To work closely with the sales team to support new opportunities, write RFPs and create a project vision to understand the business goal for the clients and all stakeholders. To provide pre-design services which may include conducting feasibilities studies or specifying the requirements the designs must meet To conceptualize and present the design (design concept, space planning, and costing proposals) to the potential client, while acting as a workplace strategist to consult and offer office solutions. To conduct fact-finding and keep up with the latest trend regarding current work styles and workplace conditions To collaborate with external consultants, including outsourced ID, through the design phase To ensure design deliverables adhere to product standards and any quality assurance policies and procedures for design, documentation, and project management. To assist Project Manager with the overall project management for the opening of new outlets, including coworking spaces and the new custom-built enterprise solutions. To communicate project updates regularly to management and cross functional teams such as the status of each project, potential issues, risks, etc, Host project meetings and client presentations as needed, Assist in site supervision and manage project costing from inception to completion. Other additional ad-hoc tasks as assigned.
Job Summary We are seeking a talented Full Stack Developer to join our dynamic team. In this role, you will design, build, and maintain end-to-end web applications. You’ll collaborate closely with cross-functional teams to define requirements, drive innovative solutions, and ensure high performance and scalability. Key Responsibilities Application Development Design, develop, test, and deploy web applications using modern full-stack technologies. Write clean, efficient, and maintainable code by following best practices and coding standards. Collaboration & Communication Work with product managers, designers, and other engineers to clarify requirements and estimate timelines. Participate in code reviews and design discussions to uphold code quality. Troubleshooting & Optimization Identify, debug, and resolve issues in production and development environments. Optimize application performance, reliability, and security. DevOps & Deployment Package applications in Docker containers; manage CI/CD pipelines and container orchestration. Deploy, monitor, and scale services on AWS, Azure, or Google Cloud Platform using managed compute, storage, and networking services. Security & Best Practices Implement authentication, authorization, and data-protection measures to safeguard user data. Stay current with security vulnerabilities and industry best practices. Qualifications Education Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). Professional Experience Proven track record as a Full Stack Developer (3+ years preferred). Technical Skills Front-end: React.js, HTML5, CSS3, JavaScript/TypeScript. Back-end: FastAPI, Django (or comparable frameworks). Databases: MongoDB, SQL (PostgreSQL, MySQL). Cloud & DevOps: AWS, GCP, or Azure; Docker; Kubernetes or other orchestration tools; CI/CD pipelines. Security: Familiarity with OAuth, JWT, encryption, and secure coding practices. Additional Skills Job Type: Full-time Pay: ₹20,000.00 - ₹45,000.00 per month Benefits: Paid sick time Work Location: In person Expected Start Date: 08/08/2025
About the Role: We’re seeking an AI/ML Engineer to build, train, and deploy machine learning and generative AI models. You’ll work across data, engineering, and product teams to create scalable AI solutions using the latest tools and frameworks. Responsibilities: Develop and deploy ML, DL, and GenAI models (LLMs, NLP, Computer Vision). Build end-to-end ML pipelines — data prep, training, testing, and deployment. Integrate models with APIs and cloud platforms . Implement MLOps for automation, CI/CD, and monitoring. Optimize models for accuracy, scalability, and performance . Stay current with AI/ML and LLM advancements . Skills & Tools: Languages: Python, SQL, R, Java/Scala Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras GenAI & LLMs: OpenAI, Hugging Face, LangChain, LlamaIndex, RAG, Vector DBs (Pinecone, Weaviate) Data Stack: Pandas, NumPy, Spark, Databricks, Airflow, BigQuery MLOps: Docker, Kubernetes, MLflow, SageMaker, Vertex AI, Azure ML Cloud: AWS / GCP / Azure Version Control: Git, GitHub, JIRA Soft Skills: Analytical mindset, strong communication, teamwork, and curiosity to learn emerging AI tools. Preferred Qualifications: Degree in CS, AI, or Data Science Experience with GenAI / LLM fine-tuning / MLOps Certifications (AWS AI/ML, Coursera, Stanford AI) are a plus Job Type: Full-time Pay: ₹40,000.00 - ₹45,000.00 per month Benefits: Paid sick time Work from home Education: Bachelor's (Preferred) Experience: Business development: 3 years (Required) total work: 1 year (Preferred) Language: English (Preferred) Work Location: In person
About the Role: We’re seeking an AI/ML Engineer to build, train, and deploy machine learning and generative AI models. You’ll work across data, engineering, and product teams to create scalable AI solutions using the latest tools and frameworks. Responsibilities: Develop and deploy ML, DL, and GenAI models (LLMs, NLP, Computer Vision). Build end-to-end ML pipelines — data prep, training, testing, and deployment. Integrate models with APIs and cloud platforms . Implement MLOps for automation, CI/CD, and monitoring. Optimize models for accuracy, scalability, and performance . Stay current with AI/ML and LLM advancements . Skills & Tools: Languages: Python, SQL, R, Java/Scala Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras GenAI & LLMs: OpenAI, Hugging Face, LangChain, LlamaIndex, RAG, Vector DBs (Pinecone, Weaviate) Data Stack: Pandas, NumPy, Spark, Databricks, Airflow, BigQuery MLOps: Docker, Kubernetes, MLflow, SageMaker, Vertex AI, Azure ML Cloud: AWS / GCP / Azure Version Control: Git, GitHub, JIRA Soft Skills: Analytical mindset, strong communication, teamwork, and curiosity to learn emerging AI tools. Preferred Qualifications: Degree in CS, AI, or Data Science Experience with GenAI / LLM fine-tuning / MLOps Certifications (AWS AI/ML, Coursera, Stanford AI) are a plus Job Type: Full-time Pay: ₹40,000.00 - ₹45,000.00 per month Benefits: Paid sick time Work from home Education: Bachelor's (Preferred) Experience: Business development: 3 years (Required) total work: 1 year (Preferred) Language: English (Preferred) Work Location: In person