Senior ML Engineer

[Primary Skills]:

Design and develop various machinelearning and deep learning models and systems for high impact consumerapplications ranging from predictive safety, content personalizations, search,virtual assistant, time series forecasting and more.

Work with a broad spectrum ofstate-of-the-art machine learning and deep learning technologies, in the areasof various machine learning problems such as multilingual text classification,language modelling and multi-modal learning.

Create metrics and configure A/Btesting to evaluate model performance offline and online to inform and conveyour impacts to diverse groups of stakeholders.

Analyse and produce insights from alarge amount of dynamic structured and unstructured data using modern big dataand streaming technologies

Produce reusable code according tostandard methodologies in Python, Scala or Java

Collaborate with cross-functionalteams of technical members and non-technical members in architecture, design,and code reviews.

[Good to have Skills]: SQL, DataAnalysis , Gaming Industry knowledge

[Responsibilities and Duties]: Leaddedicated team of software engineers to architect, build, deploy and supportbest-in-class software services that are always available to provide the bestgaming experience for our customers. Build and develop a high energy,committed, motivated engineering team focusing on engineering and operationalexcellence to deliver awesome business results. Collaborate across businessunits and product teams to develop and execute against the team's vision,strategy, and roadmap. Use technical expertise and industry trends to influencesoftware development standard methodologies. Handle day-to-day activities ofengineering team using Agile/Scrum methodology.

Mandatory Skills:

Data Science , Machine Learning ,Artificial Intelligence , Statistics , Deep Learning

[Technology and Sub-technology]Technology name : Machine Learning , Statistics , Deep Learning , ML Ops , DataAnalytics covering : NLP Linear Regression Classification & ClusteringTransfer Learning NLP Forecasting based Models & Algorithms Large LanguageModels Machine learning frameworks such as Tensorflow, PyTorch, MLlib etc. DataBricks