Data Engineer
- Algoleap Technologies
- 5 - 8 years
- Bengaluru
- 2 months ago
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Job Description
- Collaborate closely with Machine Learning (ML) teams to deploy and monitor models in production, ensuring optimal performance and reliability.
- Design and implement experiments, and apply statistical analysis to validate model solutions and results.
- Lead efforts in ensuring high-quality data, proper governance practices, and excellent system performance in complex data architectures.
- Develop, maintain, and scale data pipelines, enabling machine learning and analytical models to function efficiently.
- Monitor and troubleshoot issues within data systems, resolving performance bottlenecks and implementing best practices.
- 5-6 years of data engineering experience, with a proven track record in building scalable data systems.
- Proficiency in SQL & No SQL databases, Python, and distributed processing technologies such as Apache Spark.
- Strong understanding of data warehousing concepts, data modelling, and architecture principles.
- Expertise in cloud platforms (AWS, GCP, Azure) and managing cloud-based data systems would be an added advantage
- Hands-on experience building and maintaining machine learning pipelines and utilizing tools like MLflow, Kubeflow, or similar frameworks.
- Experience with search, recommendation engines, or NLP (Natural Language Processing) technologies.
- Solid foundation in statistics and experimental design, particularly in relation to machine learning systems.
- Strong problem-solving skills and ability to work independently and in a team-oriented environment.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Algoleap TechnologiesLocation(s): Bengaluru
Keyskills: Statistical analysis GCP spark Analytical Machine learning Natural language processing Data warehousing Monitoring SQL Python
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