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Machine Learning Expert

2 weeks ago

Goa, India beBeeDataScience Full time ₹ 18,00,000 - ₹ 25,00,000
Machine Learning Engineer

Job Description:

We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning, data science, and software engineering.

Responsibilities:

  • Analyze and correlate complex data from multiple sources
  • Perform exploratory data analysis to gain deeper understanding of the data
  • Work with stakeholders, including domain experts and product, to understand use cases and domain-specific problems and identify opportunities for applying machine learning to drive outcomes
  • Develop tools and algorithms for generating synthetic data sets
  • Define KPIs to measure model performance
  • Develop and test statistical and machine learning models for efficacy and operational impact
  • Write production quality code and work with other software engineering teams to deploy models into production
  • Support deployed models as a subject matter expert
  • Be creative and engineer novel features and methods to push beyond our current capabilities

Requirements:

  • Proven track record in research, data science, and engineering around building and shipping machine learning or statistical models that scale to high volumes of data (billions of data points)
  • Proficiency with Python and SQL
  • Experience using key ML libraries including scikit-learn, tensorflow, pytorch, sparkml
  • Experience with data fusion and data cleansing techniques for creating labelled data sets
  • Experience with developing synthetic data sets using generative and statistical modelling techniques
  • Understanding of classical ML and DNN modelling techniques for supervised and unsupervised learning and sequence modelling
  • Understanding of 3 of either PGMs, RL, GNN, statistical modelling, or time series modelling
  • Understanding of ensembles and multi modal machine learning techniques to solve complex problems

Benefits:

  • Familiarity of large-scale distributed systems and related technologies such as Spark, Elasticsearch, Kubernetes, etc. is a plus
  • Familiarity with cloud platforms (we use AWS here) and automation technologies (e.g., Kubernetes, Jenkins, Chef, etc.) is a plus
  • Familiarity with the information/cyber security domain is a plus

Security Requirements:

  • Conducts duties and responsibilities in accordance with AW s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity, and availability of AW business information assets
  • Must pass a criminal background check and an employment verification as a condition of employment