Job description

Title: SENIOR SOLUTIONS ARCHITECT Location: Charlotte United States Job Description: Job Description (Posting). HCLTech is looking for a highly talented and self- motivated Senior AI - ML Architect / Senior Solutions Architect to join it in advancing the technological world through innovation and creativity. Job Title: Senior AI - ML Architect / Senior Solutions Architect Job ID: 2752734 Position Type: Full-Time Employment Location: San Francisco, California, USA (Onsite/Hybrid Only) Lead the design and implementation of AI/ML solutions, focusing on unsupervised learning, clustering, dimensionality reduction, and outlier detection. Own the end-to-end architecture and ensure alignment with business goals. Key Responsibilities: Architect and lead ML workflows using Azure ML and Python. Design clustering and outlier detection models on multi-source data. Guide dimensionality reduction techniques (e.g., PCA, t-SNE). Collaborate with stakeholders to translate business needs into ML solutions. Mentor the team and ensure best practices in model development and deployment. Experience: Total: 8+ years in data science, machine learning, or AI roles Relevant: 4+ years in unsupervised learning and Azure ML-based solutions Leadership: 2+ years in leading AI/ML teams or projects Tools & Technologies: Cloud: Azure ML, Azure Synapse Analytics Languages: Python Libraries: Scikit-learn, Pandas, Seaborn, Numpy Visualization: Jupyter Dashboards, Power BI Versioning & Collaboration: Git, Azure DevOps Qualifications & Experience Skills Required: Cloud (Azure Analytics, Azure ML) AI-ML Python Scikit-learn Clustering (K-Means, HDBSCAN) Feature Engineering PCA/T-SNE RBAC logic Job Description (Posting). HCLTech is looking for a highly talented and self- motivated Senior AI - ML Architect / Senior Solutions Architect to join it in advancing the technological world through innovation and creativity. Job Title: Senior AI - ML Architect / Senior Solutions Architect Job ID: 2752734 Position Type: Full-Time Employment Location: San Francisco, California, USA (Onsite/Hybrid Only) Lead the design and implementation of AI/ML solutions, focusing on unsupervised learning, clustering, dimensionality reduction, and outlier detection. Own the end-to-end architecture and ensure alignment with business goals. Key Responsibilities: Architect and lead ML workflows using Azure ML and Python. Design clustering and outlier detection models on multi-source data. Guide dimensionality reduction techniques (e.g., PCA, t-SNE). Collaborate with stakeholders to translate business needs into ML solutions. Mentor the team and ensure best practices in model development and deployment. Experience: Total: 8+ years in data science, machine learning, or AI roles Relevant: 4+ years in unsupervised learning and Azure ML-based solutions Leadership: 2+ years in leading AI/ML teams or projects Tools & Technologies: Cloud: Azure ML, Azure Synapse Analytics Languages: Python Libraries: Scikit-learn, Pandas, Seaborn, Numpy Visualization: Jupyter Dashboards, Power BI Versioning & Collaboration: Git, Azure DevOps Qualifications & Experience Skills Required: Cloud (Azure Analytics, Azure ML) AI-ML Python Scikit-learn Clustering (K-Means, HDBSCAN) Feature Engineering PCA/T-SNE RBAC logic Job Description (Posting). HCLTech is looking for a highly talented and self- motivated Senior AI - ML Architect / Senior Solutions Architect to join it in advancing the technological world through innovation and creativity. Job Title: Senior AI - ML Architect / Senior Solutions Architect Job ID: 2752734 Position Type: Full-Time Employment Location: San Francisco, California, USA (Onsite/Hybrid Only) Lead the design and implementation of AI/ML solutions, focusing on unsupervised learning, clustering, dimensionality reduction, and outlier detection. Own the end-to-end architecture and ensure alignment with business goals. Key Responsibilities: Architect and lead ML workflows using Azure ML and Python. Design clustering and outlier detection models on multi-source data. Guide dimensionality reduction techniques (e.g., PCA, t-SNE). Collaborate with stakeholders to translate business needs into ML solutions. Mentor the team and ensure best practices in model development and deployment. Experience: Total: 8+ years in data science, machine learning, or AI roles Relevant: 4+ years in unsupervised learning and Azure ML-based solutions Leadership: 2+ years in leading AI/ML teams or projects Tools & Technologies: Cloud: Azure ML, Azure Synapse Analytics Languages: Python Libraries: Scikit-learn, Pandas, Seaborn, Numpy Visualization: Jupyter Dashboards, Power BI Versioning & Collaboration: Git, Azure DevOps Qualifications & Experience Skills Required: Cloud (Azure Analytics, Azure ML) AI-ML Python Scikit-learn Clustering (K-Means, HDBSCAN) Feature Engineering PCA/T-SNE RBAC logic Job Description (Posting). HCLTech is looking for a highly talented and self- motivated Senior AI - ML Architect / Senior Solutions Architect to join it in advancing the technological world through innovation and creativity. Job Title: Senior AI - ML Architect / Senior Solutions Architect Job ID: 2752734 Position Type: Full-Time Employment Location: San Francisco, California, USA (Onsite/Hybrid Only) Lead the design and implementation of AI/ML solutions, focusing on unsupervised learning, clustering, dimensionality reduction, and outlier detection. Own the end-to-end architecture and ensure alignment with business goals. Key Responsibilities: Architect and lead ML workflows using Azure ML and Python. Design clustering and outlier detection models on multi-source data. Guide dimensionality reduction techniques (e.g., PCA, t-SNE). Collaborate with stakeholders to translate business needs into ML solutions. Mentor the team and ensure best practices in model development and deployment. Experience: Total: 8+ years in data science, machine learning, or AI roles Relevant: 4+ years in unsupervised learning and Azure ML-based solutions Leadership: 2+ years in leading AI/ML teams or projects Tools & Technologies: Cloud: Azure ML, Azure Synapse Analytics Languages: Python Libraries: Scikit-learn, Pandas, Seaborn, Numpy Visualization: Jupyter Dashboards, Power BI Versioning & Collaboration: Git, Azure DevOps Qualifications & Experience Skills Required: Cloud (Azure Analytics, Azure ML) AI-ML Python Scikit-learn Clustering (K-Means, HDBSCAN) Feature Engineering PCA/T-SNE RBAC logic

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