Senior Machine Learning Engineering Lead

1 week ago


Hyderabad, Telangana, India Verisk Full time
Job Title: Senior Machine Learning Engineer I

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team at Verisk. This is an exciting opportunity for a talented individual with expertise in machine learning, deep learning, computer vision, and natural language processing.

About the Role

This role requires strong background knowledge of developing and implementing ML/DL models to solve complex problems. The ideal candidate will have experience in designing, building, and deploying machine learning and deep learning models for various applications in computer vision and natural language processing.

Responsibilities
  • Design and develop machine learning and deep learning models using Python and popular frameworks such as TensorFlow or PyTorch.
  • Implement cutting-edge techniques in computer vision and natural language processing to solve challenging problems.
  • Collaborate with cross-functional teams including data scientists, engineers, and product managers to understand requirements and deliver solutions.
  • Perform data collection, pre-processing, and analysis to prepare datasets for training and testing models.
  • Optimize and tune models for performance, accuracy, and scalability.
  • Document methodologies, processes, and results. Communicate findings and progress to stakeholders.
Qualifications
  • Bachelor's degree in computer science, engineering, mathematics, or a related field with at least 4 years of relevant work experience.
  • Master's degree in computer science, engineering, mathematics, or a related field with at least 2 years of relevant work experience.
  • Research degree (MS by Research) or in a related field.
Required Skills
  • Solid programming skills in Python.
  • Familiarity with data manipulation and analysis libraries such as Pandas and NumPy.
  • Strong proficiency in machine learning and deep learning frameworks such as TensorFlow, PyTorch, Keras, or similar.
  • Knowledge of popular machine learning algorithms and techniques.
  • Deep understanding of deep learning architectures such as CNNs, RNNs, LSTMs, transformers, and multi-modal models like CLIP and BLIP.
  • Experience with image classification, object detection, recognition, generative models, Visual Question Answering (VQA) models, and image captioning.
  • Familiarity with basic image processing and text processing techniques.
  • Proficiency in natural language processing techniques and libraries such as SpaCy, BERT, Transformers, or similar.
Compensation and Benefits

The salary range for this position is approximately $140,000-$170,000 per year, depending on location and experience. We also offer a comprehensive benefits package, including health insurance, retirement savings plan, paid time off, and professional development opportunities.



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