
Search by job, company or skills
Showing 9 jobs
Skills:
object detection , Numpy, Computer Vision, Pandas, Image Processing, Python, Scikit-learn, Image classification
Skills:
Pyspark, Kubernetes, Docker, Python Programming, ML algorithms and statistics, Deploying ML models into production, AWS or GCP cloud
Skills:
snowflake , prophet , Apis, Azure Sql, Tensorflow, Git, Pytorch, Arima, Version Control Systems, Python, LSTM, Temporal Fusion Transformer, Scikit-learn, reinforcement learning, DeepAR, Databricks Delta
Skills:
Natural Language Processing, Deep Learning, Apache Spark, Decision Trees, Hadoop, Neural Networks, Python Programming, Clustering, Random Forest, Machine Learning Algorithms, Jenkins, Kubeflow, Airflow, Large Language Models, Boosting Algorithm, ML Flow, CI CD Pipeline, Data Munging Techniques, reinforcement learning, Bayesian Networks, Support Vector Machines
Skills:
Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving
Skills:
Python Programming, Deep Learning, Apache Spark, Statistical Analysis, Jenkins, Hadoop, Machine Learning, Airflow, Data Munging Techniques, Kubeflow, Large Language Models, ML Flow
Skills:
Tensorflow, Performance Tuning, Opencv, Rest Apis, Deep Learning, Ocr, Pytorch, Machine Learning Algorithms, Google Cloud, AWS, Python, Azure, Docker, Generative AI, LLMs, feature engineering, data preprocessing, Tracking, parallelization, multimodal models, RAG, YOLO, Segmentation, ML Ops, GPU optimization, TensorRT, ONNX, distributed low-latency data pipelines, RTSP streaming video pipelines, Classification, detection, multi-object detection
Skills:
containerization , Python, Kubernetes, MLops, Security best practices, Monitoring and observability, Infrastructure as Code
Skills:
test automation, Keras, API design, Tensorflow, Devops, Python Programming, Nltk, Pytorch, Kubernetes, Docker, Strong statistical quantitative skills, Linux systems, Cloud experience – AWS Azure GCP, AI ML Supervised Unsupervised GenAI LLMs NLP, Data integration across logs APIs files and databases, CI CD, Database experience – Postgres Redshift MSSQL, End-to-end data pipelines, spaCy
