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Senior Data Scientist - ML, Python

HCL Technologies Ltd

  • Palo Alto, CA
  • 10 days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationPalo Alto, CA
    IndustryComputer/IT Services
    Company Size10,000 employees or more
    Year Founded1991
    Websitehttps://www.hcltech.com/

    Description

    Job Description

    Senior Data Scientist - ML, Python

    Pune, Maharashtra

    Job Summary

    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.

    Skill Requirements

    Qualifications

    • 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

    Other Requirements

    Apply now

    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.

    About Company

    Employee Strength : 223,000 on March 31, 2025 
    Countries of Operation : 60 Countries

    Consolidated Revenues: US $13.8B ,for 12 months ending March 2025

    HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, 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 March 2025 for $13.8 Billion. To learn how we can supercharge progress for you, visit hcltech.com.

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