Senior Technical Lead

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Cloud Engineering

In short

We are looking for a Machine Learning Engineer experienced in Generative AI and cloud technologies to build and deploy scalable ML models. This role involves designing Generative AI solutions, architecting RAG systems, and managing MLOps pipelines on Google Cloud Platform.

Responsibilities

Design, develop, and fine-tune Generative AI solutions using models like Google's Gemini for information extraction, document summarization, and report generation.
Architect and implement advanced Retrieval-Augmented Generation (RAG) systems.
Research and apply emerging GenAI techniques, such as agentic frameworks.
Design and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.
Build and maintain robust, automated MLOps pipelines using tools like Vertex AI and BigQuery.
Conduct deep data analysis to uncover insights and guide feature engineering.
Partner closely with data scientists, software engineers, and business stakeholders to define requirements and deliver integrated AI/ML solutions.
Champion best practices in software engineering and MLOps.
Continuously evaluate and stay current with the latest advancements in ML and GenAI.

Requirements

3+ years of professional experience building and deploying machine learning models in a production environment.
Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).
Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.
Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).
Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (GCP).
Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD).

Desired Qualifications

Master’s or PhD in a relevant field.
Specific experience with GCP services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.
Experience building RAG systems from the ground up.
Proven ability to lead technical projects and mentor other engineers.

Benefits

Supercharge your potential, find your career, and find your spark.
A place that knows that helping its customers stay on top starts by putting its people first.

Skills

PythonPyTorchscikit-learnPandasSQLGeminiGoogle Cloud PlatformGCPVertex AIBigQueryCI/CDGenerative AIRAGLLM

#Generative AI#LLM#Machine Learning#Python#Google Cloud Platform#GCP#Vertex AI#BigQuery#MLOps#RAG

About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 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 September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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