Machine Learning Engineer
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Total Experience - 4 Years and above
Location - Bangalore
Notice Period - Immediate - 15 days
Requirements for the candidate
Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.
To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.
Job ID: 151831227
Skills:
Azure ML, Docker, Pyspark, Sonarqube, Microsoft Azure, Databricks, GitHub Actions
Skills:
Deep Learning, Nlp, Pytorch, Python, AWS, Gcp, Spark, Azure, Kubernetes, embeddings, inference, Video, end-to-end ML systems, Llm, VLM, training pipelines, fine-tuning, generative AI, cloud platforms, Vision, RAG, Production Monitoring, feature engineering, distributed data processing
Skills:
Pytorch, Azure, Aws
Skills:
Machine Learning, Tensorflow, Personalization, Pytorch, Python, embeddings, multimodal modeling, Generative AI, neural architectures, preference learning, reinforcement learning, bandits, reward modeling, retrieval, ranking, Large Language Models
Skills:
Java, Machine Learning, Natural Language Processing, Data Mining, Deep Learning, Tensorflow, Pytorch, Data Visualization, Python, Sci-kit, R, Statistical Modeling
