[Hiring] AI & ML Architect @Rehlko

Role Description

We are seeking a highly skilled and experienced AI-ML Technical Architect to join our dynamic team. The ideal candidate will have a strong background in operationalizing AI & machine learning models, with a proven track record of solving complex problems, delivering scalable, and sustainable solutions on Azure cloud.

Technical Responsibilities:

• Design, develop, and deploy scalable Gen AI and machine learning (ML) models leveraging Azure cloud services like AI Foundry, Azure ML, Prompt flow, Hugging Face model, Azure AI Search, Azure Model Catalog, Azure DevOps, Fabric.
• Extensive experience with Azure cloud platform and its associated resources computes, blob storage, data bricks, ADLS, and networking capabilities for implementing AI and machine learning solutions.
• Familiarity with big data tools (Hadoop, Spark) and data engineering practices such as ETL, data warehousing, and data quality management. Hands-on experience in database technologies like SQL. Knowledge of SAP, Salesforce, and any other CRM systems is a plus.
• Deep knowledge of Python along with expertise in AI/ML frameworks like TensorFlow, PyTorch, Keras, and scikit-learn.
• Proficiency in machine learning algorithms (supervised, unsupervised) and deep learning architectures (CNNs, RNNs, Transformers).
• Build end-to-end architecture for Gen AI and ML projects, including data ingestion, preprocessing, model training, validation, deployment, and monitoring.
• Implement robust MLOps pipelines to automate model lifecycle management, monitoring, and retraining processes.
• Extensive experience with version control tools like Git and DevOps tools.
• Knowledge of designing and building scalable, secure AI-ML systems, including experience with distributed systems, containerization, and infrastructure cost optimization.
• Strong foundation in data analysis, statistics, data visualization, and applying complex algorithms.
• Optimize existing machine learning models for performance, accuracy, and resource efficiency, ensuring scalability and sustainability.
• Integrate Gen AI and NLP tools into production environments, aligning with Azure best practices and security protocols.

Qualifications

• Bachelor's or master’s in data science, Computer Science, Engineering. Strong technical knowledge of computer science and mathematics.
• 5+ years of experience in building deploying AI & ML solutions on Azure.
• 3+ years of experience in integrating Gen AI, NLP tools across Azure.

Benefits

• Competitive compensation and benefits
• Work-life flexibility
• Recognition and rewards
• Development and career opportunities
• A safe and inclusive workplace