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Lead a team to design and maintain scalable data pipelines and analytics platforms for gaming clients using Microsoft and Azure cloud technologies, with a focus on Databricks and Snowflake.
Designs, builds, and deploys AI/ML models and pipelines for scalable production systems, focusing on computer vision, NLP, and generative AI.
Designs and builds cloud-native generative AI applications using LLMs, orchestration, and cloud services while collaborating with data scientists and platform engineers.
Senior AI Engineer builds and runs secure, scalable generative-AI systems on AWS using Python/.NET, integrating them with enterprise apps and data while leading the full engineering lifecycle.
Develop AI/ML-powered mobile and web apps for a global media giant, integrating models for personalized content, search, and dynamic experiences while collaborating with cross-functional teams.
Designs and builds scalable data pipelines and AI-driven architectures to process, store, and analyze large datasets for enterprise decision-making at Cisco.
Designs and maintains AI workflows that automate internal business processes across HR, Finance, Operations, and CRM, using Python and LLM-based agents to improve decision quality and reduce manual effort.
Designs, automates, and maintains secure, scalable cloud infrastructure on Google Cloud Platform (GCP) for a growing fintech company, using Terraform, Kubernetes, CI/CD, and Python/Bash.
Designs and governs AWS-based data lake and cloud data architectures for a digital banking platform, ensuring scalability, security, and reliability for analytics and machine learning.
MLOps Technical Manager Who is Parser? Technology alone does not create impact-the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve…
Designs and governs enterprise-scale AI architectures (traditional ML, generative AI, and agentic systems) for a global insurance claims and risk-management company, aligning technology with business transformation across multiple regions.
Build and deploy AI agents and knowledge systems to accelerate drug delivery R&D at Eli Lilly, turning complex scientific data into actionable insights and automated workflows.
Senior engineer building and operating a provider-agnostic GenAI platform with guardrails, retrieval, agentic infrastructure, and observability for internal teams at a large investment management company.
Design and implement enterprise-scale AI platforms and intelligent applications using Generative AI, LLMs, and cloud-native architectures for Fortune 1000 clients.
Build and deploy ML models in Azure, focusing on recommendation systems and MLOps pipelines for scalable production use.
Lead machine-learning systems that power real-time ad targeting and personalization, using Python, PyTorch/TensorFlow, and MLOps pipelines.
Senior AI engineer builds and deploys production-grade AI systems—LLM integrations, RAG pipelines, agentic workflows, and MLOps—using Python, cloud platforms, and AI orchestration frameworks for an insurance company.
Lead architecture for multi-agent AI systems, LLM orchestration, and AI automation workflows at a global adtech agency, mentoring engineers and setting engineering standards.
Build and deploy generative-AI applications using Large Language Models (LLMs) on Azure OpenAI, integrating frameworks like LangChain and LlamaIndex to create scalable NLP solutions for data-driven decision making.
Sr. Data Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront…
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