Senior Data Scientist - ML, Python

HCL Technologies
Palo Alto, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Clean Code Principles Amazon Web Services Cyber Security Databases Continuous Integration Data Cleansing Data Integration Data Security DevOps Monitoring of Systems Python (Programming Language) Machine Learning
+9 more
Tensorflow Software Engineering SQL Databases Scripting Feature Engineering Data Ingestion Information Technology Machine Learning Operations Data Pipelines

Job description

Skilled and motivated Machine Learning (ML) with a focus on the maintenance and enhancement of existing projects, implement new features, and contribute to the development of new solutions, with enough understanding of ML concepts to collaborate effectively within our team.

Key Responsibilities

Responsibilities

  • Maintain and optimize deployed ML solutions ensuring reliability, performance, and security.
  • Collaborate with the team to design and implement new features for existing ML projects based on evolving requirements
  • Troubleshoot and resolve production issues, ensuring minimal downtime.
  • Assist in scoping, building, and deploying new ML project in the information security space.
  • Stay current with advancements in ML to propose practical, engineering-focused solutions.

Requirements

Data Science, Python Programming/Scripting Language, Machine Learning, Identify Issues, Problem Solving Skills, Information/Data Security (InfoSec), Computer Science, Python Programming/Scripting Language, SQL (Structured Query Language), Structured Data, * Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience).

  • Proficiency in Python with experience in writing clean, efficient, and maintainable code.
  • Experience with SQL for querying, manipulating, and managing structured data in databases.
  • Proven experience in software engineering with a focus on deploying, monitoring, scaling, and maintaining ML systems from scratch.
  • Experience with data ingestion processes, including the collection, processing, and integration of data from various sources into ML systems.
  • Knowledge of DevOps practices (CI/CD, model monitoring/observability)
  • Experience with cloud platforms, AWS preferred.
  • Practical knowledge of machine learning concepts (e.g., model training, evaluation) and experience with ML frameworks to support engineering tasks.
  • Familiarity with data science workflows, including data preprocessing, feature engineering, and analysis.
  • Ability to collaborate effectively in a team environment and communicate technical concepts clearly

About the company

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.

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