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NestorBird | Machine Learning Engineer | mohali district
2 months ago
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.
