ML Engineer

3 weeks ago


sany, India TalentPulse Consultant Full time
Job Title: MLEngineerLocation:Remote (UK Shift 2pm to 11pmIST)Years ofExperience: 5 12yearsJobDescription:We are seeking ahighly skilled ML Engineer to join our team in a remote capacityoperating within the UK shift timings of 2pm to 11pm IST. Thesuccessful candidate will play a pivotal role in developing andimplementing machine learning solutions to solve complex businessproblems.Responsibilities:
  • Designdevelop and deploy machine learning models andalgorithms.
  • Analyze large datasets to deriveinsights and identify opportunities foroptimization.
  • Collaborate with crossfunctionalteams including data scientists software engineers and domainexperts to deliver endtoend MLsolutions.
  • Utilize various machine learningtechniques such as supervised learning unsupervised learning anddeep learning.
  • Evaluate and experiment withdifferent ML frameworks and tools to enhance model performance andscalability.
  • Implement best practices for datapreprocessing feature engineering and modelevaluation.
  • Work closely with stakeholders tounderstand business requirements and translate them into technicalsolutions.
  • Stay updated with the latestadvancements in machine learning research andtechnologies.
Requirements:
  • Bachelors or Master s degree in Computer Science Engineering Mathematics orrelated field.
  • Proven experience in developingand deploying machine learning models in a productionenvironment.
  • Proficiency in programminglanguages such as Python R or Scala.
  • Strongunderstanding of machine learning algorithms and statisticalmethods.
  • Handson experience with MLlibraries/frameworks such as TensorFlow PyTorch scikitlearnetc.
  • Experience with cloud platforms such asAWS Azure or Google Cloud Platform.
  • Excellentproblemsolving skills and attention todetail.
  • Effective communication skills and theability to collaborate with crossfunctionalteams.
  • Prior experience working in a remotesetting or across different time zones is aplus.

learning,ml,machinelearning,cloud,models,teams,machine learningmodels


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