NestorBird | Machine Learning Engineer | mohali district

2 weeks ago

mohali district, India NestorBird Full time

WFH Available | Machine Learning Engineer


Join NestorBird - Your Digital Transformation Partner

Are you ready to work with a passionate team driving digital transformation across industries? At NestorBird, we empower global businesses to thrive through cutting-edge ERP solutions that streamline operations, drive growth, and fuel innovation. With a legacy of over 200 successful ERP implementations across 20+ countries, we’re looking for talented professionals to help us expand our impact. 


Experience: 5+ Years


Location: Mohali WFO / Remote / WFH Available


Position Overview: As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning systems that drive our data-driven solutions. You will work closely with data scientists, software engineers, and product teams.


Key Responsibilities

  • Design and implement machine learning algorithms and models.
  • Collaborate with data scientists to analyze and preprocess data.
  • Build and maintain scalable machine learning pipelines.
  • Optimize models for performance and efficiency.
  • Train, retrain, and monitor machine learning systems and models as needed.
  • Conduct experiments and validate model performance using appropriate metrics.
  • Extend existing ML libraries and frameworks.
  • Document processes and present findings to stakeholders.
  • Assist in troubleshooting and debugging models and applications.


Qualifications:

  • Understanding of data structures, data modelling, software architecture and software scalability.
  • Proven experience as a Machine Learning Engineer, particularly writing machine learning systems in Python that were put into production.
  • Strong programming skills in Python.
  • Proficiency with ML frameworks such as Scikit-learn.
  • Understanding of software development best practices and experience applying them.
  • Strong experience with data processing tools and libraries (e.g., Pandas, NumPy ).
  • Experience with cloud platforms (AWS) and containerization (Docker, Kubernetes ) is a must.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.


Preferred Qualifications:

  • Familiarity with automating deployments using Helm.
  • Experience with particularities and limitations of data formats like Arrow and Parquet is desirable.


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