Yochana

www.yochana.com

69 Jobs

342 Employees

About the Company

Yochana: Your Trusted Workforce Partner Across North America & Beyond
For over 15 years, Yochana has been a leading talent acquisition firm, connecting businesses with top professionals across industries. Headquartered in Farmington Hills, Michigan, we specialize in temporary workforce solutions, permanent placements, contract-to-hire, and recruitment process outsourcing (RPO) across the USA, Canada, Mexico, and India.

At Yochana, we go beyond traditional hiring agencies--our customized recruitment strategies and AI-driven talent solutions help businesses scale faster and smarter. Whether you need IT specialists, engineering professionals, healthcare experts, logistics personnel, or niche industry talent, our extensive candidate network ensures the right fit for your business needs.

Why Yochana?
End-to-End Workforce Solutions - Temporary, Permanent, Contract, RPO & On-Site Talent Acquisition
Industry-Specific Hiring - IT, Healthcare, Engineering, Finance, Logistics & More
Diversity & Inclusion Focus - Promoting diverse hiring and equal opportunities
Expansive Global Reach - Serving businesses across USA, Canada, Mexico & India
Local Expertise - Proudly based in Farmington Hills, Michigan, connecting businesses with top professionals

Looking for recruitment agencies near me? Searching for workforce solutions in Michigan? Yochana is your trusted talent acquisition partner--connecting top companies with exceptional professionals.

Learn more: www.yochana.com
Contact us: hello@yochana.com | +1 248-213-6465

#TalentAcquisition #WorkforceSolutions #HiringExperts #ProfessionalRecruitment #BusinessGrowth #MichiganJobs #TopTalent #USA #Canada #Mexico #HiringNearMe #CareerOpportunities

Listed Jobs

Company Name: Yochana
Job Title: Sr Business Systems Analyst (MuleSoft, Apache Kafka, RESTful APIs).)
Job Description: **Job Title:** Sr Business Systems Analyst (MuleSoft, Apache Kafka, RESTful APIs) **Role Summary:** Analyze business needs and design/implement technical integrations across platforms to enable seamless data exchange and workflow automation. Partner with stakeholders, architects, and development teams to deliver integration solutions that meet functional and technical standards. **Expectations:** - Translate business requirements into scalable integration designs. - Deliver high‑quality integration solutions on schedule. - Proactively identify and resolve integration issues. - Maintain clear communication and documentation for all integration activities. **Key Responsibilities:** - Gather and clarify business requirements for system integrations. - Assess existing applications, databases, and infrastructure for integration feasibility. - Design integration architectures (data mapping, workflow automation, interfaces) with enterprise and Salesforce architects. - Guide development teams in building and testing integration solutions. - Diagnose and remediate integration defects; provide support to QA and other stakeholders. - Produce and maintain documentation of designs, configurations, and troubleshooting procedures. - Report integration status, risks, and outcomes to stakeholders. **Required Skills:** - Expertise with integration platforms and APIs (MuleSoft, Apache Kafka, RESTful APIs). - Proficient in data formats (JSON, XML, CSV) and transport protocols (HTTP, FTP/SFTP). - Strong understanding of relational and NoSQL database concepts. - Experience with cloud environments (AWS, Azure) and their integration capabilities. - Analytical problem‑solving and strong stakeholder communication. - Ability to work collaboratively in hybrid team settings. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Technology, or related field. - 3–5 years experience as a Business Systems Analyst or similar role with a focus on technical integrations. - Preferred certifications: TOGAF, ITIL, Salesforce (optional).

Company Name: Yochana
Job Title: Azure Cloud AI/ML Engineer | Scarborough, ON
Job Description: **Azure Cloud AI/ML Engineer** **Role Summary** Design, implement, and manage scalable Azure cloud solutions with a focus on AI/ML integration, CI/CD pipeline automation, and infrastructure optimization for application deployment and operational excellence. **Expectations** 6–9 years of Azure cloud engineering experience, hands-on expertise in CI/CD pipelines, infrastructure automation (IaC), containerization (Docker/Kubernetes), and AI/ML model deployment using Azure platforms. **Key Responsibilities** - Design and maintain Azure cloud infrastructure using Terraform, ARM templates, or Azure DevOps for scalability, security, and cost efficiency. - Build and optimize CI/CD pipelines for application deployment using Azure DevOps, GitHub Actions, or Jenkins, ensuring version control and rollback capabilities. - Develop scripts, automation tools, and integrations with Python, PowerShell, or C#. - Containerize and deploy applications via Docker/Kubernetes (AKS), collaborating with development teams. - Integrate AI/ML models into cloud applications using Azure ML, Cognitive Services, or OpenAI Service, ensuring secure deployment and monitoring. - Implement cloud monitoring, logging, and performance optimization with Azure Monitor, Log Analytics, and Application Insights. - Enforce DevSecOps practices, access control, and security compliance in cloud environments. **Required Skills** - Proficiency in Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM). - Scripting/development expertise in Python, PowerShell, or C#. - Hands-on experience with Docker, Kubernetes (AKS), and microservices architecture. - Understanding of AI/ML workflows and Azure platform tools (ML, Cognitive Services). - Experience with cloud monitoring and troubleshooting (Azure Monitor, Log Analytics). **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field. - Preferred certifications: Azure (AZ-104, AZ-204, AZ-400).

Company Name: Yochana
Job Title: Cloud Engineer
Job Description: **Job Title** Cloud Engineer **Role Summary** Design, implement, and manage enterprise‑grade Azure cloud solutions with a focus on CI/CD automation, application deployment, and AI/ML integration to deliver scalable, secure, and cost‑optimized services. **Expectations** - 6–9 years of Azure Cloud experience (DevOps, IaC, and production deployments). - Proven track record of building and maintaining CI/CD pipelines and IaC workflows. - Ability to integrate and manage AI/ML models within Azure services. - Strong analytical, problem‑solving, and communication skills. - Comfortable working in agile, fast‑paced environments. **Key Responsibilities** - **Infrastructure Design & Deployment** – Architect and maintain Azure resources, ensuring scalability, security, and cost efficiency. - **Automation & IaC** – Provision and configure infrastructure using Terraform, ARM templates, or Azure Bicep. - **CI/CD Pipeline Management** – Build, test, and deploy pipelines with Azure DevOps, GitHub Actions, or Jenkins; implement version control (Git) and rollback strategies. - **Scripting & Development** – Create automation scripts in Python, PowerShell, or C#; containerize applications (Docker) and orchestrate with AKS. - **AI/ML Integration** – Deploy and monitor models via Azure Machine Learning, Cognitive Services, or OpenAI APIs; collaborate with data/AI teams for production readiness. - **Monitoring & Security** – Configure Azure Monitor, Log Analytics, Application Insights; enforce DevSecOps practices and access controls. **Required Skills** - Azure DevOps, CI/CD, and IaC proficiency. - Scripting in Python, PowerShell, or C#. - Docker, Kubernetes (AKS), and microservices knowledge. - Experience with Azure ML or related AI services. - Monitoring, logging, and troubleshooting in Azure. - Git, version control, and agile development familiarity. - Strong communication, collaboration, and problem‑solving abilities. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field. - 6–9 years of experience in Azure Cloud Engineering. - Azure certifications (AZ‑104, AZ‑204, AZ‑400) preferred but not mandatory.

Company Name: Yochana
Job Title: Artificial Intelligence Engineer
Job Description: **Job title**: Artificial Intelligence Engineer **Role Summary** Design, develop, and deploy generative AI and large language model (LLM) solutions. Lead end‑to‑end AI projects, apply advanced prompt engineering, embeddings, and similarity search techniques, and integrate models into scalable cloud environments. **Expectations** - Deliver high‑quality AI models and applications that meet business goals. - Collaborate with cross‑functional teams to define requirements and success metrics. - Continuously improve model performance, scalability, and reliability. **Key Responsibilities** - Implement LLMs and generative AI solutions using Python libraries. - Engineer prompts (few‑shot, chain‑of‑thought, RAG), embeddings, and similarity search workflows. - Build and maintain ML pipelines on Databricks and Azure. - Apply model context protocol (MCP) and multi‑agent frameworks. - Train and fine‑tune open‑source LLMs (e.g., Llama). - Develop test cases, manage requirements, and align with automotive SPICE if required. - Mentor junior team members and share best practices. - Engage in product or project management activities as needed. **Required Skills** - Python programming with AI/GenAI libraries. - Prompt engineering, embeddings, similarity search. - Machine Learning & NLP fundamentals. - Databricks, Azure cloud, LangChain, OpenAI. - MCP, Multi‑Agent frameworks. - Experience with open‑source LLMs and model training. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.

Troy, United states

On site

19-12-2025

View 69 more jobs at Yochana