Analyst - Machine Learning, Python

Job Description

Analyst - Machine Learning, Python

City and County of San Francisco, California

Job Summary

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 organizations 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.

Maximum Salary (US):

Minimum Salary (US):

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Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll 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 2026 totaled $14.8 billion.

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.