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Machine Learning Engineer

Scale

Northstarz.Ai (Formerly InterviewGuru)

We are a team of innovative specialists from diverse business backgrounds, dedicated to revolutionizing the hiring process. Our AI recruitment platform, Interview Guru, works tirelessly to provide you with a faster, unbiased, and cost-effective hiring solution. It accelerates your hiring process by 3X, reduces recruitment costs by 70%, and ensures no candidate is overlooked. With Interview Guru, secure top talent faster and more efficiently, as we bring the future of recruitment to you today. We are seeking a Machine Learning Engineer who is proficient in Golang programming, and hands-on experience with machine learning frameworks. The ideal candidate will be responsible for designing and implementing machine learning models, conducting research to improve the current algorithms, and maintaining the existing codebase in Golang to ensure seamless operations. Roles and Responsibilities: Model Development : Design, develop, and implement machine learning algorithms and models using Golang programming language.
Scalable Systems : Build and optimise ML pipelines and infrastructure, ensuring scalability and efficiency using Go (Golang).
Integration : Implement machine learning models into production systems using Go and other backend technologies.
Data Handling : Preprocess, clean, and analyse large datasets to support ML workflows.
Performance Optimisation : Develop high-performance APIs and services for serving ML models.
Collaboration : Work closely with data scientists, backend engineers, and product teams to deliver end-to-end solutions.
Monitoring and Maintenance : Monitor the performance of deployed ML models and systems, iterating as needed for improvement. Knowledge and Skills That Will Make You Successful: 1-3 years of professional experience as a Machine Learning Engineer or backend engineering role.
Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, or related fields.
Proficient in Go (Golang) programming, with a strong understanding of concurrency and memory management.
Hands-on experience in deploying and managing machine learning models on ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying ML systems.
Knowledge of database systems (SQL and NoSQL).
Strong understanding of RESTful API development and micro services architecture.
Solid grasp of algorithms , data structures , and mathematics (linear algebra, probability, statistics). What We Offer Opportunities to build a career filled with growth and continuous learning.
Opportunity to work with a team of passionate and talented professionals.
Flexible working hours and a collaborative work environment.
Competitive salary and benefits package. Join Novelio Technologies Private Limited and play a pivotal role in shaping an impactful business growth. Apply today to embark on a rewarding career journey with us.

Machine Learning Engineer

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