Company Background :
Pluto7 is a Google Premier Partner for services and solutions company focused on building ML, Ai, Analytics, solutions to accelerate business transformation.
We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We’re seeking passionate people to work with us to change the way data is captured, accessed and processed, to make data-driven insightful decisions.
Pluto7 has been Awarded the Global 2019 Google Cloud Specialization Partner of the Year Award for Data and Analytics.
Role : Principal Archtiect - Applied Machine Learning
Experience : 10+ years
Work location : India
The ideal candidate will have a strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and have experience working with massive amounts of data.
They should also have strong software engineering skills and the ability to build systems that reach Entperise scale.
What You'll Do :
Build and train production-grade ML models on large-scale datasets to solve various business use cases for Supply Chain.
Use large-scale data processing frameworks for feature engineering and be proficient across various data both structured and un-structured.
Use Deep Learning models like CNN, RNN and NLP (BERT) for solving various business use cases like name entity resolution, forecasting and anomaly detection.
Ability to build ML models across Public and Private clouds including container-based Kubernetes environments.
Develop end-to-end ML pipelines necessary to transform existing applications and business processes into true AI systems.
Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
You will collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and / or cause and effect relations.
Basic Qualifications :
Advanced Degree in field of Computer Science, Data Science or equivalent discipline.
Minimum 5+ years of working experience as a data scientist
Expertise with Python, PySpark, DL frameworks like TensorFlow and MLOps.
Experience in designing and building highly scalable distributed ML models in production (Scala, applied machine learning, proficient in statistical methods, algorithms)
Experience with analytics (ex : SQL, Presto, Spark, Python, AWS suite). Awareness of the same in GCP would be a plus.
Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization)
Experience working with end-to-end pipelines using frameworks like KubeFlow, TensorFlow and / or crowd-sourced data labeling a plus