ML LEAD

Full time @Recruitment Team in Data Science & Big Data
  • Delhi, India View on Map
  • Salary: ₹2,000,000.00 - ₹4,000,000.00 / Yearly
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Job Detail

  • Experience 4 - 8 years

Job Description

About Company: The company is a lab-based data science consultancy, that provides Data Science-as-a-Service & Implementation. Focuses on developing tools and applications to disrupt business domains and create value through intellectual property and transformative solutions leveraging the power of ML and AI.

  • You will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.

What You’ll Do 

  • Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
  • Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
  • Design and manage CI/CD pipelines. 
  • Lead the team in developing practices for robust and efficient deployment of models. 
  • Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs. 

What You’ll Need 

  • 4+ years of experience in working on Machine Learning Projects 
  • Specialist in either Natural Language Processing, Vision or Speech
  • A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science 
  • A solid understanding of statistical modelling/machine learning/data mining 
  • Proficiency in Python and AWS machine learning packages 
  • Experience with Python web framework, e.g. Flask or FastAPI 
  • Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
  • Experience in a cloud environment for software development and deployment (AWS preferred)
  • Excellent communication skills and ability to articulate a complex concepts
  • Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku. 
  • Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.

Note: We appreciate every application, however, due to a high volume of applicants, only shortlisted candidates will be contacted.

 

Required skills