human resources

Arohak Inc.

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 Design, develop and support computer applications.
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 Develop and direct software system testing and maintenance tasks.
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 Build applications using various software tools and technologies such as MS SQL Server, SSIS, SSRS, VMWare, SAN, UNIX, .Net, JAVA, UI/UX, Oracle, Sales Force. Will work in unanticipated locations. Work under supervision.
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 Will work in unanticipated locations. Work under supervision. Travel and/or Relocation to unanticipated Client sites throughout USA is required.
 
 
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 About Arohak
 
 
 
 Arohak, Inc. is a women-owned and diversity-certified global IT Services and Consulting company delivering innovative, scalable, and purpose-driven technology solutions. With a strong client-centric approach and focus on operational excellence, Arohak helps organizations transform their business through modern engineering, cloud platforms, and intelligent solutions.
 
 
 We combine human expertise, process excellence, and purpose-built technology to solve real-world business challenges and create measurable impact. Our commitment to diversity, innovation, and long-term client partnerships makes Arohak a trusted technology partner for organizations worldwide.
 
 
 Our teams work across enterprise platforms, cloud environments, and modern application architectures to deliver secure, scalable, and high-performing solutions that enable business growth and digital transformation.
 
 
 Role Overview
 
 
 We are seeking an
 
 AI / ML Engineer
 
 to design, develop, and deploy end-to-end machine learning models and scalable data pipelines. The role involves working on data analysis, feature engineering, model training, experimentation, and statistical evaluation to ensure high-quality model performance.
 
 
 You will contribute to building intelligent systems by deploying models into production environments using APIs and cloud platforms while continuously improving model accuracy, reliability, and efficiency. This role requires close collaboration with engineering, data, and product teams to deliver AI-driven solutions aligned with business goals.
 
 
 Key Responsibilities
 
 
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 Design, develop, and deploy end-to-end machine learning models and data pipelines
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 Perform data preprocessing, feature engineering, and model training
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 Conduct experimentation and statistical evaluation to improve model performance
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 Build scalable data workflows for training and inference
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 Deploy machine learning models into production environments using APIs and cloud platforms
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 Monitor model performance and continuously optimize accuracy, reliability, and efficiency
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 Collaborate with software engineers, data engineers, and product teams to deliver AI-powered solutions
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 Work with structured and unstructured data to build predictive and analytical models
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 Ensure scalability, maintainability, and performance of AI systems
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 Maintain documentation for models, experiments, and implementation workflows
 
 
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 Required Qualifications
 
 
 
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 Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, Mathematics, or related field (or equivalent practical experience)
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 Hands-on experience in machine learning or data science through academic projects, internships, or professional experience (3+ years preferred but not mandatory)
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 Strong programming skills in Python or R
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 Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
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 Experience working with data processing libraries such as Pandas and NumPy
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 Knowledge of SQL for data analysis and data extraction
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 Understanding of machine learning algorithms, statistics, and model evaluation techniques
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 Experience deploying machine learning models on cloud platforms such as AWS, Azure, or Google Cloud Platform
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 Strong analytical thinking and problem-solving skills
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 Ability to collaborate effectively in cross-functional teams
 
 
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 Good to Have
 
 
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 Experience with Docker and Kubernetes
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 Familiarity with MLOps practices and model lifecycle management
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 Experience building REST APIs for ML model deployment
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 Knowledge of data pipelines and ETL workflows
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 Experience with version control tools such as Git
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 Understanding of distributed systems or scalable architectures
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 Exposure to Agile or Scrum methodologies
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 Experience with monitoring and logging tools
 
 
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 Why Join Arohak
 
 
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 Opportunity to work on real-world AI and machine learning solutions
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 Exposure to enterprise-scale data and intelligent systems
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 Collaborative environment focused on innovation and continuous learning
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 Work with experienced engineers and technical leaders
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 Opportunity to contribute to impactful, data-driven products
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 Inclusive and diversity-focused workplace culture
 
 
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 &zwj;
</div>

AI / ML Engineer

Qureos

SEO Specialist Qureos | Full-Time About Qureos Qureos is an AI-powered recruitment platform helping companies hire smarter and faster. We’re building products that make hiring more efficient for employers and more transparent for candidates, and we’re scaling fast. Organic growth is a core growth lever for us, not a side channel. We’re looking for an SEO Specialist who will own this end-to-end and build it into a compounding growth engine. What You’ll Do <ul><li>Own SEO End-to-End</li><li>Fully own SEO - strategy, execution, and outcomes</li><li>Build and scale organic growth from the ground up as an individual contributor</li><li>Define what “good” looks like and execute toward it without waiting for direction</li></ul> Technical SEO &amp; Site Health <ul><li>Own crawlability, indexation, Core Web Vitals, structured data, and site architecture</li><li>Run continuous audits using tools like Screaming Frog and Google Search Console</li><li>Identify and fix issues before they impact performance</li><li>Build monitoring systems to stay ahead of problems, not react to them</li></ul> Programmatic SEO &amp; Scale <ul><li>Identify and execute programmatic SEO opportunities from scratch</li><li>Build scalable page templates and define content logic for high-volume landing pages</li><li>Write clear PRDs and work directly with engineering to ship quickly</li><li>Operate independently, no guaranteed dev bandwidth early on  </li></ul>Automation &amp; Systems Thinking <ul><li>Build systems that reduce manual work and increase leverage</li><li>Set up automations for:</li></ul><ol><li>Rank tracking</li><li>Content gap analysis</li><li>Internal linking</li><li>Reporting</li></ol><ul><li>Use AI tools (e.g., Claude Code or similar) to move faster and experiment more  </li></ul>Strategy, Experimentation &amp; Growth <ul><li>Own the SEO roadmap, what gets built, when, and why</li><li>Prioritise based on traffic, revenue impact, and marketplace growth</li><li>Continuously run experiments across content, structure, and internal linking</li><li>Track performance using tools like Mixpanel and PostHog</li><li>Connect SEO efforts to:</li></ul><ol><li>Traffic growth</li><li>Revenue / pipeline</li><li>Marketplace liquidity (candidates + employers)  </li></ol>Cross-Functional Collaboration <ul><li>Work directly with the Head of Growth to align on priorities</li><li>Partner with sales to understand real buyer intent and feed it into SEO strategy</li><li>Collaborate with product and engineering to ship improvements quickly</li><li>Own content direction, ensuring everything shipped is intent-driven and high quality</li></ul> Who This Role Is For <ul><li>This is a zero-to-one builder role.</li><li>You’re not inheriting a polished SEO engine, you’re building one.</li></ul>You:<ul><li>Take full ownership without waiting for structure</li><li>Are comfortable operating independently with limited resources</li><li>Enjoy being hands-on, in the data, in the tools, in the experiments</li><li>Think in systems, not one-off wins</li><li>Move fast, test constantly, and iterate based on results</li></ul> If you prefer managing agencies or working within clearly defined processes, this role will feel uncomfortable. What We’re Looking For <ul><li>4-6 years of SEO experience with a strong technical foundation</li><li>Proven experience in B2B SaaS, marketplaces, or high-intent products</li><li>Hands-on experience with programmatic SEO and scalable page creation</li><li>Strong analytical skills, comfortable with Ahrefs, Google Search Console, Screaming Frog, Mixpanel, PostHog</li><li>Experience working directly with engineering and writing PRDs</li><li>Ability to operate independently without heavy support structures</li><li>Familiarity with automation (Python, scripts, no-code tools, or similar)</li><li>Experience using AI tools to accelerate workflows</li><li>Excellent communication skills, clear, structured, and direct</li></ul> Nice to Have <ul><li>Experience with Webflow CMS</li><li>Background in HR tech, recruitment, or marketplaces</li></ul> LocationRemote

SEO Specialist

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AI / ML Engineer

SEO Specialist