
We have an Excellent job Opportunity for "Applied Machine Learning Engineer" with one of thr Product based organization for Remote Working Mode or for Mumbai Location.
Job Responsibilities:
- Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
- Understanding the business objectives & defining the right target metrics to track performance & progress.
- Defining & building datasets with the appropriate representation techniques for learning.
- Training & tuning models. Running evaluation & test experiments on the models.
- Build ML pipelines end to end. (Everything MLOps.)
- Building pipelines for the various stages.
- Deploying models.
- Troubleshooting issues with models in production.
- Reporting results of model performance in production.
- Retraining, performance logging & maintenance.
- Help the business with insights for better decision-making. You will build many predictive models for internal business operations
you will derive insights from the trained models & data to help the product & business teams make better decisions.
Requirements:
- 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
- Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
- Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
- Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc. Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
- Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
- Experience with ML infrastructure & shipping models.
- Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
- Strong understanding of database systems & schema design. Proficient in SQL
Please let us know if you are interested in the above opening and if interested please let us know your
Current CTC :
Expected CTC :
Notice Period :
Relevant experience in Machine Learning :
Relevant experience in Deep Learning:
Relevant experience in NLP Applications:
Regards
Ashwini

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Writing clean, functional code on the front- and back-end
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Job Description: -
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