Sr Data analytics and AI Expert

2 months ago

Bhilai, India Riverhouse Technologies Full time
OverviewThe SeniorData Analytics and AI Expert plays a crucial role in ourorganization providing advanced expertise in data analysis andartificial intelligence. They are responsible for designing andimplementing AI solutions to extract insights from large datasetsdriving informed decisionmaking andinnovation.KeyResponsibilities
  • Lead the developmentand execution of AI strategies to drive business growth andoptimize operations.
  • Design and implementcomplex data models algorithms and automated AIsystems.
  • Utilize machine learning techniques todevelop predictive models and optimizeprocesses.
  • Implement data mining andstatistical analysis to derive actionable insights from largecomplex data sets.
  • Collaborate withcrossfunctional teams to integrate AIdriven solutions into variousbusiness operations.
  • Conduct thorough analysesto identify trends patterns and correlations within datasets.
  • Maintain and enhance existing AI modelsensuring their accuracy andreliability.
  • Construct and maintain AIpipelines for data acquisition validation andcleaning.
  • Stay updated on the latest AI anddata analysis technologies and bestpractices.
  • Communicate complex technicalfindings and AIdriven insights to nontechnicalstakeholders.
  • Provide mentorship and guidanceto junior data analysts and AIprofessionals.
  • Contribute to the developmentand maintenance of a robust datainfrastructure.
  • Identify and address potentialdata quality issues or gaps within theorganization.
  • Participate in the evaluation andadoption of new AI tools andplatforms.
  • Collaborate with IT teams to ensureseamless integration of AI solutions with existingsystems.
RequiredQualifications
  • Computer ScienceStatistics Data Science or a relatedfield.
  • Proven experience as a data scientistdata analyst or AI expert.
  • Demonstratedexpertise in machine learning deep learning and neuralnetworks.
  • Proficiency in programming languagessuch as Python R or Java.
  • Strong background instatistical analysis and datavisualization.
  • Experience with big dataplatforms and tools such as Hadoop Spark orKafka.
  • Excellent understanding of AI frameworksand libraries such as TensorFlow andPyTorch.
  • Advanced knowledge of cloud computingplatforms and services such as AWS orAzure.
  • Ability to develop and deploy scalableAI solutions in production environments.
  • Solidunderstanding of data management data governance and data securityprinciples.
  • Exceptional problemsolving andcritical thinking skills.
  • Strong communicationand collaboration abilities in crossfunctionalteams.
  • Experience in leading AI projects andmanaging AIfocused teams.
  • Proven track recordof leveraging AI to drive tangible businessoutcomes.
  • Ability to thrive in a fastpaceddynamic environment and manage multiplepriorities.

data analytics,machinelearning,statistical analysis,platforms,models,data,artificialintelligence

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