Description

About BT:

BT Group has a history spanning over 180 years, pioneering the world’s first telecommunications company and continually evolving into a global technology leader. BT’s purpose has always been to use the power of communications to create a better world, supporting critical services from emergency response to banking and large-scale sports broadcasting.

BT’s ambition remains high despite challenging market conditions. BT seeks individuals who possess drive, resilience, and optimism, offering them unrivalled personal development and diverse career opportunities across a range of disciplines.

About This Role:

BT is looking for a skilled AI/ML Engineer to join their Digital unit and drive value from data. The role covers end-to-end machine learning processes including data collection, cleaning, pre-processing, model training, and deployment across production and non-production environments.

Key Responsibilities:

• Understand business objectives and develop models to achieve them, along with metrics for progress tracking.
• Analyze and evaluate ML algorithms suitable for solving given business problems.
• Verify and ensure data quality through effective cleaning processes.
• Supervise data acquisition if additional data is required.
• Define validation strategies and pre-processing or feature engineering pipelines.
• Define data augmentation methods.
• Train ML models and tune hyperparameters for optimal performance.
• Analyze model errors and design strategies to improve outcomes.
• Perform statistical analysis and fine-tune models using test results.
• Train and retrain systems when necessary.
• Manage end-to-end model deployment pipelines (MLOps) with expertise in AWS or GCP deployments.

Key Technical Skills:

Troubleshooting, Agile Development, Database Design/Development, Debugging, Programming/Scripting, Microservices/Service Oriented Architecture, Version Control, IT Security, Cloud Computing, Continuous Integration/Continuous Deployment Automation & Orchestration, Software Testing, Application Development, Algorithm Design, SDLC, Decision Making, Growth Mindset, Inclusive Leadership

Requirements:

• Minimum 4 years of professional experience as a Machine Learning Engineer, AI Engineer, or similar role.
• Experience solving business problems using ML algorithms, deep learning, neural networks, sequential and time series modelling.
• Practical experience in computer vision, CNNs, generative AI, and working with LLMs.
• Experience deploying models via MLOps pipelines.
• Proficiency handling both structured and unstructured data and familiarity with tools like SQL, BigQuery, and DataProc.
• Skilled in developing APIs using frameworks such as Flask, Django, or FastAPI.
• Experience in automating business processes using AIOps.
• Cloud proficiency in GCP or AWS; familiarity with Qlik is an added advantage.
• Solid knowledge of data structures, software architecture, and big data visualization.
• Strong understanding of mathematics, probability, statistics, and algorithms.
• Expertise in Python and essential ML libraries like scikit-learn and pandas; R or Java is a plus.
• Familiarity with TensorFlow, Keras, and OpenCV is advantageous.
• Excellent communication skills and collaborative mindset.
• Outstanding analytical and problem-solving abilities.
• Comfortable working in a Linux environment.
• Familiarity (low to medium) with JIRA, GIT, Nexus, Jenkins is a plus.
• Minimum educational qualification: BE/B.Tech or equivalent degree in a relevant field.