科技職缺
職缺列表
Solution Architect
Solution Architect for a consulting firm designing multi-cloud (AWS/Azure/GCP) and Generative AI/Agentic AI platforms for clients. Owns end-to-end solution architecture spanning applications, data, integration, security, infrastructure, and LLMOps, with hands-on POCs and stakeholder leadership.
Solution Architect
Solution Architect / Technical Lead designing enterprise-grade multi-cloud and GenAI solutions across AWS, Azure, and GCP. Owns end-to-end architecture for applications, data, integrations, security, and observability, with deep focus on RAG, AI agents, and LLMOps while leading client POCs and MVPs.
Senior Software Engineer
Senior Software Engineer at Wells Fargo's Chief Data Office, designing and maintaining a cloud-native, highly scalable data platform that powers enterprise analytics, big data processing, and AI/ML workloads on OpenShift, Kubernetes, Spark, Trino, Iceberg, and object storage.
Analyst - Data Scientist
Individual-contributor Data Scientist role at AstraZeneca's Alexion rare-disease division in Bangalore, building and deploying AI/ML and statistical models (XGBoost, survival, MMM, NLP) on Snowflake healthcare data (claims, EMR, lab) to drive commercial analytics, patient targeting, and forecasting.
Data Scientist - Data Modeling/analytics
Career Category Information Systems Job Description Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and…
Data Engineer
Data Engineer/Scientist on a multidisciplinary team building ETL pipelines and data infrastructure to support AI/ML and LLM solutions for an intelligence community customer. Core tech: Python (NumPy, Pandas, Polars), PySpark/Spark, Temporal.io, AWS, GitLab.
Analyst - Data Scientist
Job Title: Analyst - Data Scientist Grade : C3 Shift: 2 pm to 11 pm IST Role: Individual contributor role. Location: Manyata Tech Park, Bangalore. Introduction to role: Are you ready to dive into the world of…
Data Scientist Lead
Job Description Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people…
Data Scientist
Job Description Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people…
Manager, Forward Deployed Engineering - CMEG
CSQ227R53 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud…
Data Scientist
Data Scientist shipping real-time ML scoring, recommendation, and fraud/risk models in production for an AdTech loyalty platform. Owns A/B testing, data/prediction drift monitoring, and latency optimization using Python, XGBoost/LightGBM, SQL, Docker, and MLflow.
Senior Data Engineer
Design and build scalable cloud-native data platforms from greenfield to production, including near-real-time event-driven pipelines, Data Lake/Lakehouse architectures, and AI-ready infrastructure. Core stack: Python, SQL, Apache Spark/PySpark, Databricks, Kafka, Airflow, Azure/AWS/GCP, Terraform.
DevOps-инженер (ML/AI, DevSecOps, MLSecOps)
В Блоке Информационной безопасности в Департаменте координации защиты информации в Управлении безопасности инфраструктуры открыта вакансия для DevOps-инженера (ML/AI, DevSecOps, MLSecOps) Ключевые задачи:…
Software Engineer ML/Gen AI Platform Support
Senior engineer who designs, builds, and maintains an internal Machine Learning and Generative AI platform on AWS (SageMaker, Bedrock), creating shared tooling, IaC, CI/CD, and observability that lets other teams build, deploy, and operate ML and GenAI solutions at scale.
Стажер CV ML Engineer
Intern CV ML Engineer at Sber developing and deploying computer vision models for bank document recognition (passports, bank cards, licenses) and fine-tuned VLMs for unstructured data extraction, using PyTorch and modern MLOps tooling.