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Showing 10 jobs
Skills:
probability , triton , Jax, Tensorflow, Pytorch, Docker, Ml, Azure ML, MLops, Kubernetes, TD3, DL, TensorRT, CNNs, ONNX, ppo, Optimization, linear algebra, CQL, Transformers, Ai, sequence models, SAC, RL, CI-CD
Skills:
Retrieval-Augmented Generation (RAG), Machine Learning, Python Programming, LLM Optimisation, Generative AI, Speech Technologies, Conversational AI
Skills:
Python, MLOps practices, LLM architectures, fine-tuning techniques, evaluation metrics for generative models
Skills:
Version Control, Sql, Deep Learning, Cloud Computing, MLops, Python, Full Stack Development, Feature Engineering, Data Preprocessing, Model Evaluation, Classical Machine Learning, Statistical Modeling, Multi Modal Large Language Models
Skills:
snowflake , Pyspark, Sql, MLops, Docker, Python, Kubernetes, AWS, embeddings, Generative AI, fine-tuning, LLMs, Looker, dbt, GeoPandas, RAG, Streamlit
Skills:
Logistic Regression, Decision Tree, Linear Regression, Svm, scrapy, Machine Learning Algorithms, Sql, Random Forest, Pca, Nosql, Neural Network, Pandas, Gcp, Numpy, Spark, Azure, Python, AWS, scikit-learn, K-mean Clustering, R, scapy, BERT
Skills:
snowflake , Databases, Machine Learning, Data Transformation, Data Modeling, Sql, Exploratory Data Analysis, Spark, Databricks, Python, Applied Mathematics, Jupyter notebooks, data platforms, data science libraries, cloud environments, model evaluation, Statistics, feature engineering
Skills:
Tensorflow, Machine Learning, Pytorch, Ocr, Python, Computer Vision, Deep Learning
Skills:
Large Language Models (LLMs), Machine Learning, Artificial Intelligence, Pyspark, Deep Learning, Git, Bitbucket, Predictive Analytics, Generative AI, Advanced Python, Model Deployment and Monitoring, Data Pipeline Development, GitHub Copilot, Automated Unit Testing, Python Packaging and Deployment, Statistical Modeling, CI CD and DevOps Practices, Data Processing and Transformation, Causal AI, Data Preparation for ML Workloads, Scalable and Performant Application Design, Knowledge Graphs
Skills:
Machine Learning, Data Science, Predictive Modeling, automation, Risk Assessment, quality and accuracy reviews, measurement methods, Analytics, experimentation, causal inference methods, bias mitigation, Ai Development
