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Junior/Senior Machine Learning Engineer (Meltwater India)
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Media Intelligence


Software Development


Mid level

Applications are considered on a rolling basis

Location: Bengaluru

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Job Description

Meltwater is looking for full-time Machine Learning Engineers to join Meltwater's AI unit in Bengaluru (Karnataka – India). You will be joining a team of 70+ engineers, product designers, and data scientists across the world and help us building the next generation AI-driven insights platform.


  • Required: Master Degree in Computer Science or Engineering with good honours
  • Desired: PhD Degree in Computer Science or Engineering with good honours

Your responsibilities include, but are not limited to:

  • Implement highly scalable Natural Language Processing (NLP) and Data Science services capable of processing extremely large volumes of data (in the order of several billions of documents per day).
  • Contribute to the design of highly available, highly scalable, machine learning workflows.
  • Being part of our on-call rotations.
  • Show curiosity, ownership and pride in your work.

Salary: Between 20-35 lakh rupees based on experience, qualifications, and the performance at the interview.

Note to candidates and recruiters: At Meltwater, we see engineering excellence as a basic requirement. All candidates undergo a rigorous screening (coding tests, system architecture design, cultural fit) regardless of the position applied for. A candidate failing the basic screening questions may trigger the blacklisting of the recruiter and/or his recruiting agency from providing candidates to Meltwater for the next 6 months.

Skills & Requirements

Must haves

  • Strong working knowledge (at least 2 years) of both Java and Python, especially REST/HTTP micro-service design and implementation (e.g., spring-boot, gunicorn, Flask, Django).
  • Strong working knowledge (at least 2 years) of machine learning frameworks, in particular TensorFlow and Keras.
  • Good knowledge of data analysis and machine learning, in particular around Natural Language Processing.
  • Good knowledge of AWS.
  • Familiarity with infrastructure as code (e.g., Terraform, Cloudformation, Chef, Serverless), continuous integration and deployment (e.g., CircleCI, Drone.io, Jenkins), configuration management, dependency management (e.g., Maven, Gradle, PyPi), containerization technologies, e.g., Docker.
  • Experience with performance-driven design.
  • Good knowledge of Unix/Linux systems and bash/shell scripting.

Nice to haves

  • Experience with micro-service implementations via websockets or async protocols, e.g., AMQP.
  • Experience in messaging systems (e.g., Kafka, RabbitMQ, ActiveMQ, Kinesis).
  • Experience with data analysis tools, e.g., Jupyter, Tableau.
  • Experience with container orchestration, in particular Kubernetes, and AWS ECS.
  • Experience with other ML frameworks, e.g., PyThorch, DeepLearning4J.
  • AWS Developer Certification
About the company

Meltwater, a pioneer of media intelligence and now Outside Insight, gives businesses the information advantage they need to stay ahead. More than 35,000 companies have used Meltwater’s media intelligence to stay on top of billions of online conversations and extract relevant insights to strategically manage their brands. Meltwater is dedicated to personal, global service built on the local expertise of 55 offices across six continents. Meltwater is also committed to fostering the data science ecosystem through MEST, a pan-African entrepreneurial program and incubator, and Shack15, a global data science community. Learn more at meltwater.com.

All of our solutions are fully web-based, offered as a service, and based on a modern technology stack. This is your opportunity to be part of a small agile team within a big multinational organization!

We are more than 2000 people across the globe (50 offices, 6 continents), so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun.

Read our underthehood blog to see which problems our engineers are solving. Also have a look at what life is like at Meltwater and visit our company profiles on LinkedIn, Xing, Facebook, and Twitter.

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