科技職缺
職缺列表
Mlops Engineer
Remote MLOps Engineer designing and maintaining scalable ML pipelines for training, validation, and deployment, while monitoring model performance and collaborating with data scientists and engineers across cloud platforms (GCP, Azure Databricks).
AI/ML Lead Engineer
Remote AI/ML Lead Engineer driving the full ML lifecycle for banking clients, building LLM and agentic AI solutions on Gemini and Amazon Bedrock with strong MLOps practices.
Machine Learning (ML) Engineer
ML Engineer integrating and deploying AI/ML models into production at an AI company, optimizing inference pipelines, managing CI/CD, and building agentic and multimodal (text/vision/audio) workflows using Python, PyTorch, TensorFlow, FastAPI, LangGraph, and Docker/Kubernetes on AWS/GCP/Azure.
Mlops Engineer
Lead the architecture and development of complex, high-scale ML systems while driving technical decisions and mentoring teams. Core stack includes Python, AWS SageMaker, Kubernetes, MLflow, Kubeflow, Docker, TensorFlow, and CI/CD pipelines for end-to-end MLOps workflows.
Staff Software Engineer, AI Solutions & Platforms
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description About the Role At Thermo Fisher Scientific, you’ll do meaningful work that makes a positive global impact. Join our colleagues in…
Software Engineer II, AI Solutions & Platforms
Hands-on software engineer designing and shipping production-grade Generative AI and backend systems (RAG pipelines, agentic workflows, REST APIs) using Python, FastAPI, LangChain/LangGraph, and Azure/OpenAI/Anthropic LLM integrations at Thermo Fisher Scientific in Bangalore.
Solutions Architect 4
Senior Solutions Architect advising on Databricks platform architecture (Lakeflow, Delta Lake, Unity Catalog, Mosaic AI, Databricks SQL) for DOE/LANL data workloads; 100% remote but requires U.S. citizenship and DOE Q security clearance.
Machine Learning Engineer
Build and deploy ML pipelines at Darwill using Databricks, covering training/serving workflows, feature engineering, model monitoring with drift detection, experiment tracking, and A/B testing for marketing models.
Data Architect
Design, evolve and govern the enterprise data architecture for a trader-facing analytics platform — spanning real-time streaming, Data Lake/Lakehouse, and AI/ML-ready infrastructure — while setting data standards and mentoring data engineers.
Senior Data Scientist (Факторы ранжирования LLM)
Senior Data Scientist on Ozon's Ads ranking team, building and deploying custom neural networks (transformers and LLMs) for ad auction models that predict user behavior across search, catalog, and recommendations.
Data Scientist
Data Scientist at Lunar, a Nordic challenger bank in Aarhus, designing and deploying ML models for fraud detection, transaction monitoring, risk scoring, and growth. Core stack: Python with scikit-learn/TensorFlow/PyTorch, MLflow and Metaflow, on AWS SageMaker/Kubeflow.
Software Engineer I, Applied AI Solutions
Hands-on engineering role designing and building production-grade Generative AI, RAG, and agentic workflow solutions for Thermo Fisher Scientific. Uses Python, FastAPI, LLMs (Azure OpenAI, Anthropic Claude), vector stores (PostgreSQL/pgvector, Qdrant), and cloud platforms.
AI Architect
Design end-to-end AI and Agentic AI architectures for enterprise systems, collaborating with cross-functional teams to build scalable, secure, and governable solutions. Core stack spans cloud platforms (Azure, AWS, GCP), MLOps tooling, and agentic AI frameworks like LangChain and CrewAI.
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.