Analyst - Machine Learning, Python

HCLTech; Chicago (IL); On-site; USD 75,000 - 115,000; Full time

Job summary

HCL Technologies Limited in Chicago is seeking a Machine Learning Analyst to translate design specifications into data-driven insights. You will work with Python and SQL to analyze datasets, validate model outputs, and communicate findings to stakeholders.

The role involves building and refining ML models using TensorFlow and PyTorch, performing quality checks, and preparing detailed methodologies to guide analyses and ensure alignment with business objectives.

Qualifications

• Fundamental knowledge of machine learning concepts and algorithms.
• Basic Python for data manipulation and analysis.
• Familiarity with SQL for querying and managing data.
• Basic knowledge of TensorFlow and PyTorch frameworks for model development.

Responsibilities

• Analyze datasets using Python and SQL to identify patterns and ensure accuracy.
• Validate ML model outputs and prepare reports for stakeholders.
• Develop and refine ML models using TensorFlow and PyTorch to boost predictive accuracy.
• Perform quality checks throughout the ML lifecycle to ensure data integrity.
• Gather requirements and outline methodologies for analysis using ML best practices.

Skills

ML concepts & algorithms

Python for data manipulation

SQL querying

Model evaluation & governance

Tools

TensorFlow

PyTorch

Job description

Career Opportunities: Analyst - Machine Learning, Python (170815)

Requisition ID170815-Posted11/05/2026

As a Machine Learning Analyst, you will play a crucial role in understanding design specifications and conducting in-depth analyses. Your work will significantly impact the organization's ability to optimize processes and deliver high-quality results on time. You will be responsible for suggesting design modifications based on the analysis, ensuring that our machine learning models are both effective and aligned with business objectives.

Key Responsibilities

• 1. Analyze Data Sets Using Python And Sql To Identify Patterns And Resolve Issues, Ensuring The Accuracy And Reliability Of Results.
• 2. Validate Machine Learning Model Outputs And Prepare Comprehensive Reports That Communicate Findings And Insights To Stakeholders.
• 3. Develop And Refine Machine Learning Models Using Tensorflow And Pytorch, Focusing On Enhancing Predictive Accuracy And Performance.
• 4. Conduct Quality Checks Throughout The Machine Learning Process To Ensure Compliance With Defined Standards And To Maintain Data Integrity.
• 5. Gather Requirements And Prepare Detailed Methodologies For Analysis, Utilizing Best Practices In Machine Learning And Data Processing.

Skill Requirements

• 1. Fundamental Knowledge Of Machine Learning Concepts And Algorithms.
• 2. Basic Understanding Of Python For Data Manipulation And Analysis.
• 3. Familiarity With Sql For Querying And Managing Data.
• 4. Basic Knowledge Of Tensorflow And Pytorch Frameworks For Model Development.

Other Requirements

• 1. Optional But Valuable Certifications: Tensorflow Developer Certificate, Pytorch Developer Certificate.