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AI Research Manager

AI Research Manager

PerfiosBengaluru, Republic Of India, IN
4 days ago
Job description

What your average day would look like :

  • Collaborate with product and engineering teams to understand requirements and devise possible solutions.
  • Explore existing research papers, ideas and codebases that can be leveraged in current tasks.
  • Search for open source datasets and / or design synthetic data pipelines (including data augmentation).
  • Devise and implement experiments using DL / ML models.
  • Evaluate the experiments to find failure patterns and come up with improvements in data / model architecture / loss function etc.
  • Communicate results and ideas to key stakeholders.
  • Optimize the models for production and collaborate with software engineers for deployment.

Must have skills :

  • Hands-on experience in dealing with image data and CNN based architectures
  • Should have worked on deep learning frameworks (like pytorch, tensorflow, keras etc.)
  • Proficient in Python and packages like Numpy, Pandas, OpenCV
  • Good understanding of data structures and algorithms along with OOPS, Git, SDLC
  • Mathematical intuition of ML and DL algorithms
  • Good understanding of Statistics, Linear Algebra and Calculus
  • Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical analyses
  • Highly desired :

  • Hands on experience with latest computer vision model architectures and concepts like ViTs, GANs, Diffusion, Vision Language Models
  • Knowledge of training and inference optimizations using CUDA, C++, ONNX, TensorRT, OpenVino etc. and profiling of ML pipelines
  • Worked on building production level APIs for serving models (Flask, Django, TF Serving)
  • Hands-on experience of using MLOps tools.
  • Lead and mentor a team of junior data scientists and analysts, providing technical guidance, code reviews, and career development support.
  • Oversee the end-to-end delivery of data science projects by coordinating with cross-functional teams and ensuring alignment with business goals.
  • Manage a team of data professionals, fostering a collaborative and innovative work environment to drive analytics excellence.
  • Act as a technical lead in projects, taking ownership of team deliverables, timelines, and quality assurance of data models and analytics solutions.
  • Facilitate regular team meetings, set goals and priorities, and monitor progress to ensure efficient execution of data-driven initiatives.
  • Collaborate with product managers, business stakeholders, and engineering teams while managing a high-performing team of data scientists.
  • Champion best practices in data science, model development, and deployment while promoting a culture of continuous learning within the team.
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    Manager Research • Bengaluru, Republic Of India, IN

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