data modeller.

AWS Data EngineerRoles: Developer to Lead levelIT Experience range: 7+ yearsLocation: PAN India, Remote Skills and Experience: Must Have: Minimum of 2+ years in a solution architecture role OR Development using service and hosting solutions on AWS IaaS, PaaS and SaaS platforms. Good experience of AWS storage, and it's compute services.Good hands-on expertise on Python, SQL, PySpark, Hive and JenkinsAble to effectively use of AWS managed services (Step function, EMR, Lambda, Glue and Athena ) and design/develop data engineering solutionsExperience with analysis of requirement and client interaction.Good communication skills.Hands-on experience on developing Data platform and its components (Data lake, On cloud Datawarehouse, Batch and streaming data pipeline) Good to haveExperience with Databricks Basic understanding of data modeling Experience in migrating workloads from on-premises to cloud and cloud to cloud migrationsUnderstanding of Boto3 librariesExperience on AWS services like RDS, DynamoDB, RedshiftAbility to drive the deployment of the customers’ workloads into AWS and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for AWS cloud implementations. Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.Basic understanding of sage maker and ML algorithmsAct as a subject-matter expert OR developer around AWS and become a trusted advisor to multiple teams. Coach and mentor engineers to raise the technical ability of the rest of the team, and/or to become certified in required AWS technical certifications Education: Graduate/post graduate in CSE/IT or related fields

TITLE:BE1 - Data Scientist � AI / Deep Learning for Automated DrivingLOCATION(S):IndiaJOB DESCRIPTION: Job DescriptionWe are in the exciting and cutting-edge space of autonomous driving. We are looking for passionate and experienced engineers who would join us in this journey and design algorithms fit for Level 3 – Level 5 autonomous systemsHere’s what to expect1.You are developing video perception algorithms for unsolved problems in the technology area – perception for autonomous drive vehicles.2.You have to explain why something works or not using data. And what next for the things not working with the reduced cost of labelling.3.You have to find that elusive data through innovative algorithms, Your job would involve1.Looking at the nature of the data2.Current AI/DL algorithm performance3.Derive insights or patterns in failures4.Define a hypothesis for the solution making.5.Define Experiments for hypothesis testing6.Define/Review the techniques/methods in deep learning for experiments7.Analyze the results of experiments8.Define the next set of data or experiments forward 9.Define the targets for the current sprint10.Review, Agree on the experiments11.Ensure delivery with the right process for qualitySkills that we would love you to have, and which you will definitely have after working with us!1.Intuitive understanding of the DL math, model behaviors, techniques already available in open world2.TensorFlow, Python, Pandas, Numpy, DASH, Jupyter notebook, etc..3.Most importantly – data aptitude QualificationsAtleast a Bachelors/Masters of Engineering in Computer Science or Electrical Sciences or related areas.•Relevant experience of 2-8 years, in Computer Vision(AI/Deep Learning based algorithms)•You have an agile mindset•Strong communication skills

Preferred Knowledge/ Skills: Fluent in Python & SQLProfessional experience architecting/operating solutions built on AzureProven expertise in data management and demonstrated leadership in Master Data Management, Reference Data, Metadata Management, Governance, Quality control, Information audit. Ability to work directly with architecture team, application developers and vendors to resolve data issues In-depth understanding of modern and relational database and information technologiesWorking knowledge of business intelligence tools like PowerBI, Tableau, Looker or similar Familiarity with ETL (Extract-Transform-Load) concepts and data governance tools  Understanding the evolving communications and media ecosystem, B2B communications, and analytical techniquesUsing enterprise productivity tools including Microsoft Office Suite and Google platforms and other project management softwareStrong business and technical acumenStrong problem solving, communication and follow-up skills Ability to navigate complexity and ambiguity, practicing resourcefulness to see things through Identifying and keeping up with industry leading best practices in relevant technical domains