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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Pharma / Biotech |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Platform LeadNo of positions : Job Location : Bangalore, KarnatakaJob Duration : Long TermJob Type : PermanentQualification : Bachelors / MastersExperience : : 8- 12 years preferably with hands- on experience in implementing large- scale cloud- based data analytics platformRequired Skills :Deep understanding of statistics and experience with machine learning algorithms/ techniquesProven programming skills, in particular Java/ J2EE and PythonEmerging expertise and real- world experience in deep learning methodologies preferred(convolutional neural networks, restricted Boltzmann machines, and deep neural networks)Hands- on experience building scalable and reliable data pipelines based on Big Data technologies like Hadoop, MapReduce, Hive, Pig, Spark, etc.Hands- on experience and programing skills in Python or JavaExperience with ETL tools and Business Rule Engines like Drools etc.Experience with scheduling tools like Airflow etc.Experience working with source code repositories like GITHUB etc.Knowledge of BI tools (Business Objects, Qlik, Tableau) is a plusExperience with Cloud platforms (AWS, Google, Azure) is a plusRoles & Responsibilities :Design, implement and support efficient & reliable data pipelines to move data from a wide variety of data sources to map to our data models. Design and implement data aggregation, cleansing and reporting layersWork cross functionally with analysts, product managers and customers to build systems for effective data exploration and consumption. Work in an agile, SCRUM driven environment to deliver new and innovative productsDesign, develop, and deliver AI/ machine learning enabled solutions for our industry specific data analytics platformBuild scalable, available and supportable processes to collect, manipulate, presentand analyze large datasets in a production environmentArticulate problem definition and work on all aspects of data including acquisition, exploration/ visualization, feature engineering, experimentation with machine learning algorithms, deploying modelsDevelop working prototypes of algorithms and evaluate and compare metrics based on the real- world data sets. Provide design input specifications, requirements and guidance to software engineers for algorithm implementation for solution/ product developmentD Cube brings Lifesciences & Healthcare professionals, statistical expertise, and IT solutions together in a compelling package that delivers analytical solutions to everyday challenges facing Healthcare organizations,
Keyskills :
bigdata etltools lifesciences deeplearning dataanalytics machinelearning schedulingtools dataaggregation softwareengineers professionalliability it etl pig map hive j2ee cube spark cl euralnetw ks