Looking for expert level data scientists to engage in exploratory machine learning techniques in the areas of predictive maintenance, optimization of energy and other utility usage etc. This is a key position and will work with other stakeholders to develop new product features
Responsibilities:
● Help define and scope work required to build and maintain ML systems and models
● Ensure the quality and robustness of such models
● Oversee any and all data science platform changes and feature development
● Work with other technology and business stakeholders to identify areas where data science features are required
● Work with other technology stakeholders to identify and implement best practices for data management
● Work with integration teams to scope out new data sets for training as well as oversight of integration development within the engineering team
● Work with design and UI team to build intuitive dashboards to provide actionable insights to the customer
● Research approaches in data science that address problems outlined by the product team
Requirements:
● 4-5 years data science experience in Python/R/Java, Apache Spark, Tensorflow, Scikitlearn, pandas etc
● Natural language processing techniques
● Machine-learning techniques with focus on Predictive Algorithms
● Knowledge of Big Data Architectures like Hadoop/Hive
● Strong programming experience
● experience with SQL and/or NoSQL
● experience working with real world time series data is a plus
Personal Traits:
● Excellent team player
● Excellent communication skills
● Total ownership of data centric initiatives
Location : Kochi
Start Date : Immediate
Those interested can send the CV to admin@AecAlumni.net
About the opportunity
IOT and AI Solutions Company based out of Dubai is opening their off-shore development center in Kochi
Data Science team is going forward with mission of building systemic intelligence across our product and ecosystem. We have data from machines and sensors along with other user specific data. The
large amount of data generated per day has complete mix of data types in terms of numerical data, structured text, unstructured text, images etc.
This data gives us an opportunity to explore a wide range of problems to solve.
Some of the problems we are focusing on currently are:
● Machine performance behavior
● Machine Operation patterns
● Proactive servicing
● Machine insights
● End user emotion detection and right response matching
● Fulfillment automation
● Optimization of last mile delivery
● Self-healing systems and more.