Job Profile: We are looking for a Technical Delivery Manager (“TDM”) as a single-threaded owner of Delivery team output in scope. TDM to lead the end-to-end delivery of complex AI/ML, Generative AI, LLM, and data-driven technology projects.
Data & Business Intelligence Engineer – Investment Technology India (Remote) | Full-Time | Permanent | Venture Capital / Investment Tech Placed by Hotsourced – connecting top Indian talent with world-class global companies Our client is a
Company Description Vamstar equips leading global MedTech, Pharma, and Biotech organizations with agentic AI solutions designed to drive commercial performance, from tendering and pricing to market access and contracts. Existing Clients: Top 100 Lifesciences, MedTech and
Role Overview: Neutrino Advisory is looking for an experienced Senior Data Engineer with strong hands-on experience building and supporting data solutions on AWS . The role requires solid experience with Amazon Redshift, S3, AWS Glue, Amazon
Responsibilities Own and evolve the enterprise data architecture supporting operational, analytical, and AI workloads Design scalable data platforms for transactional databases, analytical data warehouses/lakehouses, and AI/ML data pipelines Define data models, integration standards, metadata management, and
Senior Professional Services Consultant (Developer) About Egnyte: Egnyte is the only all-in-one platform that combines data-centric security and governance, AI for real-time and predictive insights, and the flexibility to connect with the content sources and applications
Senior Engineer – Applied AI (Agentic AI Systems) Tenure: 6 Months Location: Remote Shift: 2 PM – 11 PM Experience: 5–8 Years Role Overview: We are looking for a hands-on Senior Engineer to build and productionize
We are hiring a senior Quality Engineering leader who owns end-to-end quality, release sign-off, and automation strategy across our platform — including AI agents, web applications, APIs, and databases . This role blends: Quality Ownership Automation
Product Engineer (Full-Time, Remote) Location: Remote (must be available during EST working hours) Compensation: $2,000 - $3,500/month (based on experience) About AnswerThis AnswerThis is an AI-powered research platform built to eliminate the most time-consuming part of
About the Role Nanoprecise Sci Corp is building the security spine of a next-generation IoT + AI platform used across industrial and enterprise environments. We are looking for a seasoned Security Engineer who combines deep technical offensive and defensive expertise with
About Vericence Vericence is a digital engineering and technology consulting firm helping enterprises build AI-driven platforms, modernize legacy systems, and scale innovation through cloud, data, and intelligent engineering. We partner with global organizations to deliver high-impact
About the Role We are looking for a strong backend engineer who can work across our existing PHP backend while helping us build the next generation of AI-powered product capabilities. This is not a pure AI
Senior Backend Engineer Location: Remote Employment: Full-Time Experience: 5+ Years Working Hours: 9:30 PM - 6:30 AM IST (aligned with PST) Preferred: Startup / High-Growth Technology Experience ABOUT THE ROLE We are looking for a Senior
VaneXson Business Solutions - WE ARE HIRING! AI Application Developer – Chatbots & Web Apps VaneXson Business Solutions is a business technology and consulting company working at the intersection of Artificial Intelligence, Data, Digital Transformation and
MDM Data Engineer Location: Remote (Offshore) Job type: Full time Must Have Skills: SKills Rating out of 5 No of years exp Snowflake- 5 Years PL/SQL- 5 Years Master Data Management- 5 Years Scripting – Python- 5
Full Stack AI Engineer Company: Syce Location: Remote / Hybrid Employment: Full-time About the Role Syce is looking for a Full Stack AI Engineer to join our engineering team and help build modern AI-powered software products.
At ApplyAZ, we’re building systems that handle the daily work behind student applications, appointments, documents, and follow-ups. Our infrastructure runs on AWS, our product layer uses Next.js, and we’re building AI agents that carry out operational