The key aspects of this role include:

• Design, build, and maintain scalable applications using Python
• Contribute to the entire implementation process including driving the definition of improvements based on business need and architectural improvements
• Act as a subject matter expert for Application Software developers and Engineers
• Handle server-side code for a production platform and contribute to new features

To be the right fit, you’ll need:

• More than 3+ years of experience as a software developer in Python, with knowledge of at least one Python web framework such as Django, Flask
• Good understanding of common design patterns and architecture principles to design reliable and Scalable applications
• Proficient understanding of code versioning tools {{such as Git, Mercurial or SVN}}
• Strong communication skills

It’s good to have:

• Knowledge of databases line NoSQL or MongoDB
• Exposure to AWS
• Experience working on Scrapy framework
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

The key aspects of this role:

• Perform data analysis and facilitate in delivery to all end users
• Supervise all client issues and coordinate with managers and supervisors and facilitate in deliverables
• Make architectural decisions for the data analytics platform and solutions
• Creating architectures & designs for new solutions around existing and new concepts
• Drive technology & tool choices for your team & be responsible for them
• Participating in architecture discussions, design reviews & code reviews
• Actively participate in development along with team members for as much as 50% of their time, creating modules & systems that can then be treated as a working reflection of the best practices
• Being responsible for scaling, performance & quality for the team

To be the right fit, you’ll need:

• 8+ years of total experience and 3-5 Years of Big Data Eco-System experience – Cloudera, Hadoop, Hive, Impala, PIG, Flume, Kafka, Oozie, Impala, among others and Linux
• Experience with various data types (e.g. Relational, Unstructured, Hierarchical, and Semi-Structured Data Sets)
• High-level knowledge on any public cloud environments preferably AWS, MS Azure
• High-level knowledge on the Spark eco-system
• More than two years of designing and development experience (software components in big data)
• Experience of setting up Hadoop clusters and monitoring HDFS clusters
• Knowledge and/or experience of large cloud-computing infrastructure solutions such as Amazon Web Services or Elastic MapReduce development
• Experience in managing and manipulating large, complex datasets
• Familiarity with data-loading tools such as Sqoop
• Excellent written and verbal communication
• Understanding of using statistical modeling and/or machine learning techniques to build models that have driven company decision making
• Technical expert with in-depth programming knowledge and has strong technical skills combined with project management and leadership ability

The key aspect of this role:

• Understanding business challenges, goals, constraints, variables and parameters
• Analyzing data samples (data mining) to find patterns, co-relations and assessing overall data quality
• Identifying machine learning algorithms and statistical methods that fit the given goals, constraints, variables and data sets
• Creating models and training them
• Scoring algorithms, models and methods for their performance
• Leading in creating automation around algorithm selection, data assessment etc
• Guiding developments and test teams for building prototypes
• Mentoring other core team members

To be the right fit, you will need:

• Need candidate having strong experience in one of the following programming languages:
• Python, R-language
• Sound skills in one/combination of the following technologies:
• { Tensorflow, Keras, TF-learn, Caffe, Pytorch, Spark MLLib, Deeplearning4j }
• { Neural networks, Deep learning, Regression algorithms, Classification algorithms, clustering algorithms }
• Should be familiar with these technologies:
• { Numpy, pandas, dataframes, openCV, DLib, image recognition, speech recognition, scikit-learn, scipy }
• { WEKA, H2O, RapidMiner }
• Must have implemented multiple projects in Machine Learning, Natural Language Processing for atleast 2 years
• Knowledge of cloud services from AWS/Azure/Google Cloud would be added advantage
• Non-ML experience expected:
  • 3-6 yrs of Java/.Net/Perl/PHP/C++ exp.
  • CI/CD process
  • Webservices – SOAP/REST
  • Mgmt tools – Git/SVN/CVS/BitBucket, Jira, Confluence, etc.
  • Junit or likewise frameworks
  • Any one of the RDBMS (MySQL, PostGreSQL, Oracle, SQL Server)
  • Web applications and enterprise applications design and development
• Very good in communication, ready to work in research oriented way and prepare POCs as per requirements
• Able to technically mentor team members, design and estimate as per requirements