Greetings from TCS Recruitment Team! *Face to Face* For all those Data Science we are coming bigger with the plan of Walk In Drive on 13th June,2026 (Saturday) in Kolkata It is a Face to Face interview
Experience: 4 to 7 years Location: Vadodara / Ahmedabad or Remote Job Type: Fulltime Work Hours: 1:30 PM IST – 10:00 PM IST (US Eastern overlap preferred) Company Description Sasvat Infotech specializes in high-end application development,
Walk-in drive for PTP/RTR/OTC/Tax on 9th-Apr-26 at Mysore location. Registration link for the job https://career.infosys.com/jobdesc?jobReferenceCode=PROGEN-HRODIRECT-242486 Interview details: Interview Date: 9th-Apr-26 Interview Time: 9:30 AM till 12 PM Interview Venue: Venue For Mysore: Infosys Campus Gate 2
About the Company Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we
About the Role: We are looking for a candidate with strong foundational knowledge in machine learning and deep learning, including architectures such as encoder–decoder models, transformers, CNNs, and GANs, along with a solid understanding of core
We’re Hiring: AI / ML Engineer GalaxiQ — (Remote-first) We’re building an AI-native marketing intelligence platform from the ground up. This is not a feature layer on top of existing software. We are building the core
AI-First Dynamics 365 & Power Platform Developer Company Description Build Warranty Group is a specialist provider of structural warranty and latent defects insurance solutions for construction projects across the UK. We work with private clients, property
Apply now: The Role You are, at your core, a full-stack engineer . You happen to be deeply fluent in the marketing and sales technology stack — HubSpot, Salesforce, Google Analytics — because you have spent
The Sr. ML Engineer will work directly with our Data Science Director to develop, refine, and productionize machine learning models that score healthcare claims against liability signals from legal, P&C, and other data sources. This role requires comfort