Senior Machine Learning Engineer - Python

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
  

(ref:hirist.tech)