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Senior Machine Learning Engineer, MLOps
Build and maintain scalable MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and MLflow to deploy, monitor, and retrain ML models for enterprise use.
Data Engineer
Job Description This Data Engineer will serve as the technical owner of the data ingestion and transformation platform supporting a large-scale Dynamics 365 financial system implementation. The individual will be…
Senior Staff Data Engineer
Build and lead enterprise-scale data platforms for healthcare data using Azure, Databricks, and Spark, designing pipelines and governance for clinical and device domains.
Sr. Technical Product Manager, AI Data Platforms
Owns the product strategy and roadmap for DDN’s AI Data Platform, aligning storage solutions with NVIDIA’s AI infrastructure stack to enable enterprise generative AI at scale.
Solution Engineer
Design and build data solutions for Mirvac’s Development & Construction teams, integrating design, cost, and commercial data to enable AI-driven project insights and reporting.
Systems Architect
Designs and maintains systems for collecting, processing, and analyzing sensitive data from mobile apps and databases, ensuring secure ingestion, storage, and documentation for government clients.
Data Engineer
Build and maintain scalable AWS-based data pipelines for a national healthcare network, ensuring reliable ingestion, transformation, and delivery of clinical and operational data.
Data Engineer - Senior (REMOTE) JP991
Senior Data Engineer builds and maintains secure Azure pipelines and data products for Alberta’s environmental regulatory platform, ensuring reliable, analytics-ready datasets for compliance and decision-making.
Senior Software Developer
Build mission-critical warfighter training tools in Java/C++/Python, integrating radar data and physics models to optimize sensor search plans for DoD environments.
Principal Data Scientist, Applied AI & GenAI Engineering
Principal Data Scientist to lead Python-centric data engineering and GenAI projects, designing scalable pipelines and ML models for DTCC’s financial markets infrastructure.
Principal Data Scientist, Applied AI & GenAI Engineering
Principal Data Scientist at DTCC designs and deploys production-grade AI/GenAI and ML solutions in Python and Snowflake, leading data pipelines and model development for financial markets.
Information Technology - Lead Data Engineer
Lead Data Engineer builds and maintains open-source data ingestion and MLOps platforms using Python, Spark, Kafka, and Databricks to deploy ML models at scale.
Machine Learning Engineer
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s content ecosystem, including Firefly and Creative Cloud, using Python, TensorFlow/PyTorch, and distributed systems.
Data Engineer, Officer - State Street Investment Management
Build and maintain large-scale data pipelines and cloud-native analytics platforms using Python, PySpark, SQL, Databricks, and Snowflake to support investment management operations.
IN_Senior Associate_Python Developer_Digital Integration_Advisory_Kolkata
Builds scalable Python backends with Flask/Django, integrates APIs and event-driven systems, and automates data workflows for PwC’s advisory clients.
Principal Architect, Simulation Platform
Principal Architect leads the design of a GPU-powered simulation platform for AI data centers, enabling real-time power orchestration and validation of energy-aware compute systems.
Apache Airflow , Informatica , Snowflake, Azure services, Java design patterns, Data modelling, Spring boot,Strong Python Programming -6-9-CHN
Builds and optimizes data pipelines and microservices using Python, Java/Spring Boot, and cloud-native tools like Airflow, Snowflake, and Azure.
Data Engineer Intern
Build and maintain data pipelines for a climate-tech platform using Python, SQL, and Azure tools to automate data ingestion and quality checks for sustainability reporting.
Alpha Data Implementation, Implementation Business Analyst (AVP)
Implementation Business Analyst at State Street to gather requirements, map financial data flows, and guide clients through integrating investment data into Alpha Data services using SQL, ETL, and Agile methods.