Assistant Manager – ML Engineer

Job Description:

About Company:
  • LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence.
  • We specialize in Predictive Modeling, Marketing Analytics, Big Data Analytics, Advanced Analytics, Web Analytics, Data Science, Data Engineering, Artificial Intelligence and Machine Learning Applications.
  • LatentView Analytics is a trusted partner to enterprises worldwide, including more than two dozen Fortune 500 companies in the retail, CPG, financial, technology and healthcare sectors.

Job Description:
  • Combine statistics, NLP, and machine lear:ning techniques to create scalable solutions for business problems.
  • Extensive ML and Deep Learning (NLP focus) experience.
  • Hands-on experience with text preprocessing, named entity recognition and entity linking, topic modeling, document classification, and summarization.
  • Expertise in any 4 to 7 Data Science Models – Hypothesis Testing, Linear Regression, Logistic Regression, Clustering, ANOVA, Principal Component Analysis, Conjoint -Analysis, Neural Networks, Decision Trees, Ensemble Methods -Focus on scalability, performance, service robustness, and cost trade-offs
  • Experience in IT Operations involving AWS/Snowflake/Azure cloud Infrastructure, Machine Learning and Predictive Analytics.
  • Knowledge on ML model deployment and experience in ML model life cycle management.
  • Knowledge of Sagemaker/Azure ML and Client facing experience is an added advantage.
  • Excellent experience in understanding the problem statement, architecture and designing the solution. Experience in building large scale data processing and ML pipelines.
  • Hands-on experience in deploying machine learning models in cloud Infrastructure.
  • Passion for the engineering process required to train ML/AI models at scale in the cloud.
  • Good understanding of ML Ops process, preferably on cloud/experience in applying machine learning techniques and algorithms.
  • Experience in Containerizing the ML models and model serving process.
  • Good understanding and experience of Model monitoring frameworks
  • Experience with containers and microservice architectures e.g., Kubernetes, Docker and server less approaches.
  • Knowledge of Deep Learning frameworks: Keras, Tensor flow, PyTorch

Job Overview

Experience: 4.5-8

Location: INDIA – Chennai

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