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Build and operate scalable ML training systems and pipelines on AWS and Kubernetes, optimizing GPU-based workloads, enabling Gen AI/LLM fine-tuning workflows, and improving platform reliability and developer experience.
Role : Low-Code Platform Architect Work Location : Bangalore / Noida Work Model : Onsite (5 Days work from Office) We are seeking an experienced Low-Code Platform Architect with 10–15+ years of experience to lead the…
Join the Mission at Cyber B.A.T. At Cyber B.A.T., we believe in one simple idea: Take care of those that take care of you. We’re a Service-Disabled Veteran-Owned Small Business delivering engineering, cybersecurity,…
We’re looking for a Senior AI Engineer to help build production-grade AI systems with a strong focus on retrieval quality, agent orchestration, and reliability at scale . You would take ownership of the full RAG…
We are looking for an Experienced Data Engineer with strong hands-on experience in Databricks -based data platforms. The role focuses on building, optimizing, and maintaining scalable data pipelines, data lakes, and…
Aflac is building the specialist capability required to move AI from experimentation into scaled business impact. These roles will help transform customer and employee experiences, strengthen our enterprise AI, cloud…
About Sennos Sennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and control for the Fluid, Fermentation, and Bio-manufacturing industries. With a revolutionary integration of hardware,…
The AI Product Manager will lead the strategy, development, and scaling of enterprise AI solutions within Mattel's Office of AI. This role involves collaborating across business functions to implement AI-powered workflows while ensuring compliance with responsible AI governance and security standards.
Builds and evaluates high-quality multimodal datasets to train and improve AI foundation models, using Python and data libraries while collaborating with research teams.
Role Title: Senior Data Engineer (GCP, Agentic AI) Location: Norwest, NSW Start Date: ASAP Duration: 12 Months Contract with high possibility of extension Working Flexibility: Hybrid (3 days onsite) NTT Data is seeking…
Principal Engineer in Vulnerability & Exposure Management at Zscaler, leading security initiatives to discover, prioritize, and reduce risks across cloud, apps, and infrastructure using AI-driven automation and threat intelligence.
Senior backend engineer building and scaling cloud-native data pipelines and microservices in Java/Spring Boot and Python to power Zscaler’s AI-driven security operations platform for global enterprises.
Lead Technical Recruiter, Engineering & GTM Location: Santa Clara, CA (3-5 days/week onsite) About Orkes Orkes is building the modern workflow orchestration platform for distributed applications, helping…
Build and operate data pipelines, workflow orchestration, and warehouse modeling for a climate-tech company using Python, SQL, and tools like Airflow/Dagster/Prefect.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation…
A Software Engineer Level 1 develops graphical user interfaces and dashboards, manages applications on AWS, integrates AI/ML models, and automates workflows, focusing on problem-solving and innovation.
Build and own end-to-end features on a cloud enterprise platform using Python backend and React frontend, integrating AI tools while designing resilient systems and maintaining production systems.
Design and maintain scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and AWS services to build secure, compliant data platforms for federal clients.
Principal Data Engineer designing and building scalable Databricks data pipelines and Lakehouse architectures for a global tech consultancy, using Python, Spark, SQL, Delta Lake, and orchestration tools.
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