Aurangabad, Maharashtra, India
Information Technology
Full-Time
MindWise Technologies
Overview
Responsibilities
- Develop best-in-class ML models, train, evaluate performance, and optimize models.
- Productionize ML models, collaborate with data engineers and ML Ops to deploy models into production while ensuring scalability.
- Monitor and evaluate the performance of ML models.
- Analyze to extract insights from data.
- Collaborate with data engineers to build scalable data pipelines.
- Proficiency in developing and deploying machine learning and deep learning models.
- Expertise in Python and SQL with strong knowledge of Python-based ML/DL frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn.
- Extensive experience with statistical modeling (regression, trees, boosting, random forests, etc. ).
- Proficiency in working with large, tabular datasets and applying data science techniques for data analysis.
- Experience in leveraging Generative AI, transformer architecture (BERT, GPT, etc), and proficiency in working with embeddings.
- Good understanding of Natural Language Processing (NLP), Text Preprocessing, Text Classification, and Entity Recognition.
- Experience with cloud platforms (e. g. AWS) and related services.
- Experience in monitoring ML models in production, ensuring robust health and performance while enabling continuous improvement.
- Experience with RDBMS, NoSQL, and vector databases.
- Knowledge of REST APIs and Web Services.
- Solid understanding of data structures, algorithms, and software engineering.
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