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Showing 9 jobs
Skills:
tokenization , Pyspark, Nlp, Pandas, Data Science, Python, ML data engineering, training data quality metrics, language model APIs, data versioning tools, instruction-tuning, text processing, annotation workflows, data labeling tools, NLP pipelines
Skills:
Cloudformation, Jenkins, Git, MLops, Gcp, Terraform, Spark, FastAPI, Azure, Kubernetes, Python, AWS, RAG systems, MLflow, vector databases, TF Serving, statistical hypothesis testing, GitHub Actions, TorchServe, Go or Rust
Skills:
snowflake , Version Control Systems, Unix, Hadoop, Apache Spark, Kafka, Windows, Redshift, Sql, Linux, Plsql, Azure Machine Learning, Python, AWS
Skills:
data preparation , DataEngineer, Feature Engineering, Model Deployment, Senior Data Engineer with AI/ML, S3 Glue EMR Redshift Lambda, ? AWS SageMaker experience, ? Kafka or Kinesis for real-time streaming, ? MLOps and CI/CD for ML pipelines, ? Power BI integration with cloud-based data platforms and large-scale datasets
Skills:
Golang, Distributed Systems, Kafka, Typescript, Python, Java, Hadoop, Data Structures, Algorithms, Spark, Langchain, Flink, LLM serving and inference frameworks, LangGraph, MCP tool-calling, CrewAI, fine-tuning, secure agentic workflows, OAuth-based authentication, prompt engineering, AutoGen, Retrieval-augmented generation, agent orchestration, applied AI
Skills:
snowflake , Sql, Git, Gcp, Docker, Databricks, Excel, Azure, Python, AWS, Generative AI, Powerpoint, Regression, Optimization, Classification
Skills:
snowflake , Power Bi, Sql, Git, Gcp, Spark, Azure, Python, AWS, Airflow, AI ML techniques, Flink, Looker, EMR Notebooks, Apache Zeppelin, AI-assisted development tools, Jenkins CI, Jupyter
Skills:
Sql, Data Governance, Data Profiling, automation analytics, data quality KPIs, data quality checks, AI-assisted techniques, cloud platforms, Reconciliation, AI concepts, issue analysis, Data Validation, data quality rules, Reporting
Skills:
Sql, Data Governance, Data Profiling, automation analytics, data quality KPIs, data quality checks, AI-assisted techniques, Reconciliation, cloud platforms, AI concepts, issue analysis, Data Validation, data quality rules, Reporting
