Software Engineering Professional
RMZ Ecoworld, Devarabeesanahal, Bengaluru, India
Why BT?
We’ve always been an organisation with purpose; to use the power of communications to make a better world. You can trace this back to our beginning as pioneers of the world’s first 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, regulation 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.
Why this job matters
We are searching for a proficient AI/ML engineer who can help us to extract value from our data. The resource will be responsible for E2E processes including data collection, cleaning & pre-processing, training of the models and deployment in all production and non-production environments.
What you’ll be doing
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
- Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
- Verifying data quality, and/or ensuring it via data cleaning.
- Supervising the data acquisition process if more data is needed.
- Defining validation strategies
- Defining the pre-processing or feature engineering to be done on given data.
- Defining data augmentation pipelines.
- Training models and tuning their hyperparameters.
- analysing the errors of the model and designing strategies to overcome them.
- Perform statistical analysis and fine-tuning using test results.
- Train and retrain systems when necessary.
Skills Required
- Experience as a Machine Learning Engineer/ Artificial Intelligence Engineer or similar role.
- Experience in DevOps, SRE and AIOPS best practices.
- Expertise in visualizing and manipulating big datasets.
- Working knowledge of math, probability, statistics and algorithms.
- Proficiency with Python and basic libraries.
- Ideas in various type of machine learning procedures – supervised, semi-supervised, unsupervised learnings.
- Excellent communication skills.
- Team player.
- Outstanding analytical and problem-solving skill.
- Familiarity with Linux environment.
- Low to medium familiarity with JIRA, GIT, Nexus, Jenkins etc is a plus.
- Minimum educational qualification: BE/B.Tech or similar degree in relevant field.