Key Accounts Manager

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

About the Company

Our client is a leading manufacturer of TMT Bar and exporter in India. They are a well known group that achieves a turn over of 3000 Cr per annum. The group is setting a construction & architecture oriented omni channel B2B & B2C platform. Merito, a curated talent platform is responsible to identify key resources for this project.

Job Location: Kolkata

Job Description

• Full stack e-commerce developer is responsible for writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performance applications 
• Implementation of security and data protection 
• Understanding of performance testing and optimization techniques 
  
  

Requirements

• Fullstack developer should have the ability to translate Wireframes and PSD Designs into functional web apps.
• Binding of UI elements to JavaScript object models
• Creating RESTful services with Node.js
• Fullstack developer must have proven experience in front & back-end development
• Work in a cross-functional team to deliver a complete user experience
• Reactjs Nodejs developer must know MongoDB, Express, Node.js, & React.
• Create Unit and Integration tests to ensure the quality of code
• Be responsive to change requests and feature requests
• Write code that is cross-platform and cross-device compatible
• Full developer must have the ability to wear many hats and learn new technologies quickly
• Understanding & proficiency in REST APIs.
• Fullstack developer should know Git Repository and Jira.

• Communicating with hiring managers to identify future job openings and the technical requirements for those jobs.
• Writing job descriptions and posting to relevant media platforms.
• Screening applicants for competency with the job requirements.
• Arranging telephone, video, or in-person interviews.
• Performing background and reference checks.
• Presenting the resumes of the most suitable candidates to the hiring manager.
• Offering job positions and completing the relevant paperwork.
• Keeping track of all applicants as well as keeping applicants informed on the application process.
• Forecasting recruitment budgets.