Ai Engineer

1 week ago


Mumbai, Maharashtra, India Pyjamhr Blog - Test Full time
Overview An AIEngineer plays a crucial role in developing and implementing AIsolutions within an organization. They are responsible forleveraging machine learning and deep learning techniques to createintelligent systems that can analyze large datasets automateprocesses and make datadriven decisions. KeyResponsibilities
  • Designing andimplementing machine learning algorithms and models.
  • Creating and managing datasets for AI training andtesting.
  • Developing and deploying AIapplications and solutions.
  • Collaborating withcrossfunctional teams to integrate AI capabilities into softwareand systems.
  • Optimizing AI models forperformance scalability and efficiency.
  • Performing statistical analysis and finetuning models formaximum accuracy.
  • Researching and stayingcurrent on AI and machine learning trends andtechnologies.
  • Building and training neuralnetworks for various applications.
  • Working onnatural language processing and computer visionprojects.
  • Documenting and presenting AIsolutions and findings to stakeholders.
  • Ensuring the ethical and responsible use of AItechnologies.
RequiredQualifications
  • Bachelors or Mastersdegree in Computer Science Data Science or a relatedfield.
  • Proven experience in developing anddeploying machine learning and deep learning solutions.
  • Strong proficiency in Python programming for AI and dataanalysis.
  • Expertise in working with machinelearning libraries and frameworks (e.g. TensorFlow KerasPyTorch).
  • Experience with data preprocessingfeature engineering and model evaluation.
  • Knowledge of cloud platforms for AI development anddeployment (e.g. AWS Azure GCP).
  • Understandingof algorithms and data structures.
  • Excellentproblemsolving and analytical skills.
  • Abilityto communicate complex AI concepts to nontechnicalstakeholders.
  • Familiarity with agiledevelopment methodologies and DevOps practices.
  • Experience in working with big data technologies anddistributed computing.
  • Strong understanding ofethical considerations in AI development and deployment.
  • Ability to work effectively in a collaborative teambasedenvironment.
  • Continuous learning andselfimprovement mindset in the field of AI and machinelearning.

machine learning,deeplearning,python,data science,neuralnetworks


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