AI and Machine Learning Jobs

Architect and deploy scalable ML APIs and pipelines, translating research models into production systems at large scale. The role focuses on ML engineering, MLOps, AWS, PyTorch/TensorFlow and technical leadership across Freshworks products. ...read more

Build scalable Java/Spring Boot services for Celonis’s enterprise AI and process-intelligence platform. The role works with microservices, AWS, Kafka, Spark, Databricks, Kubernetes and PostgreSQL in a team connecting enterprise process data with AI agents. ...read more

Build production-grade Generative AI and agentic systems, including RAG pipelines, multi-agent workflows, and cloud-native AI platforms. Skills include Python, FastAPI, Azure, vector databases, hybrid search, and AI evaluation; the role sits in enterprise software/AI engineering. ...read more

Architect and deliver end-to-end data science and ML solutions, including model training, feature generation, drift detection, document classification, and LLM deployment. The team works across AI/data science using Python, PyTorch, TensorFlow, and Hugging Face Transformers. ...read more

Develop, deploy, and optimize ML/deep-learning models while building supporting data ingestion and transformation pipelines. The stack includes Python, SageMaker, TensorFlow, PyTorch, S3, Glue, Redshift, FastAPI, NLP, and computer vision. ...read more

Design cloud data architectures, automate data management/reporting, and build Python API integrations and batch or real-time pipelines. The role uses AWS, Redshift, ETL/ELT, SQL, Python, and data warehousing within TCS engineering and operations. ...read more

Gather requirements and define use cases for GenAI and agentic-AI initiatives, partnering with architects and developers on intelligent workflows. The role bridges business stakeholders and technical teams across Azure Cloud, GenAI, conversational AI, and automation. ...read more

Design and deploy production AI solutions across cloud and on-prem environments, with emphasis on GenAI, deep learning, neural networks, computer vision, and conversational interfaces. The role is an AI/ML engineering position involving cross-team technical leadership and delivery. ...read more

Build and manage scalable AWS data pipelines and cloud data solutions using Python and services such as S3, Glue, Lambda, Athena, and Redshift. The role also covers SQL, Kafka, Linux, architecture optimization, and cross-functional cloud transformation. ...read more

Design and optimize scalable data pipelines and ETL workflows while maintaining data quality and reliable data integration. The role is a BI/data-engineering SME position using MicroStrategy, ETL, databases, and large datasets. ...read more