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# Senior Analyst - Machine Learning, Python

- **Company:** HCL America, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $71,000.0 - $95,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Data Analysis, Data Validation, Data Mining, Python (Programming Language), Machine Learning, Microsoft SQL Server, Performance Tuning, Tensorflow, SQL Databases, Data Processing, Pytorch, Data Analytics
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c433b1811d6f9ce4

## About the Role

1. Strong Understanding Of Machine Learning Concepts And Methodologies
 2. Proficiency In Python For Data Analysis And Model Building
 3. Familiarity With Tensorflow And Pytorch For Developing Machine Learning Solutions
 4. Experience With Sql For Data Extraction And Manipulation
 5. Knowledge Of Data Validation Techniques And Performance Optimization Strategies

Must Have Skill

Machine Learning and Statistical modeling,MS SQL,Python,PyTorch,TensorFlow

## Description

The Senior Machine Learning Analyst plays a critical role in delivering actionable insights through advanced data analysis and machine learning techniques. This position is essential for shaping design specifications and conducting thorough analysis while adhering to quality and time standards. By leveraging expertise in machine learning and data processing, the analyst will contribute to project success and empower stakeholders with data-driven recommendations., 1. Utilize Python And Tensorflow To Develop And Optimize Machine Learning Models, Ensuring They Meet Performance Criteria And Align With Project Objectives.

 2. Conduct In-Depth Analysis Using Sql To Extract, Clean, And Manipulate Data, Driving Resolution Of Critical Issues And Optimizing Overall Performance.
 3. Validate And Interpret Results From Machine Learning Models, Crafting Comprehensive Reports And Presenting Findings To Stakeholders To Influence Key Decisions.
 4. Monitor And Ensure Data Accuracy And Completeness Within The Analysis Pipeline, Implementing Preventive Measures To Deliver Reliable Insights For Downstream Decision-Making.
 5. Gather Requirements And Prepare Methodologies For Analysis, Ensuring Clarity In Design Specifications And Alignment With Business Needs.