We’re looking for a motivated Non-IT Recruiter with US recruitment experience to manage the entire hiring process from start to finish. You’ll work closely with hiring managers to identify talent needs, source qualified candidates, and ensure a smooth recruitment experience for both clients and candidates. Key Responsibilities Partner with hiring managers to understand hiring requirements Source, screen, and interview candidates for a variety of non-IT positions in the US market Build and maintain strong candidate pipelines Coordinate interviews, collect feedback, and manage the offer process Keep accurate records in the applicant tracking system What We’re Looking For Proven experience in full-cycle US recruitment (non-IT focus preferred) Strong sourcing and networking skills Excellent communication and relationship-building abilities Organized, detail-oriented, and able to manage multiple priorities Comfortable working independently in a remote environment Why Join Us? 100% Remote work Supportive and collaborative team Opportunities to work on impactful hiring projects If you’re ready to bring top talent into great organizations, we’d love to connect. 📩 Apply now and take the next step in your US recruiting career, or send your resume directly to kunal.japra@hornetstaffing.com
About the Role: This is a permanent work-from-home position, aligned with US working hours We are looking for an experienced IT Recruiter to join our team. In this role, you will be responsible for end-to-end recruitment across IT, cybersecurity, and professional services. You’ll partner with hiring managers, source top talent, and manage candidates through the entire recruitment lifecycle. Key Responsibilities Manage full-cycle recruitment (sourcing, screening, interviewing, and offer management) for technical and professional roles. Partner with hiring managers to understand business needs and define effective hiring strategies. Source candidates through job boards, LinkedIn, referrals, networking, and other creative methods. Build and maintain strong candidate pipelines for current and future hiring needs. Screen candidates for technical and cultural fit before presenting to hiring teams. Provide a seamless candidate experience through clear communication and timely feedback. Track and update candidate activity in the ATS/CRM system. Stay updated on hiring trends, emerging technologies, and competitive market insights. Roles You’ll Recruit For Technical & Infrastructure: Network Engineers, IAM Specialists, IT Architects, Helpdesk/Desktop Support, Technicians Cybersecurity & Data: Cybersecurity Experts, DevOps Engineers, Data Scientists, Data Engineers, DBAs, Data Analysts Software Development & Testing: Developers (Java, .NET, QA/BSA), Testers Project & Product Management: Project/Program Managers, Product Owners/Managers, Business Analysts, Project Coordinators Creative & Professional Services: UX Designers, Talent Acquisition Specialists, Accountants High-Volume/Entry-Level: Customer Service Representatives, Data Entry Clerks Qualifications 2–5 years of proven experience as a Technical/IT Recruiter (agency or corporate). Strong knowledge of IT, cybersecurity, and professional services roles. Skilled in sourcing on LinkedIn and other platforms (Boolean search expertise a plus). Excellent communication and relationship management skills. Ability to prioritize and manage multiple requisitions simultaneously. Familiarity with ATS/CRM tools and MS Office/Google Suite.
About the Role We are looking for a proactive and results-driven Lead Generation Specialist to support our recruitment team. The ideal candidate will be responsible for identifying, qualifying, and generating leads (potential clients) to help expand our talent pool and client base. You will work closely with business development teams to build strong pipelines that fuel successful hiring. Key Responsibilities - [ ] Conduct market research to identify potential clients. - [ ] Generate and qualify leads through online platforms (LinkedIn, job portals, databases, etc.). - [ ] Build and maintain a database of prospective clients. - [ ] Use tools such as CRM, ATS, and lead management software to track and update lead information. - [ ] Collaborate with recruiters to pass on qualified leads for further engagement. - [ ] Engage with potential clients through calls, emails, and messages to initiate interest. - [ ] Analyze lead generation campaigns and suggest improvements to maximize conversion rates. - [ ] Stay updated on industry trends, competitor activities, and recruitment market insights. Requirements - [ ] Bachelor’s degree in Business, HR, Marketing, or related field (preferred). - [ ] Proven experience in lead generation, recruitment, or sales. - [ ] Strong knowledge of sourcing tools (LinkedIn Recruiter, Naukri, Indeed, etc.). - [ ] Proficiency with CRM/ATS tools and Microsoft Office/Google Suite. - [ ] Excellent communication and interpersonal skills. - [ ] Ability to work independently, manage time, and meet targets. - [ ] Analytical mindset with attention to detail. Preferred Skills - [ ] Experience in recruitment/staffing industry. - [ ] Familiarity with cold calling, email campaigns, and LinkedIn outreach. - [ ] Ability to handle high volumes of data and multitask effectively. - [ ] Strong networking and relationship-building skills.
Data Scientist (Azure) Duration: 6-Month Contract Location: Remote (US Timing) About Us We are a leading managed services provider specializing in Data Analytics, IT Optimization, Cloud, and Virtualization . Our work spans Data Science & Business Intelligence , Data Center Optimization , Network & Storage Consolidation , and Workflow Improvements based on the ITIL framework . By helping organizations optimize infrastructure, power, and physical space, we create smarter, more efficient, and cost-effective IT ecosystems . About the Role We’re looking for an experienced Data Scientist with strong Azure expertise to join our growing team. You’ll design and implement data-driven solutions that use machine learning, advanced analytics, and cloud-based architectures to solve complex business and financial challenges. The ideal candidate has experience building and deploying predictive models for financial forecasting or financial services and enjoys working at the intersection of innovation, analytics, and efficiency . Key Responsibilities Use Azure Data Factory (ADF) , Azure Synapse Analytics , and related Azure services for financial data integration, transformation, and analysis. Apply statistical modeling , machine learning , and AI frameworks (PyTorch, TensorFlow, Scikit-learn, etc.) to solve complex business and financial problems. Build and refine predictive models for financial forecasting , risk analysis , and revenue optimization , ensuring accuracy and business impact. Develop, deploy, and scale machine learning models and data pipelines within the Azure ecosystem. Collaborate with business stakeholders to translate financial objectives into actionable data-driven insights . Optimize data workflows for efficiency, scalability, and accuracy . Partner with infrastructure and cloud teams to ensure secure, robust, and cost-optimized deployments . Document, monitor, and enhance models in production to maintain long-term accuracy and performance. Qualifications Required: Proven experience as a Data Scientist using Azure cloud services (ADF, Synapse, Azure Machine Learning, Databricks preferred). Hands-on experience building financial forecasting , risk , or predictive models (e.g., revenue, demand, churn, credit risk). Proficiency in Python for data manipulation, analysis, and model development. Experience with machine learning frameworks (PyTorch, TensorFlow, or similar). Strong understanding of data warehousing , ETL processes , and big data analytics . Excellent problem-solving ability with skill in translating business and financial goals into technical solutions . Preferred: Background in the financial services industry (banking, insurance, fintech, or investment management). Experience in data center optimization , IT infrastructure analytics , or cloud/virtualization environments. Familiarity with ITIL practices and process improvement methodologies . Strong communication skills with the ability to work effectively with both technical and non-technical teams.