Associate
Associate
Posted on :
10-07-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
10-07-2025
Job Description
HCLTech is looking for a highly talented and self- motivated Data Engineer to join it in advancing the technological world through innovation and creativity.
Job Title: Data Engineer
Job ID:
Position Type: Full-time
Location: San Jose CA
Responsibilities
Required Qualifications
Preferred Qualifications (Nice-to-Haves):
Pay and Benefits
Pay Range Minimum: $74000
Pay Range Maximum: $151800
HCL Tech is an equal opportunity employer committed to providing equal employment opportunities to all applicants and employees regardless of race religion sex color age national origin pregnancy sexual orientation physical disability or genetic information military or veteran status or any other protected classification in accordance with federal state and/or local law. Should any applicant have concerns about discrimination in the hiring process they should provide a detailed report of those concerns to for investigation.
Compensation and Benefits
A candidates pay within the range will depend on their work location 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.
Job Title: Data Engineer
Job ID:
Position Type: Full-time
Location: San Jose CA
Responsibilities
- Generative AI Development:
- Design develop and fine-tune Generative AI solutions using models like Googles Gemini for tasks such as information extraction document summarization and report generation.
- Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable context-aware responses.
- Research and apply emerging GenAI techniques such as agentic frameworks to build more autonomous and capable systems.
- End-to-End Machine Learning:
- Design and deploy a wide range of ML models (classification regression forecasting etc.) on Google Cloud Platform.
- Build and maintain robust automated MLOps pipelines for data preprocessing feature engineering model training validation and deployment using tools like Vertex AI BigQuery. etc.
- Conduct deep data analysis to uncover insights validate hypotheses and guide feature engineering for improved model performance.
- Collaboration & Strategy:
- Champion best practices in software engineering and MLOps to ensure the quality maintainability and scalability of our machine learning systems.
- Continuously evaluate and stay current with the latest advancements in the ML and GenAI landscape.
Required Qualifications
- Experience: 3 years of professional experience building and deploying machine learning models in a production environment.
- Education: Bachelors degree in Computer Science Data Science Statistics or a related quantitative field.
- Programming: Advanced proficiency in Python and its core data science/ML libraries (e.g. PyTorch scikit-learn Pandas).
- Data & SQL: Advanced proficiency in SQL for complex data manipulation aggregation and analysis.
- Generative AI: Demonstrable hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g. Gemini).
- Cloud Platform: Hands-on experience with a major cloud provider with a strong preference for Google Cloud Platform (GCP).
- MLOps: Solid understanding of MLOps principles and experience with related tools (e.g. Vertex AI CI/CD).
Preferred Qualifications (Nice-to-Haves):
- Masters or PhD in a relevant field.
- Specific experience with GCP services like Vertex AI BigQuery Google Cloud Storage and GKE.
Pay and Benefits
Pay Range Minimum: $74000
Pay Range Maximum: $151800
HCL Tech is an equal opportunity employer committed to providing equal employment opportunities to all applicants and employees regardless of race religion sex color age national origin pregnancy sexual orientation physical disability or genetic information military or veteran status or any other protected classification in accordance with federal state and/or local law. Should any applicant have concerns about discrimination in the hiring process they should provide a detailed report of those concerns to for investigation.
Compensation and Benefits
A candidates pay within the range will depend on their work location 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.
Required Experience:
IC
Employment Type
Full Time
Key Skills
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