drjobs Staff Engineer Automation Development Engineering

Staff Engineer Automation Development Engineering

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1 Vacancy
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Job Location drjobs

Batu - Indonesia

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

  • Lead the creation of innovative applications using automation methodologies and data science solutions to address various business challenges.
  • Design and implement data analysis machine learning and AI algorithms with a focus on Computer Vision Robotic Process Automation (RPA) and Generative AI.
  • Develop and maintain prototype systems for data analysis visualization and predictive analytics.
  • Work closely with stakeholders across the organization to identify opportunities for AI solutions and data science initiatives.
  • Monitor and evaluate the outcomes of machine learning and data science projects to ensure successful results.
  • Implement best practices for data engineering and data science processes.
  • Provide guidance and leadership to junior engineers on the team.
  • Stay updated on the latest trends in AI technology infrastructure and data science and share knowledge with the team.

Qualifications :

Required:

  • Masters or Bachelors degree in Computer Science Data Science Computer Engineering Software Engineering or a related field.
  • At least 35 years of relevant work experience.
  • Technical Proficiency:
    • Strong programming skills in Python Java ASP.NET and C#.
    • Indepth knowledge of databases such as Vector DB SQL and Oracle frameworks.
  • Soft Skills:
    • Excellent communication and leadership abilities.
    • Proven track record in managing and mentoring diverse teams.
    • Enthusiasm for exploring and implementing the latest advancements in data science.
  • AI/ML Expertise:
    • Comprehensive understanding of the AI/ML lifecycle including EDA modelling integration/deployment data/model drift detection and model retraining.
    • Practical experience with machine learning and deep learning algorithms.
  • Collaboration Tools:
    • Familiarity with collaborative solutions model and code versioning (e.g. Bitbucket) and solution packaging (e.g. Kubernetes Docker).

Preferred:

  • Proven experience in developing and deploying AI models particularly in Generative AI and Large Language Models (LLMs).
  • Experience with machine learning frameworks such as TensorFlow and PyTorch.

Skills:

  • Proficiency in programming languages such as Python and Java.
  • Strong understanding of Natural Language Processing (NLP) techniques.
  • Familiarity with cloud platforms (e.g. AWS Azure Google Cloud) for deploying AI solutions.
  • Knowledge of CI/CD tools and ecosystems.


Additional Information :

Western Digital thrives on the power and potential of diversity. As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at  to advise us of your accommodation request. In your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES: Western Digital has received reports of scams where a payment is requested on Western Digitals behalf as a condition for receiving an offer of employment. Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests please report it immediately to Western Digitals Ethics Helpline or email


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

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