Must Have :
Minimum 3 years’ in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase)
•Minimum 3 years’ experience with NoSQL implementation (Mongo, Cassandra, etc. a plus)
•Experience with the design and development of Data Engineering solutions.
•Strong development skills including Linux, Shell, Python, Java, Scala.
•Minimum 3 years of experience as data scientist.
•Strong grasp of numbers, statistics, mathematical concepts, and algorithms. Ideally with a degree at a Masters level.
•Knowledge of data structures, relational data, and big data platforms.
•Demonstrate experience and understanding of Machine Learning, e.g.: linear/logistics regression, random forest, Svm, neural networks, etc.
•Proficiency with Python.
•Proficiency with machine and deep learning frameworks such as Tensor flow, Keras.
•Experience with techniques to retrieve actionable feature insight from deep neural networks.
•Experience developing solutions for on cloud.
Good to have:
•Search Engine Experience – working experience to design, development and support of a search engine application will be a big plus
•Use data analysis techniques to deliver quick working prototypes to prove hypothesis by building statistical models using a range of tools including R, Python, and Spark
•Understand data requirements for a product lifecycle by working closely with Product Managers and Solution Architects.
•Minimum 3years experience developing Java based software solutions
•Evaluate and apply machine learning algorithms on data to create models.
•Work collaboratively with data engineers and software engineers to deliver product solutions and/or prototypes
Python, NoSQL Cassandra DB, ML Trained, AI, Scala, Spark Should have experience with ETL/Data wrangling, Machine Learning and Deep Learning through projects, products, etc. Ability to develop new ML/DL models from scratch.
Hyderabad /Mumbai/ Pune