4 часа назад
Machine Learning Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (Python/SQL/LLM): Building and productionizing machine learning solutions for search, personalization, fraud detection, and catalog digitization with an accent on the full ML lifecycle, scalable services, and data pipelines. Focus on deploying and monitoring models, optimizing production code, and integrating technologies such as LLMs, vector databases, streaming systems, and cloud ML platforms.
Location: Chennai, Tamil Nadu, India — office-based
Company
operates a social ecommerce marketplace for new and secondhand fashion, home goods, and other products, serving a large community of buyers and sellers.
What you will do
- Manage the full machine learning lifecycle, from data collection through deployment and monitoring.
- Collaborate with data science, QA, infrastructure, and engineering teams to productionize machine learning models.
- Write and optimize robust, reliable code for machine learning services operating at scale.
- Maintain existing solutions and evolve them with newer technologies.
- Apply machine learning to areas including search, personalization, fraud detection, and catalog digitization.
- Track developments in data science and machine learning and communicate complex concepts clearly.
Requirements
- 4+ years of experience applying machine learning to large-scale, concrete problems.
- Bachelor’s or master’s degree in computer science, statistics, or a related field.
- Strong computer science fundamentals and ability to implement algorithms.
- Understanding of regression, classification, tree-based methods, neural networks, sequence-based models, and the machine learning lifecycle.
- Experience with at least one machine learning model or approach, such as LLMs, GNNs, deep learning, logistic regression, or gradient boosting trees.
- Experience with Python, SQL, Java, or Scala, plus system architecture and big data concepts including streaming architectures and data pipelines.
Nice to have
- Experience with Spark, EMR, S3, Airflow, LLM production systems, and prompt engineering.
- Experience with Flask, FastAPI, RabbitMQ, embeddings, and vector databases.
- Familiarity with PyTorch, TensorFlow, Scikit-learn, MLflow, SageMaker, Databricks, and observability tools.
- Experience with Docker, Kubernetes, Jenkins, Redis, Redshift, MongoDB, Kafka, or Milvus.
Culture & Benefits
- Work with a central machine learning team focused on democratizing data science and machine learning.
- Collaborate across data science, QA, infrastructure, and engineering functions.
- Environment shaped by values including community, mutual growth, respect, and individuality.
- Opportunity to contribute to data-driven ecommerce and more sustainable consumption.
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