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Senior Data Engineer designs and implements data architectures using Databricks and Apache Spark on AWS/Azure, solving complex data engineering and ML Ops challenges for enterprise clients while mentoring junior engineers.
Own and ship end-to-end computer-vision models that turn aerial imagery, LiDAR and 3D geodata into building intelligence for property verification, using Azure ML, Python and geospatial tooling.
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users…
Build and improve Avito’s in-house large language models by designing experiments, training pipelines, and optimizing inference for production use.
Why SoftwareOne? SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize…
Build and maintain the AI/ML platform that deploys and monitors production models and LLMs, implementing MLOps pipelines and CI/CD for scalable, reproducible ML systems.
Design and deliver applied AI solutions like LLM workflows and agentic automation for clients, integrating them into business systems while working US hours from India.
About the Job As an AI Engagement Manager, you serve as the delivery interface between our AI Factory and Allianz Operating Entities (OEs). Partnering closely with Heads of IT (HoITs), Account Managers, and…
Senior ML Engineer builds and deploys ranking, semantic-search, and recommender systems using LLMs and vector databases to deliver personalized financial insights for global professionals.
Build and deploy scalable ML and GenAI pipelines, APIs, and deployment frameworks using Python, Azure ML, MLflow, and modern cloud MLOps practices.
Manages and optimizes AI/ML infrastructure, including GPU clusters and cloud environments, to ensure reliable, secure, and scalable AI system operations.
Secure AI systems and machine-learning platforms by assessing risks, monitoring threats, and enforcing compliance across MCI’s global BPO and CX operations.
Oversee and maintain AI infrastructure, ensuring high availability and security for machine learning platforms and model deployments in a global BPO environment.
Build and deploy enterprise-scale AI/ML models to power predictive analytics and automation for a global BPO and CX provider, using Python and cloud platforms.
Design and optimize enterprise RAG platforms using vector databases and semantic search to power AI-driven knowledge systems and integrations with LLMs.
Lead the design and implementation of enterprise-scale generative AI solutions using LLMs and prompt engineering, while mentoring teams and ensuring secure, compliant deployments.
Build and deploy machine learning models to automate and optimize business processes, using Python and cloud platforms to drive operational efficiency and strategic insights.
Build Retrieval-Augmented Generation systems that combine LLMs with enterprise knowledge, designing vector search pipelines and document ingestion to deliver accurate, context-aware AI responses.
Build and deploy ML models, focusing on computer vision and object detection, using MLOps for tracking and reproducibility.
Build and deploy medical imaging AI in hospitals, bridging model performance with clinical reliability and integrating models into radiology workflows.
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