... accepted. Compensation Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $8/hr . Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.
... accepted. Compensation Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $8/hr . Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.
... accepted. Compensation Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $8/hr . Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.
... accepted. Compensation Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $8/hr . Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.
... accepted. Compensation Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $8/hr . Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.
... design reviews and continuously improve product quality. AI-Native Design Core Requirement Use AI extensively as part of your everyday design workflow . Apply AI for research, ideation, UX exploration, UI design, prototyping, design systems and design-to-code . Experience with tools such as ChatGPT, Claude, Figma AI/Figma ...
... develop, and deploy enterprise-grade AI and Generative AI solutions. The role requires strong hands-on engineering expertise along with the ability to lead complex AI initiatives and guide engineering https://jobeax.com/link/ZlR3JZToBtLJKlA9 Responsibilities : - Design, develop, and deploy production-grade AI/ML solutions.- ...
Shift Timings: Design, build, and maintain robust ETL/ELT pipelines feeding a Snowflake-based data platform Build and manage integrations using SnapLogic to connect source systems, APIs, and downstream consumers Develop and maintain data models and transformations in dbt, including tests, documentation, and CI/CD-based ...
... experience. ~6+ years of professional experience in software engineering designing and building ML- driven products, with at least 3 years focused on production ML systems. ~ Fundamental knowledge of Data Engineering and extensive experience in developing and deploying ML models, as well as building and maintaining ML pipelines ...
... https://jobeax.com/link/Cexs453KRiH2S1rJ : - Experience with NLP, Legal AI, document intelligence, or LLM applications.- Exposure to AI applications in regulated or high-stakes domains.- Experience taking ML research prototypes into production https://jobeax.com/link/dSfxfMeSKtZY7pT9 You'll Get : - Opportunity to work on AI-first products involving ...
... a working data-collection or perception pipeline. - Support technical discovery, demos, and proof-of-concepts as the sensing SME alongside solutions leads. - Maintain clear device profiles, feed specs, and known-limitation notes so the team can reuse your findings rather than re-deriving them. MUST HAVE - 3–5 years hands-on ...
... industry experience in leading industry research teams will be a big plus.- Good programming capabilities in as C/C++, Java, Python - Hands on Experience with ML frameworks such as TensorFlow/PyTorch/Caffe is preferable- Working level familiarity with Android platform will be a huge plus- Expertise in ML techniques such ...
... Remote Type: Contract( Comfortable with a 6-month contractual role) Requires strong hands-E xperience in AI and Data Engineering with strong expertise in Azure OpenAI, Azure AI Foundry, Agentic AI, RAG, LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on ...
... data quality checks, testing, and automation into every stage of the pipeline Improve and extend existing data products; Own pipeline monitoring, alerting, and maintenance to keep the platform reliable and performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks ...
... Engineering, or related field. - 8+ years of experience in Devops and 3+ years in DBX. - Strong hands-on experience in Databricks (Spark, Delta Lake, PySpark, MLflow). - Proficiency in SQL and programming languages like Python or Scala. - Experience with Azure cloud data services. - Solid understanding of data modeling, ...
... Platform or Azure integration services.- Experience with DataOps, MLOps, AI operations, observability or model evaluation.- Experience contributing to enterprise AI operating models and governance frameworks.- Experience with FinOps and cost management for Azure, Fabric and AI workloads.- TOGAF or an equivalent architecture ...
... The incumbent will architect and implement the MLOps and LLMOps platform on Databricks, leveraging Agentbricks (Databricks Agent Framework), Databricks Apps, MLflow, Feature Store, Model Serving, and Mosaic AI — embedding rigorous CI/CD, drift monitoring, cost governance, and responsible-AI guardrails across the full lifecycle. ...
... reliability, and performance.- Develop AI solutions using - Azure OpenAI, Azure AI Search, and Azure AI Services- .- Build and manage ML/AI workflows using - Databricks, MLflow, and Delta Lake- .- Develop REST APIs, WebSockets, and event-driven services to integrate AI applications with enterprise systems.- Deploy containerized AI ...
... defects in JIRA with clear reproduction steps and impact analysis • Work closely with developers on code reviews and early testing (Shift-Left approach) • Use AI tools to speed up test generation, analyze failure patterns, review code, and quickly find information in documentation and past test runs • Maintain test documentation, ...
... outcomes. The candidate will work closely with Solution Architects, Data Engineers, Application Developers, Product Teams, and Business Stakeholders to drive AI/GenAI initiatives from ideation through https://jobeax.com/link/rH0yu1ler9U2ioyx Responsibilities :AI / ML / GenAI Leadership :- Lead AI, ML, and GenAI implementation ...