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AIML Engineer @ Genpact

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 AIML Engineer

Job Description

  • Role & responsibilities
  •    Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products
  •    Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers
  •    Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services
  •    Build and implement machine learning models and prototype solutions for proof-of-concept
  •    Scale existing ML models into production on a variety of cloud platforms
  •    Analyze and resolve architectural problems, working closely with engineering, data science and operations teams

Preferred candidate profile

Minimum Qualifications / Skills

  •    Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field
  •    Masters degree is a plus
  •    Integration APIs, micro-services and ETL/ELT patterns
  •    DevOps (Good to have) Ansible, Jenkins, ELK
  •    Containerization Docker, Kubernetes etc
  •    Orchestration Airflow, Step Functions, Ctrl M etc
  •    Languages and scripting: Python, Scala Java etc
  •    Cloud Services - AWS, GCP, Azure and Cloud Native
  •    Analytics and ML tooling Sagemaker, ML Studio
  •    Execution Paradigm low latency/Streaming, batch

Preferred Qualifications/ Skills

  •    Data platforms Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.)
  •    Visualization Tools - PowerBI, Tableau

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Genpact
Location(s): Hyderabad

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Keyskills:   Python Tensorflow Pytorch Jenkins Hadoop AWS

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