Hiring: Data Scientist Location: Chennai / Bangalore (WFH) Experience: 4+ Years Employment Type: Full-Time Job Summary We are looking for a highly motivated and experienced Data Scientist to join our growing Data & AI team. The
Track AI & Automation (Mindspire) Role type Part-time / Contract · Online · Immediate start Session commitment Minimum 4 sessions per week, weekend compulsory (flexible scheduling) Student age range 6–18 years (entry cohort: Grades 1–3, ages
More than a mission, C2FO is a better financial system changing the way every business gains access to the working capital they need to thrive. At C2FO, everyone is an employee-owner which means we’re all invested
Company Description TriNexa is a technology consulting and engineering company focused on transforming ideas into intelligent, production-ready solutions using AI, data engineering, and next-generation technologies. The team designs and builds scalable digital platforms that help businesses
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and
About Keyy Keyy is a fast-growing startup building intelligent financial technology solutions focused on simplifying and optimizing how users manage their financial ecosystem. We are building scalable, data-driven products with a strong focus on performance, automation,
Role Overview Develop, deploy, and maintain machine learning models and AI solutions. Key Responsibilities Build and train ML models for business use cases. Prepare datasets, features, and model pipelines. Deploy models and monitor performance. Collaborate with
DETAILED JOB DESCRIPTION Design, build, and deploy scalable AI/ML and GenAI solutions on AWS. The role requires strong hands-on expertise in machine learning, deep learning, LLM integration, and production-grade model deployment in cloud environments. Key Responsibilities
Key Responsibilities Build, validate, and maintain machine learning models for forecasting, classification, regression, anomaly detection, and business analytics. Perform data cleaning, feature engineering, model evaluation, and performance monitoring to ensure reliable and scalable solutions. Develop data
You won’t just build models—you’ll own how intelligence shows up in real products. This role sits at the intersection of data, engineering, and decision-making, where models aren’t experiments—they’re expected to perform, scale, and deliver measurable impact.