AI/ML with MLOps Lead Engineer

T2 Innovations - AI/ML with MLOps Lead Engineer

Job roles and responsibilities:

  1. 4 to 5 Years Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models
  2. Experience writing software in one or more languages such as Python, Scala, R, or similar with strong competencies in data structures, algorithms, and software design
  3. Experience working with recommendation engines, data pipelines, or distributed machine learning
  4. Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano)
  5. Knowledge of data analytics concepts, including bigdata, data warehouse technical architectures, ETL and reporting/analytic tools and environments
  6. Participate in cutting edge research in artificial intelligence and machine learning applications
  7. Contribute to engineering efforts from planning and organization to execution and delivery to solve complex, real world engineering problems
  8. Working knowledge on different Algorithms and Machine Learning techniques like, Linear & Logistic Regression analysis, Segmentation, Decisions trees, Cluster analysis and factor analysis, Time Series Analysis, K-Nearest Neighbour, K-Means algorithm, Random Forests Algorithm, NLP (Natural language processing), Sentimental analysis, various Artificial Neural Networks, Convolution Neural Nets (CNN), Bidirectional Recurrent Neural Networks (BRNN)
  9. Demonstrated excellent communication, presentation, and problem-solving skills

Technical Skills Required:

  1. GCP Native AI/ML services like Vision, NLP, Document AI, Dialogflow, CCAI, BQ etc.,
  2. Proficiency with a deep learning framework such as TensorFlow or Keras, etc.,
  3. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas, jupyter notebook
  4. Expertise in visualizing and manipulating big datasets
  5. Ability to select hardware to run an ML model with the required latency
  6. Good to have MLOps and Kubeflow knowledge
  7. GCP ML Engineer Certification would be a PLUS

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