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Applied Machine Learning Engineer
Product Based
Applied Machine Learning Engineer
Product Based's logo

Applied Machine Learning Engineer

at Product Based

2 - 6 yrs
₹6L - ₹20L / yr
Remote, all over india
Skills
skill iconMachine Learning (ML)
skill iconDeep Learning
Artificial Intelligence (AI)
Hi ,

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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Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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