Airtel - Data Science Engineer - Machine Learning (4-7 yrs)

Responsibilities :

- Build world-class ML models.

- Design, run and analyze A/B and multivariate hypothesis tests aimed at optimizing customer experience, business KPIs and product funnels.

- End to end development and testing of the solutions as per the requirements.

- Be involved in technology research, capability building across newer technologies and tools in the ML ecosystem at scale.

- Influence business decisions to help improve consumer and network experiences.

- Spot new business opportunities and drive growth.

- Partner and work closely with engineering and product teams to build world class data products.

- Mentor data scientists.

Minimum Qualifications :

- Deep understanding of Statistical Analysis, Modeling and Machine Learning algorithms.

- 3+ years of experience with machine learning model development. Experience in designing and deploying ML modeling and prediction pipelines.

- Experience in Gen AI is a must.

- Good command over Python, Tensorflow/PyTorch/Jax, PySpark.

- Strong coding skills with the ability to write high-performance code in Python/Julia/R. Familiar with version control.

- Must be fluent with SQL.

- Ability to contribute to multiple projects/demands simultaneously and work in a fast-paced, collaborative and iterative environment.

Preferred Qualifications :

- M.S./Ph.D. in Computer Science / Statistics / Applied Mathematics.

- Strong Python skills for data wrangling/analysis/visualization and modeling.

- Experience with distributed big data computing (Hadoop / Spark). Experience with Presto/Druid for ad-hoc analysis.

- Experience with mlflow and/or airflow for data pipelines and model deployment.

- Experience with Neural Networks (e.g. RankNet, MLP or LSTM) and NLP (e.g. Word2Vec). Deployed at least one industrial project using supervised/unsupervised machine