Senior Analyst - Machine Learning, Python

HCL Technologies Limited; Dallas (TX); On-site; USD 71,000 - 95,000; Full time

Job summary

HCL Technologies Limited in Dallas, Texas, is seeking a Senior Analyst - Machine Learning, Python to transform data into actionable insights. You will design and implement ML solutions, collaborate with stakeholders, and shape project specifications while maintaining quality and timelines.

The role emphasizes building models with Python and TensorFlow, validating results, and delivering clear reports. Candidates should have strong ML knowledge, SQL experience, and a focus on data accuracy and

Qualifications

• Strong understanding of ML concepts and methodologies.
• Proficiency in Python for data analysis and model building.
• Familiarity with TensorFlow and PyTorch for developing ML solutions.
• Experience with SQL for data extraction and manipulation.
• Knowledge of data validation and performance optimization strategies.

Responsibilities

• Develop and optimize ML models using Python and TensorFlow, ensuring performance criteria.
• Analyze data with SQL to extract, clean, and prepare datasets.
• Validate model results and present findings to stakeholders.
• Ensure data accuracy in the analysis pipeline and deliver reliable insights.
• Gather requirements and prepare methodologies aligned with business needs.

Skills

ML concepts

Python

TensorFlow

PyTorch

SQL

Data validation

Tools

TensorFlow

PyTorch

Job description

Senior Analyst - Machine Learning, Python Senior Analyst - Machine Learning, Python United States Job Description Senior Analyst - Machine Learning, Python Dallas, Texas

Job Summary

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.

Key Responsibilities

• 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.

Skill Requirements

• 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

Other Requirements

• 1. Optional But Valuable: Tensorflow Developer Certificate
• 2. Optional But Valuable: Microsoft Certified: Azure Data Scientist Associate Maximum Salary (US): 95000 Minimum Salary (US): 71000

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.