SETV HEALTHCARE TECHNOLOGY PRIVATE LIMITED Position: Artificial Intelligence (AI) Intern Location: Hybrid Employment Type: Internship (leading to Part-Time Opportunity) Duration: 3 Months Unpaid; Performance-Based conversions with stipend for part time from 4th Month (₹5,000 – ₹15,000/month) Working Hours: 5 hours/day + 1 hour lunch/dinner break Shift Options: 7:00 PM – 1:00 AM (IST) Company Description: SETV.W , a flagship division of SETV Global , is transforming healthcare through the power of Artificial Intelligence. We develop real-world AI solutions that empower clinicians, enhance diagnostics, and bridge gaps in access and quality of care. We are seeking curious, driven, and technically strong individuals to help build the next generation of medical AI systems. Duties and Responsibilities Research, design, and implement machine learning and deep learning models for image, video, text, and multi-modal healthcare data. Work on real-world healthcare datasets including medical imaging (CT, MRI, ultrasound), tabular clinical data, and electronic health records. Preprocess, clean, and annotate data using tools like NumPy, OpenCV, and Pandas. Train, fine-tune, and evaluate models using TensorFlow, PyTorch, Hugging Face Transformers, or ONNX. To work with LLMs and agents Collaborate with web, DevOps, and UI/UX teams for seamless AI model integration. Build and document modular AI pipelines using tools like MLflow, FastAPI, or Flask. Contribute to performance benchmarking, error analysis, and model explain ability (e.g., Grad-CAM, SHAP, LIME). Conduct literature reviews and propose innovative enhancements to existing models. Support deployment of models in production and edge environments (via TorchScript, TFLite, ONNX, etc.). Maintain version-controlled notebooks and adhere to reproducible ML practices. Requirements Strong understanding of ML/DL algorithms (CNNs, RNNs, Transformers, etc.). Experience with at least one deep learning framework (PyTorch, TensorFlow, or Keras). Solid Python programming skills and hands-on knowledge of data science libraries (NumPy, Pandas, Scikit-learn). Familiarity with real-world datasets and domain challenges in computer vision or NLP. Good grasp of evaluation metrics (Accuracy, F1-score, AUC, IoU, Dice, etc.). Exposure to model deployment, containerization (Docker), or API integration is a plus. Strong problem-solving skills and ability to work independently on research problems. Preferred Skills (Bonus): Experience with healthcare-specific AI tasks (segmentation, detection, classification, triage). Familiarity with DICOM/NIfTI data formats and libraries like MONAI or SimpleITK. Knowledge of Hugging Face, LangChain, or OpenAI API. Understanding of edge deployment strategies (NVIDIA Jetson, Coral, etc.). Research exposure (published papers, blog posts, or GitHub contributions). Qualifications: Education: Currently pursuing or recently completed a Bachelor's or Master’s degree or PHD in Computer Science, Data Science, AI, Biomedical Engineering, or a related field. Portfolio: Strong GitHub profile, Kaggle experience, or AI project portfolio required. Domain Knowledge: Awareness of medical AI standards (HIPAA, FDA guidelines) is an advantage. Selection Process (3 Rounds): Resume Screening – Based on portfolio, skills, and relevance. Technical Interview – Problem-solving, ML concepts, and project discussion. Founding Office Interview(Optional) – Strategic thinking, innovation mindset, and cultural alignment. What We Offer: Real-World Impact: Work on AI models that improve healthcare outcomes. Mentorship: Get guidance from leading experts in AI and medical tech. Career Growth: Opportunity for conversion to a paid part-time role and optional full time opportunities. Flexible Remote Work: Structured hours that support learning and productivity. Recognition: Performance-based incentives and loyalty rewards.
SETV HEALTHCARE TECHNOLOGIES PRIVATE LIMITED Position: Business/Market Analyst Intern Location: Hybrid (Remote + Onsite as required) Employment Type: Internship / Full-Time (based on profile & requirement) Duration: 3 Months Unpaid Internship (with possibility of extension or conversion to paid based on performance) Working Hours: 5 hours/day + 1 hour lunch/dinner break Shift Options: 7:00 PM – 1:00 AM (IST) Company Description: SETV.W , under SETV Global , is a fast-growing AI healthcare venture focused on transforming diagnostics and care pathways through AI-powered tools and platforms. We seek entrepreneurial minds to lead market research, pipeline building, and sales initiatives that fuel our growth in India and global markets. This role is ideal for data-savvy professionals looking to bridge business strategy and hands-on lead generation. Job Summary: We are seeking a highly analytical and results-driven Business Analyst with a core focus on Sales Lead Generation . This hybrid role combines data-driven decision-making with strategic outreach and pipeline development. The ideal candidate will be responsible for identifying and qualifying high-potential leads, supporting outbound sales strategies, and helping drive top-of-the-funnel growth through market research, CRM management, and cross-functional collaboration. Key Responsibilities: Data Analysis & Strategy: Conduct in-depth market research to identify emerging opportunities, high-value segments, and competitor positioning. Analyze CRM data, sales performance metrics, and external trends to shape lead generation strategy. Build dashboards and reporting structures to visualize outreach effectiveness and market engagement. Optimize data collection workflows and lead quality through structured processes and automation. Lead Identification & Qualification: Identify new leads through tools like LinkedIn Sales Navigator , industry directories , and CRM databases . Score and qualify leads using structured frameworks to align with ICP (Ideal Customer Profile). Update and manage lead records using HubSpot , Salesforce , or equivalent CRMs with accuracy. Outreach & Nurturing: Initiate contact through email, phone, LinkedIn, or WhatsApp with tailored messaging across personas. Develop and refine outreach scripts, cadences, and templates to improve engagement and conversion. Track outreach interactions, follow-ups, and funnel progression, moving leads from MQL to SQL status. Support appointment setting, demo booking, and initial client communication in collaboration with sales teams. Collaboration & Optimization: Coordinate with marketing, inside sales, and product teams to ensure smooth handover of qualified leads. Act as a liaison between technical teams and business goals to refine lead generation processes. Track KPIs including MQL to SQL conversion , email open rates , response rates , and pipeline growth . Research new tools, best practices, and channels for continuous improvement. Qualifications: Bachelor’s degree in Business, Marketing, IT, Computer Science, or related fields. Master’s preferred. Prior experience in Business Analysis, SDR, or Lead Generation roles (1–3 years preferred). Strong understanding of data modeling, analytics, and sales metrics. Hands-on experience with CRM tools ( HubSpot , Salesforce ), and BI tools ( Tableau , Power BI ). Familiarity with SQL or data querying techniques is an advantage. Outstanding communication, interpersonal, and presentation skills. Proven track record of lead generation success and proactive pipeline contribution. Skills: Analytical Skills: Data analysis Market research Lead qualification Financial/statistical analysis Sales & Marketing: Prospecting Cold outreach Email marketing Social selling Lead nurturing Funnel optimization Technical Skills: CRM systems: HubSpot , Salesforce BI tools: Power BI , Tableau SQL basics LinkedIn Sales Navigator Advanced Excel JIRA/Confluence (for process flows) Soft Skills: Communication (written & verbal) Active listening & empathy Problem-solving & adaptability Organization & time management Negotiation & relationship building Initiative & self-motivation Domain Knowledge: Familiarity with Healthcare , HealthTech , AI , or Startup ecosystems is a strong plus. Selection Process (3 Rounds): Resume Screening – Review based on experience, alignment, and performance metrics. Technical/Strategic Interview – Evaluate business understanding, sales approach, and analytical thinking. Founding Office Interview(Optional) – Assess leadership mindset, cultural fit, and ability to drive impact in a fast-paced environment. What We Offer: Real-World Exposure: Hands-on experience in a fast-growing health AI startup. Mentorship: Regular interaction with founders and senior strategy leads. Career Growth: Path to full-time strategic roles based on contribution. Learning Environment: Access to industry insights, modern tools, and live campaigns. Performance Incentives: Conversion opportunities, certification, and loyalty points.
Job Description SETV GLOBAL Position: Product Development Intern Location: Remote Employment Type: Internship (leading to Part-Time Opportunity & Full-Time Opportunity) Duration: 3 Months Unpaid; Performance-Based Stipend from 4th Month (₹5,000 – ₹15,000/month) Working Hours: 5 hours/day + 1 hour lunch/dinner break Shift Options: 2:00 PM – 8:00 PM (IST) 7:00 PM – 1:00 AM (IST) Company Description: SETV.W , a subsidiary of SETV Global , is pioneering the integration of Artificial Intelligence and Machine Learning in healthcare. Our mission is to create smarter, faster, and more accessible healthcare systems worldwide through AI-driven solutions. We are seeking passionate innovators to join us in building technology that truly makes a difference. Duties and Responsibilities Web Developer Intern: Develop responsive and user-centric interfaces using HTML, CSS, JavaScript, and modern frameworks like React, Angular, Vue, React Native, or Nuxt.js . Implement backend systems using Python (Django), PHP (Laravel), Node.js (Express.js), or GoLang. Collaborate with UI/UX and AI teams for seamless integration. Manage databases such as MySQL, PostgreSQL, MongoDB, and Azure Cosmos DB . Work with Redis and other caching technologies. Integrate AI models using Flask, REST, FastAPI, GraphQL, SOAP, gRPC, MQTT, or WebSockets. Conduct performance tuning, scalability testing, and debugging. Maintain clean code and technical documentation. Stay updated with modern frameworks and participate in agile ceremonies. Ensure cross-browser and responsive design compatibility. DevOps Engineer Intern: Assist in building CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or GitLab CI/CD. Manage cloud infrastructure ( AWS or Azure ) and automate provisioning. Gain hands-on experience with Docker and Kubernetes . Write infrastructure automation scripts ( Python, Bash, PowerShell ). Monitor systems using Prometheus, Grafana, or ELK Stack . Streamline deployments and enforce security best practices. Maintain clear documentation and support knowledge-sharing sessions. Conduct security assessments and monitor compliance. Requirements Web Developer Intern: Proficiency in HTML, CSS, JavaScript, and at least three frameworks ( React, Angular, Vue, React Native, Nuxt.js ). Knowledge of backend tools (Django, Laravel, Express.js) and server-side languages (Python, PHP, Node.js) . Experience with databases: MySQL, PostgreSQL, MongoDB, Cosmos DB . API integration and testing skills ( REST, Postman, Selenium ). Version control using Git. Excellent debugging and problem-solving abilities. DevOps Engineer Intern: Familiarity with cloud platforms ( AWS, Azure ). Hands-on with CI/CD tools and containerization ( Docker, Kubernetes ). Scripting skills in Python, Bash, or PowerShell . Understanding of monitoring tools and infrastructure security. Exposure to IaC tools ( Terraform, Ansible ) is a plus. Strong organizational and collaboration skills. Qualifications: Education: Pursuing or recently completed Bachelor’s/Master’s in Engineering or relate d fields.Portf olio: Stro ng project portfolio in Web/DevOps preferred.Healt hcare Domain Awareness: Know ledge of healthcare systems and standards is an added advantage. Selection Process (3 Rounds): Resume Screening – Shortlisting based on technical skills and ex perience.Task Round – Yo u will receive an email with a task that needs to be submitted before the given deadline.Techn ical Interview + HR – In -depth evaluation of development/DevOps capabilities, assessing cultural fit, vision alignment, and strategic thinking. What We Offer: Impactful Experience: Contribute to real-world healthcare in novation.Mento rship: Lear n from experts in AI/ML and health tech.Growt h Path: Conv ersion to paid part-time role based on performance.Flexi ble & Remote: Work from anywhere with aligned hours.Incen tives: Earn loyalty points and recognition for dedication and performance.
SETV GLOBAL Position: LLM Engineer Intern Location: Hybrid Type: Internship 3 months unpaid Working Hours: 5 hrs/day + 1 hr break Future Path: Conversion to Paid Part-Time (₹5,000–₹25,000/month) → Full-Time Company Description SETV.W, a subsidiary of SETV Global, is pioneering the integration of Artificial Intelligence and Machine Learning in healthcare. Our mission is to create smarter, faster, and more accessible healthcare systems worldwide through AI-driven solutions. We are seeking passionate innovators to join us in building one of India’s first cutting-edge Large Language Model (LLM) applications that will transform clinical workflows and patient care globally. By joining us, you’ll be part of a pioneering team that’s shaping the future of clinical AI, diagnostics, and treatment planning and helping millions of patients globally Role: LLM Engineer Intern You’ll be part of our core AI innovation team, working on cutting-edge challenges in medical language intelligence. Expect to experiment, break boundaries, and learn fast. Key Responsibilities • Build, fine-tune, and deploy LLMs (GPT, LLaMA, Mistral, Falcon, etc.) for healthcare workflows. • Implement RAG pipelines with vector databases (Pinecone, FAISS, Qdrant, Weaviate). • Preprocess and curate clinical/biomedical datasets (structured + unstructured). • Develop domain-specific prompts, chains, and agents for medical tasks. • Optimize models for latency, scalability, and cost-efficiency in real-world hospital environments. • Integrate LLM APIs with backend stacks (FastAPI, Flask, Django, Node.js). • Contribute to agentic AI workflows: automated reports, patient summaries, decision-support bots. • Benchmark performance (BLEU, ROUGE, BERTScore, perplexity) with healthcare datasets. • Collaborate across AI, DevOps, and Product for end-to-end deployment. • Maintain reproducible code, clean documentation, and state-of-the-art research adoption. What We’re Looking For • Languages & Frameworks: Python, PyTorch/TensorFlow. • LLM/NLP Expertise: Transformers (BERT, GPT, LLaMA, etc.), LangChain, Haystack, or LlamaIndex. • Vector Databases: Pinecone, FAISS, Qdrant, Weaviate. • Data Skills: Preprocessing EMRs, PDFs, unstructured medical text. • Deployment: FastAPI/Flask, REST APIs, Git version control. • Strong debugging + problem-solving mindset. • Exposure to healthcare datasets (MIMIC-III, PubMed, CheXpert) is a plus. • Awareness of Responsible AI & Compliance (HIPAA, GDPR, DPDP) preferred. Qualifications • Pursuing or recently completed Bachelors/Masters in CS, AI/ML, Data Science, or related. • Strong project portfolio (GitHub, demos, research papers, hackathon wins). • Healthcare domain awareness = added advantage. Selection Process 1. Resume Screening – based on projects, portfolio, and LLM experience. 2. Technical + HR Interview – assess problem-solving, innovation, and cultural fit. Why Join Us? • Impact at Scale: Work on a system that will power doctors and hospitals globally. • Learn from the Best: Mentorship from experts in NLP, MedTech, and Deep Learning. • Career Pathway: Internship → Part-time (paid) → Full-time. • Global Recognition: Work on India’s first proprietary healthcare SLM. • Flexibility: Remote-first, outcome-driven. • Visibility & Credits: Certificates, acknowledgments, and your name on groundbreaking projects. This is not “just another internship.” It’s a chance to build history with us — if you’re hungry to solve real problems, push AI boundaries, and shape the future of global healthcare.