Role: - Business Development (Sales) Remote: - Mumbai, Maharashtra, India Salary;- 8k Per Month Remote Sales Intern focusing on lead generation via LinkedIn and cold emails. Full training provided. Job description Business Developer (Sales) Intern. Support Yooper growth by generating and tracking outreach leads. Full training provided. Company details We are a global consulting company operating across multiple verticals from tech partnerships and music labels to concert sponsorships, artist management, and brand advertising . Website: Yooper Requirements Prior work experience (internships, projects, or roles) Own laptop or PC with stable internet connection Proficient with Google Sheets and Google Docs Preferred: hands-on experience in business development, cold email outreach, or LinkedIn marketing Responsibilities Generate leads through cold LinkedIn direct messages (DMs) Execute cold email outreach campaigns to prospects Research and compile lead lists from provided sources Maintain accurate tracking of all outreach and responses Interview process Round 1: Resume screening Round 2: Recruitment or hiring manager conversation Round 3: Task-based evaluation or assignment Please fill in additional questions Do you have any prior internship or work experience * Do you have your own laptop or PC with a stable internet connection * Do you have hands-on experience using Google Sheets and Google Docs * Are you available to work daily for 6-8 hours, Monday to Friday * How soon can you join (We are looking for candidates who can join within 30 days) * Show more Show less
Lead AI Engineer & Intermediate AI Engineer (Regulatory Workflow Automation) Openings: 1 Lead + 1 Intermediate Location: Bangalore (Hybrid — 2–3 days/week onsite) Category: AI Engineering – Regulatory & Compliance Automation About the team We’re building AI-powered, automated workflows for compliance-heavy business processes. You’ll work closely with domain SMEs to translate rules and manual steps into scalable AI/ML-driven automation on Databricks and Azure. What you’ll do Build & deploy automated workflows for regulatory/compliance processes (ingestion → transformation → decisioning). Design agentic flows (LangChain/AutoGen) to orchestrate data pipelines and decisions. Implement impact analysis for risk, compliance, and cost assessments. Leverage Databricks (notebooks, jobs, DLT) for large-scale workflows and monitoring. Productionize solutions with CI/CD; containerize using Docker/Kubernetes on Azure . Partner with SMEs and engineering to re-design processes for scalability and auditability. Must-have skills Python (strong), Prompt Engineering, LangChain / AutoGen (agentic workflows). Databricks expertise: notebooks, pipelines, DLT, jobs, monitoring. Familiarity with regulatory/compliance data and workflows. CI/CD (GitHub/Jenkins/Azure DevOps), Docker/K8s , cloud deployment ( Azure preferred). Strong problem solving & stakeholder communication. Nice-to-have Experience with event-driven architectures, feature stores, and policy-as-code. Exposure to governance/lineage/observability tools. Experience bands Lead AI Engineer: 7–10+ years overall; 3+ years in AI workflow automation; prior mentoring/ownership of production systems. Intermediate AI Engineer: 3–6 years overall; hands-on with Databricks + agent frameworks; eager to own modules end-to-end.
Lead AI Engineer & Intermediate AI Engineer (Regulatory Workflow Automation) Openings: 1 Lead + 1 Intermediate Location: Bangalore (Hybrid 23 days/week onsite) Category: AI Engineering Regulatory & Compliance Automation About the team Were building AI-powered, automated workflows for compliance-heavy business processes. Youll work closely with domain SMEs to translate rules and manual steps into scalable AI/ML-driven automation on Databricks and Azure. What youll do Build & deploy automated workflows for regulatory/compliance processes (ingestion ? transformation ? decisioning). Design agentic flows (LangChain/AutoGen) to orchestrate data pipelines and decisions. Implement impact analysis for risk, compliance, and cost assessments. Leverage Databricks (notebooks, jobs, DLT) for large-scale workflows and monitoring. Productionize solutions with CI/CD; containerize using Docker/Kubernetes on Azure . Partner with SMEs and engineering to re-design processes for scalability and auditability. Must-have skills Python (strong), Prompt Engineering, LangChain / AutoGen (agentic workflows). Databricks expertise: notebooks, pipelines, DLT, jobs, monitoring. Familiarity with regulatory/compliance data and workflows. CI/CD (GitHub/Jenkins/Azure DevOps), Docker/K8s , cloud deployment ( Azure preferred). Strong problem solving & stakeholder communication. Nice-to-have Experience with event-driven architectures, feature stores, and policy-as-code. Exposure to governance/lineage/observability tools. Experience bands Lead AI Engineer: 710+ years overall; 3+ years in AI workflow automation; prior mentoring/ownership of production systems. Intermediate AI Engineer: 36 years overall; hands-on with Databricks + agent frameworks; eager to own modules end-to-end. Show more Show less