Applied Machine Learning Engineer

Product Based

Applied Machine Learning Engineer

Applied Machine Learning Engineer at Product Based · Remote, all over india · 2 - 6 years · ₹6L - ₹20L / yr · Remote friendly · Posted 18 May 2022

Applied Machine Learning Engineer

at Product Based

Agency job

via Gipfel & Schnell Consultings Pvt Ltd

2 - 6 yrs

₹6L - ₹20L / yr

Remote, all over india

Skills

Machine Learning (ML)

Deep 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

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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Business Development

Field Sales

*Direct sales of residential & commercial properties by presentation and demonstration of the features and benefits of the available property. *Generation of new leads by distinguishing direct emails to the prospective customers. *Identifying and reporting on business opportunities in target markets &maximizing new business development opportunities. *Establish and Maintain relationship with high-value clients and providing required solutions for their financial and investment needs. *Ensuring Channel Development, through retail distributors & Channel partners and daily monitoring & follow-up process for driving sales through the Channel Partners, Brokers or Freelancers. *Achieving sales targets as per designated budgets using market intelligence. *Implementing innovative ideas for a lead generation. *Conducting detailed market study to analyze the latest market trends and tracking competitor activities and providing valuable inputs for fine-tuning the selling and the marketing strategies *Convert prospects to closed sales. *Responsible for handling queries related to the site. *Strong networking with customers for Sales and further reference for sale. *Must be able to do self-sourcing.

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