Position requires a Bachelor’s Degree in Computer Science, Engineering, or a related field with good mathematical foundation followed by 5-6 years industry experience building data driven products and have implemented machine learning algorithms and techniques.
Good in Computer Science fundamentals in object-oriented design, data structures, algorithm design, complexity analysis, problem solving and diagnosis
Adept at any one of the programming language Java/Python and Open to learn new programming languages.
Comfortable in Big Data Technologies/ Frameworks (Hadoop, Spark, HDFS, Hive, Sqoop, Flume, Oozie, etc)
Well conversant with Linux / Unix tools
Experience working with distributed systems using Spark, Hive in Hadoop at significant scale in a production environment.
Well conversant with any one of version control capabilities like github, bitbucket and SVN.
Good oral and written communication skills as well as interpersonal and multi-tasking skills.
BS/MS degree in Computer Science
Experience in application development and integration within one or more Iaas/ Paas platforms such as (Amazon Web Services, VMWare, OpenStack, etc.).
Experience building fast and scalable machine learning and analytical algorithms and executing all tasks from design to deployment and monitoring
Experience in developing Web services, micro-services, and REST
You will be part of a machine learning / analysis group that develops algorithms and software solutions that enhance the performance of our inspection tools.
Your responsibilities will include: Data/problem analysis:Research the solution space,Develop concepts,Prototype and validate concepts,Specify software requirements,Software/algorithm development (productization/programming)
Strong experience with Tensor Flow, Keras,
Pandas, SciKit Learn, Python and R
Experience with Jupiter Notebook & GIT
Experience with GPU-Enabled machine model
Hands-on experience with RNN, CNN and Classic ML
Understanding of Word vector representations
like Word2Vec, Embeddings & NLP fundamentals
Understanding of BigData technologies like
Hadoop, Spark and Map reduce
Experience with designing & prototyping
novel models based on machine learning, analytics and statistical modelling in
order to tackle hard analytics problems – where problems may range from
exploratory to highly applied