As an ML Engineer, you will design and develop: • NLP pipelines for user inputs • Geolocation-based ML components • Ranking & matching algorithms • Embedding-based similarity systems • Data preprocessing and model evaluation workflows Core Required • Strong Python • NLP experience (HuggingFace, BERT family, Sentence Transformers etc.) • Experience with embeddings, similarity, or semantic search • Understanding of vector databases (FAISS, Pinecone, Qdrant etc.) • Experience with classification/ranking models • Familiarity with geolocation/geospatial data (distance calculation, filtering, clustering) • Experience in deploying ML models Nice to Have • Experience with multilingual text • Exposure to transformer-based architectures • Experience with lightweight inference optimization • Basic knowledge of recommendation systems QUALIFICATIONS • 1–4 years hands-on experience in NLP/ML • Strong grasp of ML fundamentals • Demonstrated projects in text or ranking models • Strong debugging and problem-solving skills • Comfortable working in a fast-moving startup environment
We are hiring an experienced Senior ML Engineer / Applied ML Lead who can: Build ML systems from scratch Own the ML architecture end-to-end Handle NLP, embeddings, and ranking models Work with geospatial data Deploy production-grade ML Guide and mentor junior ML engineers This is a founding-level role with full ownership of ML at Zillwork. Technical: 4–8 years experience in Machine Learning Strong Python (NumPy, Pandas, Scikit-learn) Deep learning frameworks: PyTorch or TensorFlow NLP: transformer-based models (HuggingFace, BERT family, XLM-R, Sentence Transformers) Embeddings + semantic similarity Vector search: FAISS / Pinecone / Qdrant Ranking algorithms (learning-to-rank, similarity scoring) Experience with geospatial data (distance filtering, clustering, geo-features) Hands-on experience deploying ML in production Experience building real systems (not academic-only) Nice-to-have: Experience with multilingual NLP Experience with ASR/voice pipelines Experience with recommendation systems Experience with model optimization for latency Basic DevOps knowledge (Docker, GPU workloads) Qualifications: Bachelor’s or Master’s in CS/AI/DS or equivalent experience Proven track record of delivering ML systems to production Ability to work independently Strong problem-solving + system design mindset Comfortable in early-stage startup environment
As a Senior ML Engineer / Applied ML Lead at Zillwork, you will be responsible for the following: - Building ML systems from scratch - Owning the ML architecture end-to-end - Handling NLP, embeddings, and ranking models - Working with geospatial data - Deploying production-grade ML - Guiding and mentoring junior ML engineers In this founding-level role, you will have full ownership of ML at Zillwork. Technical Qualifications: - 4-8 years experience in Machine Learning - Strong Python skills including NumPy, Pandas, and Scikit-learn - Proficiency in deep learning frameworks such as PyTorch or TensorFlow - Experience with NLP using transformer-based models like HuggingFace, BERT family, XLM-R, and Sentence Transformers - Familiarity with embeddings, semantic similarity, and vector search using FAISS, Pinecone, or Qdrant - Knowledge of ranking algorithms including learning-to-rank and similarity scoring - Hands-on experience with geospatial data for tasks like distance filtering, clustering, and geo-features - Experience deploying ML models in production environments - Experience building real systems, not limited to academic projects Nice-to-have skills: - Experience with multilingual NLP - Experience with ASR/voice pipelines - Experience with recommendation systems - Experience with model optimization for latency - Basic DevOps knowledge including Docker and managing GPU workloads Qualifications: - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or equivalent experience - Proven track record of delivering ML systems to production - Ability to work independently - Strong problem-solving skills and system design mindset - Comfortable working in an early-stage startup environment,
We are hiring an experienced Senior ML Engineer / Applied ML Lead who can: Build ML systems from scratch Own the ML architecture end-to-end Handle NLP, embeddings, and ranking models Work with geospatial data Deploy production-grade ML Guide and mentor junior ML engineers This is a founding-level role with full ownership of ML at Zillwork. Technical: 48 years experience in Machine Learning Strong Python (NumPy, Pandas, Scikit-learn) Deep learning frameworks: PyTorch or TensorFlow NLP: transformer-based models (HuggingFace, BERT family, XLM-R, Sentence Transformers) Embeddings + semantic similarity Vector search: FAISS / Pinecone / Qdrant Ranking algorithms (learning-to-rank, similarity scoring) Experience with geospatial data (distance filtering, clustering, geo-features) Hands-on experience deploying ML in production Experience building real systems (not academic-only) Nice-to-have: Experience with multilingual NLP Experience with ASR/voice pipelines Experience with recommendation systems Experience with model optimization for latency Basic DevOps knowledge (Docker, GPU workloads) Qualifications: Bachelor's or Master's in CS/AI/DS or equivalent experience Proven track record of delivering ML systems to production Ability to work independently Strong problem-solving + system design mindset Comfortable in early-stage startup environment
Zillwork is building the future of work using AI and modern workforce technology. We’re hiring a high-energy HR Lead to build our team, culture, and core operations. Responsibilities Lead end-to-end recruitment for technical and non-technical roles Build strong candidate pipelines using multiple sourcing channels Screen, coordinate, and schedule interviews efficiently Ensure smooth onboarding and documentation for new hires Promote a positive, disciplined, high-performance work culture Support employee engagement, grievance handling, and communication clarity Maintain healthy work relationships across all teams Assist with performance review coordination and feedback cycles Maintain employee records, attendance, leaves, and HR documentation Coordinate payroll inputs with finance Manage HR policies, process updates, and basic compliance Support internal communication and company HR announcements Oversee day-to-day office operations and vendor coordination Manage office supplies, logistics, and basic facility requirements Coordinate team meetings, travel arrangements, and small internal events Ensure smooth administrative support for the management team Work closely with the founder to understand hiring and people needs Maintain confidentiality and high ethical standards Share insights on team performance, risks, and improvements Qualifications 3–7 years of experience in HR, recruitment, and basic admin Experience working in startups or fast-paced environments Strong communication and interpersonal skills Proven ability to handle recruitment independently Good understanding of HR operations and policies Ability to multitask and manage multiple priorities smoothly High ownership, reliability, and professional maturity Ability to maintain confidentiality and handle sensitive matters Comfortable working directly with founders/leadership Experience in hiring for technical roles Knowledge of HRMS/ATS tools Basic knowledge of labor regulations Experience managing culture or employee engagement initiatives Exposure to admin, facilities, or vendor management
As a high-energy HR Lead at Zillwork, you will play a crucial role in building the team, culture, and core operations of the company. Your responsibilities will include: - Leading end-to-end recruitment for technical and non-technical roles - Building strong candidate pipelines using multiple sourcing channels - Screening, coordinating, and scheduling interviews efficiently - Ensuring smooth onboarding and documentation for new hires - Promoting a positive, disciplined, high-performance work culture - Supporting employee engagement, grievance handling, and communication clarity - Maintaining healthy work relationships across all teams - Assisting with performance review coordination and feedback cycles - Managing employee records, attendance, leaves, and HR documentation - Overseeing HR policies, process updates, and basic compliance - Supporting internal communication and company HR announcements - Managing day-to-day office operations and vendor coordination - Handling office supplies, logistics, and basic facility requirements - Coordinating team meetings, travel arrangements, and small internal events - Ensuring smooth administrative support for the management team - Working closely with the founder to understand hiring and people needs - Maintaining confidentiality and high ethical standards - Sharing insights on team performance, risks, and improvements To qualify for this role, you should have: - 3-7 years of experience in HR, recruitment, and basic admin - Experience working in startups or fast-paced environments - Strong communication and interpersonal skills - Proven ability to handle recruitment independently - Good understanding of HR operations and policies - Ability to multitask and manage multiple priorities smoothly - High ownership, reliability, and professional maturity - Ability to maintain confidentiality and handle sensitive matters - Comfortable working directly with founders/leadership - Experience in hiring for technical roles - Knowledge of HRMS/ATS tools - Basic knowledge of labor regulations - Experience managing culture or employee engagement initiatives - Exposure to admin, facilities, or vendor management Join Zillwork to be a part of building the future of work using AI and modern workforce technology.,
Key Responsibilities: 3–5 years in DevOps / Cloud / Infra Strong Linux & AWS experience Docker knowledge Understanding of networks, VPNs, IAM , and security best practices Experience with NAS or storage systems (Synology/TrueNAS/etc.) Scripting in Bash/Python Set up and maintain GPU workstations (Ubuntu, CUDA, Docker) Configure and manage NAS / storage (RAID, backups, shared folders) Build and secure AWS infrastructure (EC2, S3, IAM, VPC, RDS) Implement access restrictions , VPN, permissions Automate deployments using CI/CD (GitHub Actions) Ensure monitoring, logging, alerts, and backups Work directly with the founder to shape Zillwork’s infrastructure foundation Good communication & documentation skills Additional Skills: MLOps, GPU drivers, Terraform, Kubernetes, Grafana.
Role Description You will design intuitive, minimal, clarity-first experiences for structured information workflows. This position requires experience designing for diverse user types and multi-step journeys, not basic screens or simple apps. Responsibilities Design end-to-end user journeys, wireframes, prototypes, and final UIs Maintain and evolve a structured design system Work closely with engineering on precise implementation Create layouts optimized for clarity, readability, and multi-language scenarios Conduct research and usability testing to reduce friction Required Skills 3–7 years experience in professional product design Strong portfolio demonstrating data-heavy or multi-step product design Mastery in Figma and modern prototyping approaches Strong understanding of hierarchy, clarity, spacing, and UX fundamentals Ability to simplify complex flows into intuitive experiences This role requires professional product design experience. Not suitable for beginners or visual-only designers.
Description: This role demands an engineer who has already built complex, multi-layered systems in production. You’ll design end-to-end features involving structured data, secure workflow logic, and high-volume interactions across client and server layers. This is not an entry-level or mid-level role — it requires strong architectural judgment and hands-on expertise. Responsibilities: Build and maintain scalable front-end + back-end feature sets Architect clean API contracts and multi-step user flows Implement secure data handling, validation, and workflow logic Optimize UI and backend for speed, reliability, and consistency Collaborate cross-functionally to deliver polished user experiences Maintain system stability while shipping at pace Required Skills 5+ years hands-on with React/Next.js AND Node.js (or equivalent stacks) Strong command of data modeling, relational schemas, and distributed API design Proven experience building production applications used by large audiences Strong understanding of authentication, session security, and access models Ability to decompose complex requirements into clean, maintainable systems Demonstrated capability to work independently with minimal oversight This is a senior position. Junior or early-career profiles will not match the complexity of this role.
Description: We are looking for an engineer who has built sophisticated, data-driven interfaces at scale. This role involves translating structured, dynamic data into intuitive, high-performance UI flows. It requires both technical rigor and excellent design execution. Responsibilities: Develop high-performance interfaces for data-rich, multi-step user journeys Build reusable component systems with consistent interaction patterns Integrate deeply with backend workflows and structured datasets Deliver clean layouts optimized for multilingual usage and accessibility Work closely with UX to refine interactions and micro-details Required Skills: 4+ years building production-level React/Next.js apps Strong expertise in state management and API-driven UIs Experience designing UIs for complex data interactions Strong understanding of accessibility, performance tuning, and responsiveness Ability to turn abstract product requirements into refined interfaces This is not a junior or trainee role — only candidates with substantial UI engineering experience should apply.
About the Role You will design and optimize database systems that handle structured, high-frequency operations across multiple dimensions. The role requires deep knowledge of indexing, concurrency, query plans, and schema evolution. Responsibilities Design schemas to support multi-criteria filtering and high read/write concurrency Develop indexing strategies, partitioning, and query optimizations Analyze slow queries and deliver highly efficient alternatives Work with backend engineers on efficient access patterns Implement monitoring, integrity checks, and schema versioning Required Skills 5–10 years professional SQL experience (PostgreSQL preferred) Expertise in optimizing complex queries at scale Strong indexing and partitioning knowledge Experience designing databases for heavy structured-data systems Ability to anticipate performance issues and architect long-term solutions This is a senior technical role. Not appropriate for junior-level candidates.
Role Description You will architect backend systems that handle structured data, multi-dimensional filtering, secure operations, and bursts of high activity. This role requires deep experience designing reliable systems and optimizing performance at scale. Responsibilities Design secure, scalable backend services with clean boundaries Implement complex API logic, filtering mechanisms, and workflow orchestration Develop caching, job queues, indexing strategies, and performance optimizations Ensure strong data validation, observability, and fault tolerance Collaborate closely with product and frontend teams Required Skills 5–9 years backend experience with Node.js, Python, or Go Strong SQL + NoSQL fundamentals, schema design, query optimization Experience with distributed systems or high-volume services Solid understanding of authentication, authorization, and data security Proven ability to break down and deliver complex backend features This role requires prior experience with production-scale systems. Not suitable for entry-level or mid-level engineers.