Codevian Technologies Pvt. Ltd.

ML Engineer

Pune, India

Codevian Technologies Pvt. Ltd.

ML Engineer

Pune, India

Job Description

  1. Aims & Goals: 

The primary aim of ML Engineer (ML Development Team) is to ensure that: 

  • Understand Pelican domain product knowledge. 
  • Discover the information hidden in vast amounts of data (mostly text), and help us make smarter decisions to deliver even better products 
  • Enhancing data collection procedures to include information that is relevant for building analytic systems 
  • Applying data mining techniques, doing statistical analysis, and building high quality analytical systems integrated with our products 

 

  1. Key Responsibilities: 
  • Understand Pelican domain product knowledge. 
  • Understand client requirements and configure Pelican product as per requirements. 
  • Data mining using state-of-the-art methods for NLP/ Text. 
  • Optimization of existing NLP & ML projects 
  • Developing and optimizing ETL pipelines from multiple sources of data 
  • Design and Develop APIs 
  • Processing, cleansing, and verifying the integrity of data used for analysis 
  • Developing analytical systems that can be used to present results in a clear manner 
  • Developing independent Proof of Concepts (PoC) for newer products 
  • Regular performance tracking of existing analytical models & systems. 
  1. Essential Skills: 
  • Should have experience in working on common data science toolkits, such as Python NumPy, Pandas, Scikit Learn etc. Excellence in at least one of these is highly desirable 
  • Should have experience in working on REST API 
  • Should have experience in working on Django, Flask framework 
  • Should have sound knowledge of machine learning project lifecycle 
  • Good to have sound knowledge of Python NLP frameworks such as Spacy, RASA, NLTK. 
  • Good to have sound knowledge of using query language such as SQL etc. 
  • Good to have working knowledge of NoSQL databases, such as MongoDB etc. 
  • Should have working knowledge of client-server communication. 
  • Exposure to Cloud frameworks such as AWS, GCP, Azure etc. will be an added advantage. 
  • Exposure to Deployment frameworks such as Flask, Docker, Kubernetes etc. will be an added advantage. 

 

  1. Additional Skills: 
  • Good communication and documentation skills. 
  • Should have inclination to adopt and learn new technology. 
  • Problem solver and Self initiator with minimal intervention 

Job Information

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Job Information

Work Experience

4+ years of Analytics experience & 1year ETL and API development (preferably REST).

Salary

Best in industry

Start Date

Immediate

Location

Mumbai (Onsite)

Qualification

  • B.Sc / B.E/ B.Tech 
  • Masters/ Certifications (Optional) 

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Technical Skill

  1. Aims & Goals: 

The primary aim of ML Engineer (ML Development Team) is to ensure that: 

  • Understand Pelican domain product knowledge. 
  • Discover the information hidden in vast amounts of data (mostly text), and help us make smarter decisions to deliver even better products 
  • Enhancing data collection procedures to include information that is relevant for building analytic systems 
  • Applying data mining techniques, doing statistical analysis, and building high quality analytical systems integrated with our products 

 

  1. Key Responsibilities: 
  • Understand Pelican domain product knowledge. 
  • Understand client requirements and configure Pelican product as per requirements. 
  • Data mining using state-of-the-art methods for NLP/ Text. 
  • Optimization of existing NLP & ML projects 
  • Developing and optimizing ETL pipelines from multiple sources of data 
  • Design and Develop APIs 
  • Processing, cleansing, and verifying the integrity of data used for analysis 
  • Developing analytical systems that can be used to present results in a clear manner 
  • Developing independent Proof of Concepts (PoC) for newer products 
  • Regular performance tracking of existing analytical models & systems. 
  1. Essential Skills: 
  • Should have experience in working on common data science toolkits, such as Python NumPy, Pandas, Scikit Learn etc. Excellence in at least one of these is highly desirable 
  • Should have experience in working on REST API 
  • Should have experience in working on Django, Flask framework 
  • Should have sound knowledge of machine learning project lifecycle 
  • Good to have sound knowledge of Python NLP frameworks such as Spacy, RASA, NLTK. 
  • Good to have sound knowledge of using query language such as SQL etc. 
  • Good to have working knowledge of NoSQL databases, such as MongoDB etc. 
  • Should have working knowledge of client-server communication. 
  • Exposure to Cloud frameworks such as AWS, GCP, Azure etc. will be an added advantage. 
  • Exposure to Deployment frameworks such as Flask, Docker, Kubernetes etc. will be an added advantage. 

 

  1. Additional Skills: 
  • Good communication and documentation skills. 
  • Should have inclination to adopt and learn new technology. 
  • Problem solver and Self initiator with minimal intervention 

Job Information

Qualification

  • B.Sc / B.E/ B.Tech 
  • Masters/ Certifications (Optional) 

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