AI and Machine Learning Jobs

Build and deploy large-scale voice AI distributed systems and integrate voice models into production platforms. Collaborate with product and customer teams; use Python/Go/Java, LLM applications, agents and Kubernetes. ...read more

Develop cloud-based AI/ML solutions for intelligent enterprise services, owning code from design through delivery. Apply Java/Python, algorithms, design patterns, profiling, unit testing and production engineering. ...read more

Build and maintain scalable cloud-native applications for AI and analytics clients. Develop with C#/.NET and Java or Python, implement tests and CI/CD, and work with Azure/GCP/AWS and SQL Server. ...read more

Build multi-agent workflows and agent-to-agent systems that integrate LLMs with enterprise APIs and tools. Implement RAG, vector search, orchestration, evaluation, observability, cloud infrastructure and secure deployment using Terraform, Docker and Kubernetes. ...read more

Own and architect end-to-end ML/AI solutions, integrate models into business applications and lead cross-team machine-learning delivery. Use Python, PyTorch/TensorFlow, scikit-learn, MLflow, Databricks and retrieval/ranking techniques. ...read more

Develop, evaluate and optimize production ML models, including data processing, feature engineering and runtime performance improvements. Work with Python, PyTorch/TensorFlow, scikit-learn, Spark ML and MLflow. ...read more

Work on post-training for language models and related ML systems. The listing highlights machine learning and LLM skills for an India-based technical staff role. ...read more

Develop predictive and prescriptive models, production ML, feature engineering, model monitoring and MLOps workflows. ...read more

Lead technical direction and delivery for shared platform services that connect modernization tools, AI agents, and developer environments. Focus on scalable architecture, secure integrations, observability, and reusable services across cloud platforms. ...read more

Develop core platform capabilities that make it easier to build and deploy AI applications on MongoDB, focusing on distributed systems performance, scalability, and reliability. Skills include Java, Python, Kubernetes, and cloud platforms. ...read more