MLOps, including CI/CD for ML, model versioning, deployment, and monitoring.
  • Ensure AI solutions are well-architected, reusable, and aligned with business processes and enterprise architecture standards.
  • Participate in engineering reviews and drive reusability, quality, and continuous improvement.
  • Navigate and deliver solutions amidst evolving business priorities and ambiguity, with a strong bias for action.
  • Engage with industry forums and stay ahead of emerging AI trends, technologies, and regulatory concerns.
  • Advocate for ethical and responsible AI practices, ensuring privacy, security, and model explainability.

Experience Requirements:

  • Proven track record in leading the development and productionization of advanced AI/ML systems.
  • Strong leadership experience in managing and mentoring AI/ML teams.
  • Hands-on expertise with deep learning, NLP, LLMs, and classical ML techniques.
  • Solid experience with cloud platforms (GCP, AWS, or Azure), production ML pipelines, and MLOps practices.
  • Familiarity with large-scale datasets, distributed processing (e.g., Spark, Beam), and real-time data environments.
  • Extensive experience in model experimentation, tuning, optimization, and statistical evaluation.
  • Proficient in working with APIs, full-stack system integration, and delivering AI features in productized environments.
  • Knowledge of ethical AI, privacy-aware development, and secure model deployment practices.

Education:  Any Post Graduation, Any Graduation

Education

Any Graduate