AI Architect

1 month ago


Bengaluru, Karnataka, India Bosch Full time
Job Title: AI Architect

Job Summary:

We are seeking an experienced AI Architect to lead the design and implementation of AI/ML/NLP/Computer Vision and MLOps solutions across our team of Data Scientists, Data Engineers, ML Engineers, Cloud, Analytics, DevOps, and Visualization teams.

Key Responsibilities:

  • Lead the architecture, design, and implementation of AI/ML/NLP/Computer Vision and MLOps solutions
  • Collaborate with cross-functional teams to analyze complex problems and translate them into data science algorithms
  • Develop and maintain authoritative expertise in data science to influence stakeholders across various work streams and geographical locations
  • Experience in machine learning, supervised and unsupervised, including forecasting, classification, data/text mining, NLP, search algorithms, and deep learning algorithms
  • Experience with MLOps frameworks like Kubeflow, MLFlow, Airflow Pipelines, and workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
  • Exposure to deep learning approaches and modeling frameworks, including PyTorch, TensorFlow, Keras, and libraries like Lime, Shap, and others
  • Strong implementation experience with Python, familiarity with Linux/Unix/Shell environments, and experience with big data, including identifying trends, patterns, and outliers in large volumes of data
  • Experience with Hive/Spark/Teradata and NoSQL databases, code versioning tools like Git, BitBucket, and building CI/CD pipelines for ML projects
  • Experience in productionizing ML models in cloud platforms like AWS/GCP/Azure, and good to have experience in building automated/semi-automated model retraining pipelines
  • Superior verbal, visual, and written communication skills to educate and work with cross-functional teams on controlled experiments
  • Candidates with prior publications in the field of data science are highly preferred

Requirements:

  • BE/MCA/BTech or MTech degree
  • 10+ years of experience working with large data sets or doing large-scale quantitative analysis

Additional Information:

10+ years of experience



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