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: 2678113
Position Type: Full-time
Location: San Jose, CA

ResponsibilitiesGenerative AI Development:Design, develop, and fine-tune Generative AI solutions using models like Google's 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 QualificationsExperience: 3+ years of professional experience building and deploying machine learning models in a production environment.Education: Bachelor's 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):Master’s 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 secure@hcltech.com for investigation.

Compensation and Benefits
A candidate’s 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.