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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: 150671493
Skills:
.NET, Java, Phoenix, Tensorflow, MLops, Pytorch, Keras, Python, LangChain, LLMOps, AgentOps, generative models, reinforcement learning, LangGraph, AI methodologies, MLFlow, Google Agent Development Kit
Skills:
regression models , Sql, Deep Learning, Spark, Data Analytics, Python, boosted models, Airflow, classification models, Generative AI, LLMs, MLflow, anomaly detection, simulation problems, AI frameworks
Skills:
snowflake , NLP techniques, agentic frameworks, feature engineering, LLM APIs, data preprocessing, autonomous AI agents, embedding models, chain-of-thought prompting, cross-validation, AI Agents, LangChain, model integration patterns, LangGraph, recommendation systems, Langfuse, hyperparameter tuning, knowledge retrieval, model evaluation metrics, LangSmith, SQL databases, OpenAI Agents SDK, semantic search, machine learning solutions, few-shot learning, prompt engineering
Skills:
Logistic Regression, Pyspark, Factor Analysis, Sql, Nlp, Predictive Analysis, Cluster Analysis, Python, Statistical Modelling, AWS, LLMs, cloud computing services, Sagemaker, Multivariate Regression
Skills:
Tensorflow, Sklearn, Pytorch, Python, Computer Vision, Deep Learning, AWS SageMaker
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