• Design, deploy, and scale large-scale ML and data processing pipelines across cloud infrastructure.
• Build systems to ingest, process, and serve 250,000+ hours of multimodal data (video, audio, metadata).
• Architect and optimize GPU-based compute environments (e.g., NVIDIA Tesla clusters) for distributed training and inference.
• Develop high-throughput backend systems for video ingestion from desktop and mobile platforms.
• Implement distributed processing workflows, including job scheduling, fault tolerance, and resource allocation.
• Design and build human-in-the-loop and automated annotation systems to ensure data quality and scalability.
• Translate ML and multimodal research into scalable, production-grade cloud architectures.
• Optimize pipelines for performance, reliability, and cost efficiency across compute, storage, and networking layers.
• Collaborate with ML, data, and engineering teams to deliver end-to-end data workflows.

• 5+ years of experience in data engineering, ML pipelines, or distributed systems.
• Strong experience building scalable data pipelines for large datasets (video/audio preferred).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Experience working with GPU-based environments and distributed computing.
• Strong programming skills in Python, Scala, or similar languages.
• Experience with data processing frameworks (Spark, Ray, Kafka, Airflow, or similar).
• Understanding of ML workflows, training pipelines, and inference systems.
• Experience designing fault-tolerant, high-availability systems.
• Strong knowledge of data storage systems (data lakes, object storage, distributed file systems).
• Ability to handle high-throughput, large-scale data ingestion and processing.

• Experience with multimodal AI (video, audio, NLP) systems.
• Familiarity with annotation tools and data labeling workflows.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cost optimization strategies for large-scale cloud workloads.

The Role:

We are seeking a Looker Data Engineer for a project-based assignment to support a key client initiative. This role will focus on building and optimizing data models, developing scalable reporting solutions, and enabling data-driven decision-making through Looker and modern data stack technologies. The ideal candidate will have strong hands-on experience with Looker development, data modeling, and programmatic reporting, along with a solid foundation in SQL and cloud data platforms.

Key Responsibilities:

• Develop and maintain Looker data models, including LookML, models, and explores
• Build and optimize scalable, consumable data models to support business intelligence and strategic decision-making
• Utilize Looker API 4.0 to enable programmatic access to dashboards, looks, and explores
• Automate report generation and delivery using Looker API endpoints
• Write and optimize complex SQL queries to improve performance and efficiency
• Work with Snowflake, dbt, and Python to support data transformation and pipeline development
• Collaborate with stakeholders to translate data requirements into scalable BI solutions
• Ensure data accuracy, consistency, and performance across reporting layers

Required Skills:

• 4+ years Looker development experience (LookML, models, explores)
• Experience working with Looker API 4.0 for programmatic access
• Experience automating reporting using Looker API endpoints
• Ability to transform complex data into scalable, consumable data models
• Hands-on experience with Snowflake, dbt, and Python
• SQL experience with query optimization

Nice to Have:

• Looker administration experience
• Experience working with BigQuery
• Experience with modern data pipelines and ELT workflows
• Familiarity with data governance, data quality, or BI best practices
• Experience working in a client-facing or consulting environment

Employment Type:

About the Role
We are looking for a skilled Senior C# / .NET Engineer to support a critical platform
security and modernization initiative. This role focuses on backend/API enhancements,
security implementation, and system reliability improvements in alignment with Azure-
based infrastructure and data protection standards.

Key Responsibilities

 Design and develop secure backend services and APIs using C# / .NET.
 Implement authentication and authorization mechanisms (SSO, RBAC, OAuth,
JWT).
 Integrate applications with Azure Active Directory (Entra ID).
 Remove hardcoded secrets and integrate with Azure Key Vault.
 Implement audit logging and monitoring hooks across services.
 Build and enforce secure API communication standards.
 Implement PII masking and secure data handling logic in applications.
 Secure and optimize third-party integrations (Stripe, SendGrid, Twilio, etc.).
 Support environment separation and deployment improvements.
 Collaborate with DevOps and DB teams on security, DR, and compliance
initiatives.
 Participate in debugging, incident resolution, and root cause analysis.

Requirements:

 5+ years of experience in C# / .NET development.
 Strong experience with ASP.NET Core, Web APIs, and microservices
architecture.
 Experience implementing authentication & authorization (OAuth, JWT, SSO).
 Hands-on experience with Azure services, especially Azure AD (Entra ID).
 Experience with secure coding practices and data protection.
 Familiarity with API integrations (Stripe, SendGrid, etc.).
 Experience with logging frameworks and monitoring tools.
 Understanding of CI/CD pipelines and cloud deployments.
 Strong debugging, problem-solving, and communication skills.

Good to Have
 Experience with containerization (Docker, Kubernetes)