AI Engineering Lead

2 weeks ago


Pune, Maharashtra, India Wolters Kluwer (India) Private Limited Full time
Job Summary

We are seeking an experienced AI Engineering Lead to join our Advanced Technology team in the Digital eXperience Group at Wolters Kluwer. The successful candidate will lead the development of cutting-edge artificial intelligence and machine learning solutions to drive business growth and improve customer experiences.

About the Role

In this role, you will be responsible for leading the design, development, and deployment of AI and ML models that drive business outcomes. You will collaborate with cross-functional teams to identify opportunities for AI-driven innovation and develop strategic plans to execute these initiatives.

Key Responsibilities
  • Lead the development of predictive models using supervised and unsupervised machine learning/deep learning techniques
  • Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting, and anomaly detection
  • Provide expertise in data wrangling, exploratory data analysis, and feature engineering with large datasets
  • Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development teams
  • Collaborate effectively with other teams across DXG and Wolters Kluwer
Qualifications
  • Undergraduate or Graduate degree (MS or PhD) in Computer Science, Engineering, Mathematics, or equivalent, specializing in machine learning or a related field
  • 3+ years' experience in supporting the development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning
  • Strong hands-on expertise in Python and open-source libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, Jupyter, Anaconda, transformers, etc.
  • Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch
  • Experience in applying deep learning to NLP
  • Computer vision modeling a plus
  • Experience with designing, building, and optimizing data and model training pipelines
  • Experience in SageMaker or Azure ML Studio a plus
  • Experience with cloud-based platforms (AWS or Azure) for solution delivery
Compensation Package

We offer a competitive salary range of $120,000 - $180,000 per annum, depending on experience, plus additional benefits including health insurance, retirement plan, and paid time off.


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