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DevOps engineer in the AI Lab of Rosselkhozbank's IT subsidiary, building CI/CD pipelines and administering the bank's RAISA MLOps platform for machine-learning development. Core stack: Kubernetes, Docker, JupyterHub, GitLab, MLflow, Airflow, PostgreSQL, ELK. Remote work or flexible schedule is possible.
Directeam empowers startups to scale their AWS infrastructure efficiently through our premier FinOps ecosystem. We combine our flagship automated savings engine, Sombrero Savings, with our latest innovation: a…
We are seeking an experienced and hands on Tech Leader for our Machine Learning Team. This pivotal role involves the development of our ML framework and platform, develop Machine learning models and support our MLOps…
Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create…
- Own ML/AI systems end-to-end: data pipelines, model training, serving infrastructure, monitoring, and iteration - Build LLM-powered applications with custom pipelines, prompt management, evaluation, and optimization…
Job Description lead advanced analytics, machine learning, and generative AI initiatives across the full lifecycle—from data exploration to production deployment. apply modern MLOps practices (automated pipelines,…
Fully remote AI Engineer role (hiring in Pakistan) at TeamFicient: design, build, and scale production-grade AI applications using LLMs, RAG, and Python, backed by cloud services (AWS/Azure/GCP) and Docker/Kubernetes. Full-time, $1,000–$1,500/month, 9-hour days scheduled between 7 AM and 7 PM CST.
Model Development: Assist in developing and implementing AI/ML models, focusing on Generative AI. Research and Analysis: Stay updated on AI trends; analyze data for model improvements. Deployment and MLOps: Help…
ConnectOS is hiring a Cloud Data Engineer to build and maintain AWS-based data pipelines, microservices, and cloud data platforms for an Australian education client, while also developing generative AI/LLM-powered solutions. Core stack: Python, SQL, AWS (Redshift, S3, Lambda), Terraform/CDK, with Databricks/PySpark and MLOps as pluses; hybrid role based in Mandaluyong.
Юзтех – группа аккредитованных ИТ-компаний полного цикла разработки с многолетней экспертизой в передовых технологиях: DWH, BigData, AI/ML, Blockchain, BI, предиктивная аналитика, цифровые двойники производства и…
About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform,…
Senior ML Engineer building an end-to-end ranking system for a fintech product: data pipelines and feature store (ClickHouse, Airflow), gradient boosting ranking models (CatBoost), low-latency ONNX production inference, A/B testing infrastructure, and model monitoring for drift and degradation.
Senior AI engineer builds and deploys autonomous LLM-driven agents and multi-step reasoning systems for global enterprises, using Python, LangChain, and RAG to power enterprise-ready AI co-workers.
Contract AI Data Engineer for a Federal Government Department, building scalable data pipelines and AI infrastructure for a National Skills Taxonomy. Day to day: operationalising ML, NLP and generative AI with Python, cloud platforms, model-serving APIs and MLOps/DevOps practices, working alongside data scientists.
A hands-on GCP engineer designs, builds and automates data, AI/ML and cloud-native platform solutions on Google Cloud, working with Dataflow, Apache Beam, BigQuery, Kubeflow, Python and Django while applying DevOps/MLOps practices for scalable enterprise deployments.
Build and maintain AI/GenAI features using Python, FastAPI, and MLOps tooling; write tests and deploy scalable solutions in a product-driven team.
Contract Senior AI Engineer role on a Federal Government AI and digital transformation program: designing, building, and deploying enterprise-scale generative AI, AI agents, and ML solutions using the Microsoft Azure AI stack (AI Foundry, Azure OpenAI), with RAG, Python, and MLOps. Pays $900–$1050/day incl. super; requires Australian citizenship and AGSVA Baseline clearance.
Recruited by Six Degrees Executive in Melbourne, this Senior Product Manager (Data & AI) owns a portfolio of data and AI products through a large-scale enterprise transformation, leading multiple squads from discovery to adoption. It demands a technical grounding in data science/engineering plus ML, GenAI, MLOps/LLMOps and platforms like Databricks or Snowflake.
Senior AI Engineer building and deploying enterprise generative AI applications and intelligent agents on Azure AI Foundry and Microsoft AI services for a major Australian Federal Government department. A 12-month contract (with extension option) spanning the full AI lifecycle, including MLOps/DevOps, responsible AI, and governance.
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