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Builds and deploys end-to-end ML models (XGBoost, PyTorch/TensorFlow) for energy-sector digital transformation, collaborating cross-functionally to solve business problems with Python/SQL and cloud platforms (AWS/GCP/Azure).
Build and deploy ML models for credit scoring and risk assessment in a fast-growing fintech payments company, using Python, MLOps, and production-grade pipelines.
Ищем DevOps / MLOps Engineer для построения, эксплуатации и сопровождения инфраструктуры AI-платформы. Специалист будет отвечать за развертывание LLM-моделей, поддержку Python/Java-приложений, баз данных, CI/CD…
LLM Engineer builds, fine-tunes, and deploys large language models for banking use-cases, handling full ML lifecycle from data prep to production inference in strict SLA environments.
Leads the design and evolution of Target’s enterprise AI/ML platform, defining architecture for scalable, cloud-native ML lifecycle management, deployment, governance, and observability to enable cross-functional teams to build and deploy AI solutions at scale.
Build and optimize ML models for lead generation and fintech scoring, including classification, ranking, NLP, and bandit algorithms using Greenplum, ClickHouse, and MLflow.
Build and deploy enterprise-grade ML systems using Python, Docker, Kubernetes, and MLOps tools like MLflow.
Software Engineer - AI Location: Gurugram, India Department: Engineering At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and…
Build, tune, and deploy ML models in Python using TensorFlow, PyTorch, and Spark ML to power scalable AI features for Conga’s commercial-operations platform.
Lead AI/ML projects, mentor teams, and design scalable pipelines for clients, translating complex data into business strategies using Python, Spark, and MLflow.
Staff ML Engineer specializing in generative AI for voice and speech, designing scalable AI-powered features and infrastructure to enable product innovation at Weave. Focuses on audio/voice models, LLMs, RAG, and distributed systems for large-scale B2B applications.
Build and lead ML infrastructure for voice/GenAI at scale, enabling teams to ship AI-powered features while democratizing ML tooling for developers.
Build and ship full-stack products with GenAI and agentic capabilities using modern frameworks and cloud-native AI services.
Build and deploy multi-agent AI systems, multimodal pipelines, and RAG/Graph-RAG for fintech use cases using Python, PyTorch, and Databricks.
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
Lead AI-driven transformation for global manufacturing and supply operations, deploying agentic systems and LLMs to optimize processes and KPIs across Opella’s network.
Build and deploy ML models to optimize healthcare copay programs and extract insights from pharmaceutical data using Python, R, and MLOps tools.
Lead the MLOps platform for autonomous-driving teams, building scalable AWS/Kubernetes pipelines with Ray, Airflow, and MLflow to train and deploy perception models in safety-critical automotive systems.
Lead the build and operation of MLOps platforms on AWS for autonomous-driving ML workloads, using Ray, Kubernetes, Airflow, and MLflow to ensure reproducible, traceable, and auditable pipelines.
Design and implement scalable MLOps/LLMOps pipelines on AWS, including SageMaker, EKS, and CI/CD, to deploy and monitor production-grade AI models for enterprise clients.
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