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Senior Machine Learning Engineer

2 weeks ago

Chennai, Tamil Nadu, India Delphie Consulting services Full time US$ 1,20,000 - US$ 2,00,000 per year

Job Summary
We are seeking an experienced and skilled Senior Machine Learning Engineer with a strong background in Python and hands-on expertise in building and deploying machine learning models.

The ideal candidate will possess deep knowledge of machine learning algorithms, Unix-based operating systems, and modern software development practices.

This is a critical role that combines data science, engineering, and agile product development to solve real-world problems.

Key Responsibilities

  • Design, develop, and deploy machine learning models using Python and libraries such as Scikit-learn, TensorFlow, or PyTorch.
  • Apply machine learning techniques including supervised and unsupervised learning methods (e.g, classification, clustering).
  • Implement and optimize clustering algorithms like K-Means, Fuzzy Clustering, or DBSCAN.
  • Work on data preprocessing, feature engineering, model evaluation, and model tuning.
  • Collaborate with cross-functional teams in an Agile environment.
  • Manage version control and codebase using Git.
  • Operate within Unix-based environments (preferably RHEL).
  • Interact with relational databases such as Oracle for data access and manipulation.
  • Document and track development tasks using project management tools.

Required Skills

  • Programming Languages : Python
  • Machine Learning : Strong understanding of ML algorithms, model training, and libraries (Scikit-learn, TensorFlow, PyTorch)
  • ML Concepts : Supervised/Unsupervised learning, Classification, Clustering (e.g, K-Means, DBSCAN, Fuzzy)
  • Operating Systems : RHEL or any Unix-based OS
  • Databases : Oracle or similar RDBMS
  • Version Control : Git
  • Development Methodologies : Agile/Scrum

Desired Skills

  • Experience with issue tracking and lifecycle tools like Azure DevOps or JIRA
  • Exposure to Big Data models, libraries, and processing frameworks
  • Familiarity with data science workflows and techniques

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