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Software Engineering Professional
Software Engineering Professional-November 2024
Bengaluru
Nov 16, 2025
About Software Engineering Professional

  Software Engineering Professional

  Job Req ID: 27387

  Posting Date: 17 Jan 2024

  Function: Software Engineering

  Location:

  Outer Ring Road, Bellandur, Bengaluru, India

  Salary: Competitive

  Why BT

  We’ve always been an organisation with a purpose; to use the power of communication to make a better world. You can trace this back to our beginning as pioneers of the world’s firs telecommunications company. At our heart we’re a technology company with research and innovation in our bones and a desire to be personal, simple, and brilliant for our customers - those are the values we live by whilst also creating an inclusive working environment where people from all backgrounds can succeed.Our pursuit of progress over the past 180 years has established BT as a strong, successful brand, with huge scale capable of achieving great things. From supporting emergency services, hospitals, banks and keeping economies around the world online, safe and secure, to delivering large scale technology infrastructure like the creation of BT Sport.

  Today in this fast-changing, always on, digital world our purpose remains true. Yet the market conditions, regulations and competition we face are tougher than ever before. So, if you have the drive, optimism and resilience to help propel us forward we’ll offer unrivalled personal development, a wealth of opportunities to learn, experience new things and pursue new careers. If that’s you and what you’re looking for, we’d love you to be part of our future.

  Job Responsibilities

  We are looking for an expert in machine learning to help us extract value from our data. He/she will lead all the processes from data collection, cleaning, and pre-processing, to training models and deploying them to production.

  Understanding business objectives and developing solutions that help to achieve them, along with metrics to track their progress.

  Managing available resources such as hardware, data, and personnel so that deadlines are met.

  Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.

  Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.

  Verifying data quality, and/or ensuring it via data cleaning.

  Supervising the data acquisition process if more data is needed.

  Defining real time analytics performance metrics.

  Defining validation strategies.

  Defining the pre-processing or feature engineering to be done on a given dataset.

  Defining data augmentation pipelines.

  Designing the data analytics pipeline and performance.

  Analyzing the errors of the model and designing strategies to overcome them.

  Deploying models to production.

  Work in an agile work process.

  Required Experience

  7+ years of strong hands-on experience with deep learning framework such as transformers, tensorflow or pytorch, python and basic libraries for ML such as scikit-learn and pandas, numpy and familiarity with Linux.

  Working experience in agile and DevOps environment with CI/CD pipeline integration.

  Strong analytical and debugging skills.

  Working Experience in Kubernetes microservices environment.

  Experience in technical of complex project deliveries end-to-end with matrix managed structure.

  Experience developing and designing Enterprise Application development Projects.

  Self-starter who can lead the way by setting up prototypes for vendor technical teams to follow.

  Contribute to the definition of the team processes and standards.

  Good to have understanding on Telecom domain.

  Essential Skills

  Proficiency with deep learning frameworks.

  Proficiency with Python and basic libraries for machine learning such as numpy, scikit-learn and pandas.

  Expertise in EDA on big datasets.

  Familiarity with Linux and Kubernetes.

  Ability to select hardware to run an ML model with the required latency.

  Desirables

  Optional technical skills: GenAI, Druid, Kafka, MySQL.

  Working with large Telco service providers is a plus.

  Telecom certifications.

  Experience in working with geographically dispersed teams.

  Who is the BT Group

  We're the leading communications provider with customers in 180 countries. Across the world we enable customer's digital transformations so they can thrive. Our focus is simple: be the global provider-of-choice for managed network and IT infrastructure services.

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