Senior Group Technical Architect (GB)

Job Summary

Key Responsibilities

• Design, develop, and maintain scalable Machine Learning and Deep Learning solutions using Python.
• Build, train, evaluate, and deploy machine learning models for predictive analytics, forecasting, recommendation systems, NLP, or computer vision use cases.
• Collaborate closely with Data Engineers, Business Analysts, Product Owners, and stakeholders to understand requirements and define AI/ML solutions.
• Participate in Agile ceremonies including Sprint Planning, Daily Stand-ups, Retrospectives, and Grooming sessions.
• Analyze model performance, identify improvement opportunities, and work with teams to enhance solution effectiveness.
• Prepare and maintain model documentation, experiment tracking, feature engineering workflows, and deployment reports.
• Integrate machine learning models with CI/CD and MLOps pipelines to enable continuous deployment and monitoring.
• Ensure model accuracy, scalability, reliability, and governance across critical business applications.
• Perform data analysis, feature engineering, model validation, and performance optimization where required.
• Contribute to AI/ML best practices, model lifecycle management, and framework enhancements.
• Job Description: AI/ML Engineer
• Role: AI/ML Engineer
• Employment Type: Full Time
• We are seeking a skilled and passionate AI/ML Engineer with strong experience in Machine Learning, Deep Learning, and MLOps using Python. The ideal candidate should have hands-on experience in designing, developing, deploying, and maintaining machine learning solutions, building end-to-end ML pipelines, and ensuring scalable AI model delivery across enterprise applications. Exposure to Generative AI and cloud platforms will be an added advantage.

Mandatory Skills

• Machine Learning
• Strong hands-on experience in Machine Learning model development and deployment.
• Experience with supervised and unsupervised learning algorithms.
• Experience in feature engineering, model evaluation, and model performance optimization.
• Understanding of Machine Learning algorithms, statistical methods, and predictive analytics.
• Deep Learning
• Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience developing NLP, Computer Vision, or Generative AI solutions.
• MLOps
• Experience with MLflow or similar MLOps platforms.
• Knowledge of model versioning, experiment tracking, deployment, and monitoring.
• Programming
• Strong proficiency in Python programming.
• Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
• Good to Have
• Experience with Generative AI, LLMs, RAG, or Agentic AI frameworks.
• Experience with cloud platforms (GCP/Azure/AWS).
• Knowledge of Big Data technologies such as Spark or Databricks.
• Experience with Vector Databases and semantic search solutions.
• Containerization knowledge (Docker).
• Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitHub Actions.
• Experience working in enterprise-scale AI/ML applications.
• Skill Requirements
• Other Requirements
• Key Responsibilities
• Job Description: AI/ML Engineer
• Role: AI/ML Engineer
• Employment Type: Full Time
• Job Summary
• Design, develop, and maintain scalable Machine Learning and Deep Learning solutions using Python.
• Build, train, evaluate, and deploy machine learning models for predictive analytics, forecasting, recommendation systems, NLP, or computer vision use cases.
• Collaborate closely with Data Engineers, Business Analysts, Product Owners, and stakeholders to understand requirements and define AI/ML solutions.
• Participate in Agile ceremonies including Sprint Planning, Daily Stand-ups, Retrospectives, and Grooming sessions.
• Analyze model performance, identify improvement opportunities, and work with teams to enhance solution effectiveness.
• Prepare and maintain model documentation, experiment tracking, feature engineering workflows, and deployment reports.
• Integrate machine learning models with CI/CD and MLOps pipelines to enable continuous deployment and monitoring.
• Ensure model accuracy, scalability, reliability, and governance across critical business applications.
• Perform data analysis, feature engineering, model validation, and performance optimization where required.
• Contribute to AI/ML best practices, model lifecycle management, and framework enhancements.

Key Responsibilities

• Job Summary

Preferred Qualifications

• We are seeking a skilled and passionate AI/ML Engineer with strong experience in Machine Learning, Deep Learning, and MLOps using Python. The ideal candidate should have hands-on experience in designing, developing, deploying, and maintaining machine learning solutions, building end-to-end ML pipelines, and ensuring scalable AI model delivery across enterprise applications. Exposure to Generative AI and cloud platforms will be an added advantage.