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Showing 10 jobs
Skills:
model development , Mqtt, Hypothesis Testing, Amqp, Databricks, AWS, data pipelines, GenAI use cases, retrieval-augmented generation, robotics data formats, analytics layer, Data Collection, OPC-UA, ML models, data models, pipeline design, ingestion pipelines, backend services, robotics telemetry
Skills:
Machine Learning, Google Cloud, Sql, Deep Learning, Sklearn, Tensorflow, Numpy, Pandas, MLops, Pytorch, Ibm, Docker, Azure, Python, Kubernetes, AWS, LLMOps tooling, Polars, Time-series Econometric modeling, Gen-AI applications
Skills:
snowflake , Power Bi, Tableau, Sql, Tensorflow, Pandas, Numpy, Pytorch, Qlik, Databricks, Python, Airflow, scikit-learn, AWS Sagemaker, Nifi
Skills:
Machine Learning, Data Cleaning, Dashboards, Agile Project Management, Powerbi, Data Visualisation, Python, model deployment, pre-processing, data insights, data science models, data quality issues, R, interactive visualisations, statistical methodologies, Stakeholder Management, feature engineering
Skills:
Scipy, Pyspark, Sql, Numpy, Git, Pandas, XGBoost, Python, hyper-parameter optimization, pipeline development, Visualization, Amazon Quick Sight, Data Processing, object-oriented programming, data platforms, CI CD, Scikit-Learn, Transformation, model validation, test-driven development, AWS SageMaker, data ingestion, feature selection
Skills:
Power Bi, Tableau, Sql, Tensorflow, Numpy, Git, Gcp, Pytorch, Pandas, MLops, Docker, XGBoost, Azure, Python, AWS, Scikit-learn, Relational Databases
Skills:
Ml, Data Mining, Sql, Advanced Analytics, Data Architecture, Python, Model Execution, Data Ingestion, Feature Engineering, Ai, Automation Pipelines, R, Decision-Making, Statistical Machine Learning
Skills:
Data Science, Databricks, AWS, Robotics Data Formats, Ingestion Pipelines, Data Pipelines, Backend Services, GenAI Use Cases, data models
Skills:
regression models , Machine Learning, Python, Power Bi, Unsupervised Learning, Sql, Deep Learning, Git, Databricks, Optimization, MLFlow, MLOps Tooling, Large Language Models, AI Orchestration, RAG Architectures, Prescriptive Analytics, AI Solutions, Agentic AI Frameworks, Model Explainability, Azure AI Services, supervised learning, Time Series Forecasting, Ensemble Methods, Microsoft Fabric, Prompt Engineering
Skills:
Tensorflow, Pytorch, Docker, FastAPI, Python, computer vision models, TensorRT, vector databases, data pipeline tools, LLM application development
